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parent
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15
.editorconfig
Normal file
15
.editorconfig
Normal file
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@ -0,0 +1,15 @@
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||||||
|
# EditorConfig is awesome: https://EditorConfig.org
|
||||||
|
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||||||
|
# top-most EditorConfig file
|
||||||
|
root = true
|
||||||
|
|
||||||
|
[*]
|
||||||
|
indent_style = space
|
||||||
|
indent_size = 4
|
||||||
|
end_of_line = lf
|
||||||
|
charset = utf-8
|
||||||
|
trim_trailing_whitespace = true
|
||||||
|
insert_final_newline = true
|
||||||
|
|
||||||
|
[*.{json,toml}]
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||||||
|
indent_size = 2
|
||||||
45
.github/workflows/main.yml
vendored
45
.github/workflows/main.yml
vendored
|
|
@ -1,45 +0,0 @@
|
||||||
name: Publish Docker image
|
|
||||||
|
|
||||||
on:
|
|
||||||
push:
|
|
||||||
branches: master
|
|
||||||
|
|
||||||
jobs:
|
|
||||||
push_to_registry:
|
|
||||||
name: Push Docker image
|
|
||||||
runs-on: ubuntu-latest
|
|
||||||
steps:
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|
||||||
- name: Checkout
|
|
||||||
uses: actions/checkout@v2
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|
||||||
|
|
||||||
- name: Set up Docker Buildx
|
|
||||||
uses: docker/setup-buildx-action@v1
|
|
||||||
|
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||||||
- name: Log in to Docker Hub
|
|
||||||
uses: docker/login-action@v1
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|
||||||
with:
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|
||||||
username: milesial
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|
||||||
password: ${{ secrets.DOCKER_PASSWORD }}
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|
||||||
|
|
||||||
- name: Log in to the Container registry
|
|
||||||
uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
|
|
||||||
with:
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||||||
registry: ghcr.io
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|
||||||
username: ${{ github.repository_owner }}
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|
||||||
password: ${{ secrets.GITHUB_TOKEN }}
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||||||
|
|
||||||
- name: Extract metadata (tags, labels) for Docker
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|
||||||
id: meta
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||||||
uses: docker/metadata-action@v3
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||||||
with:
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||||||
images: milesial/unet
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||||||
|
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||||||
- name: Build and push Docker image
|
|
||||||
id: docker_build
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|
||||||
uses: docker/build-push-action@v2
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|
||||||
with:
|
|
||||||
context: .
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|
||||||
push: true
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||||||
tags: |
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||||||
milesial/unet:latest
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|
||||||
ghcr.io/milesial/pytorch-unet:latest
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|
||||||
10
.gitignore
vendored
10
.gitignore
vendored
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@ -1,9 +1,5 @@
|
||||||
*.pyc
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.venv/
|
||||||
data/
|
.mypy_cache/
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||||||
__pycache__/
|
__pycache__/
|
||||||
|
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||||||
checkpoints/
|
checkpoints/
|
||||||
*.pth
|
|
||||||
*.jpg
|
|
||||||
venv/
|
|
||||||
.idea/
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|
||||||
wandb/
|
|
||||||
|
|
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||||||
|
|
@ -1,9 +0,0 @@
|
||||||
FROM nvcr.io/nvidia/pytorch:22.01-py3
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|
||||||
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||||||
RUN rm -rf /workspace/*
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|
||||||
WORKDIR /workspace/unet
|
|
||||||
|
|
||||||
ADD requirements.txt .
|
|
||||||
RUN pip install --no-cache-dir --upgrade --pre pip
|
|
||||||
RUN pip install --no-cache-dir -r requirements.txt
|
|
||||||
ADD . .
|
|
||||||
674
LICENSE
674
LICENSE
|
|
@ -1,674 +0,0 @@
|
||||||
GNU GENERAL PUBLIC LICENSE
|
|
||||||
Version 3, 29 June 2007
|
|
||||||
|
|
||||||
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
|
|
||||||
Everyone is permitted to copy and distribute verbatim copies
|
|
||||||
of this license document, but changing it is not allowed.
|
|
||||||
|
|
||||||
Preamble
|
|
||||||
|
|
||||||
The GNU General Public License is a free, copyleft license for
|
|
||||||
software and other kinds of works.
|
|
||||||
|
|
||||||
The licenses for most software and other practical works are designed
|
|
||||||
to take away your freedom to share and change the works. By contrast,
|
|
||||||
the GNU General Public License is intended to guarantee your freedom to
|
|
||||||
share and change all versions of a program--to make sure it remains free
|
|
||||||
software for all its users. We, the Free Software Foundation, use the
|
|
||||||
GNU General Public License for most of our software; it applies also to
|
|
||||||
any other work released this way by its authors. You can apply it to
|
|
||||||
your programs, too.
|
|
||||||
|
|
||||||
When we speak of free software, we are referring to freedom, not
|
|
||||||
price. Our General Public Licenses are designed to make sure that you
|
|
||||||
have the freedom to distribute copies of free software (and charge for
|
|
||||||
them if you wish), that you receive source code or can get it if you
|
|
||||||
want it, that you can change the software or use pieces of it in new
|
|
||||||
free programs, and that you know you can do these things.
|
|
||||||
|
|
||||||
To protect your rights, we need to prevent others from denying you
|
|
||||||
these rights or asking you to surrender the rights. Therefore, you have
|
|
||||||
certain responsibilities if you distribute copies of the software, or if
|
|
||||||
you modify it: responsibilities to respect the freedom of others.
|
|
||||||
|
|
||||||
For example, if you distribute copies of such a program, whether
|
|
||||||
gratis or for a fee, you must pass on to the recipients the same
|
|
||||||
freedoms that you received. You must make sure that they, too, receive
|
|
||||||
or can get the source code. And you must show them these terms so they
|
|
||||||
know their rights.
|
|
||||||
|
|
||||||
Developers that use the GNU GPL protect your rights with two steps:
|
|
||||||
(1) assert copyright on the software, and (2) offer you this License
|
|
||||||
giving you legal permission to copy, distribute and/or modify it.
|
|
||||||
|
|
||||||
For the developers' and authors' protection, the GPL clearly explains
|
|
||||||
that there is no warranty for this free software. For both users' and
|
|
||||||
authors' sake, the GPL requires that modified versions be marked as
|
|
||||||
changed, so that their problems will not be attributed erroneously to
|
|
||||||
authors of previous versions.
|
|
||||||
|
|
||||||
Some devices are designed to deny users access to install or run
|
|
||||||
modified versions of the software inside them, although the manufacturer
|
|
||||||
can do so. This is fundamentally incompatible with the aim of
|
|
||||||
protecting users' freedom to change the software. The systematic
|
|
||||||
pattern of such abuse occurs in the area of products for individuals to
|
|
||||||
use, which is precisely where it is most unacceptable. Therefore, we
|
|
||||||
have designed this version of the GPL to prohibit the practice for those
|
|
||||||
products. If such problems arise substantially in other domains, we
|
|
||||||
stand ready to extend this provision to those domains in future versions
|
|
||||||
of the GPL, as needed to protect the freedom of users.
|
|
||||||
|
|
||||||
Finally, every program is threatened constantly by software patents.
|
|
||||||
States should not allow patents to restrict development and use of
|
|
||||||
software on general-purpose computers, but in those that do, we wish to
|
|
||||||
avoid the special danger that patents applied to a free program could
|
|
||||||
make it effectively proprietary. To prevent this, the GPL assures that
|
|
||||||
patents cannot be used to render the program non-free.
|
|
||||||
|
|
||||||
The precise terms and conditions for copying, distribution and
|
|
||||||
modification follow.
|
|
||||||
|
|
||||||
TERMS AND CONDITIONS
|
|
||||||
|
|
||||||
0. Definitions.
|
|
||||||
|
|
||||||
"This License" refers to version 3 of the GNU General Public License.
|
|
||||||
|
|
||||||
"Copyright" also means copyright-like laws that apply to other kinds of
|
|
||||||
works, such as semiconductor masks.
|
|
||||||
|
|
||||||
"The Program" refers to any copyrightable work licensed under this
|
|
||||||
License. Each licensee is addressed as "you". "Licensees" and
|
|
||||||
"recipients" may be individuals or organizations.
|
|
||||||
|
|
||||||
To "modify" a work means to copy from or adapt all or part of the work
|
|
||||||
in a fashion requiring copyright permission, other than the making of an
|
|
||||||
exact copy. The resulting work is called a "modified version" of the
|
|
||||||
earlier work or a work "based on" the earlier work.
|
|
||||||
|
|
||||||
A "covered work" means either the unmodified Program or a work based
|
|
||||||
on the Program.
|
|
||||||
|
|
||||||
To "propagate" a work means to do anything with it that, without
|
|
||||||
permission, would make you directly or secondarily liable for
|
|
||||||
infringement under applicable copyright law, except executing it on a
|
|
||||||
computer or modifying a private copy. Propagation includes copying,
|
|
||||||
distribution (with or without modification), making available to the
|
|
||||||
public, and in some countries other activities as well.
|
|
||||||
|
|
||||||
To "convey" a work means any kind of propagation that enables other
|
|
||||||
parties to make or receive copies. Mere interaction with a user through
|
|
||||||
a computer network, with no transfer of a copy, is not conveying.
|
|
||||||
|
|
||||||
An interactive user interface displays "Appropriate Legal Notices"
|
|
||||||
to the extent that it includes a convenient and prominently visible
|
|
||||||
feature that (1) displays an appropriate copyright notice, and (2)
|
|
||||||
tells the user that there is no warranty for the work (except to the
|
|
||||||
extent that warranties are provided), that licensees may convey the
|
|
||||||
work under this License, and how to view a copy of this License. If
|
|
||||||
the interface presents a list of user commands or options, such as a
|
|
||||||
menu, a prominent item in the list meets this criterion.
|
|
||||||
|
|
||||||
1. Source Code.
|
|
||||||
|
|
||||||
The "source code" for a work means the preferred form of the work
|
|
||||||
for making modifications to it. "Object code" means any non-source
|
|
||||||
form of a work.
|
|
||||||
|
|
||||||
A "Standard Interface" means an interface that either is an official
|
|
||||||
standard defined by a recognized standards body, or, in the case of
|
|
||||||
interfaces specified for a particular programming language, one that
|
|
||||||
is widely used among developers working in that language.
|
|
||||||
|
|
||||||
The "System Libraries" of an executable work include anything, other
|
|
||||||
than the work as a whole, that (a) is included in the normal form of
|
|
||||||
packaging a Major Component, but which is not part of that Major
|
|
||||||
Component, and (b) serves only to enable use of the work with that
|
|
||||||
Major Component, or to implement a Standard Interface for which an
|
|
||||||
implementation is available to the public in source code form. A
|
|
||||||
"Major Component", in this context, means a major essential component
|
|
||||||
(kernel, window system, and so on) of the specific operating system
|
|
||||||
(if any) on which the executable work runs, or a compiler used to
|
|
||||||
produce the work, or an object code interpreter used to run it.
|
|
||||||
|
|
||||||
The "Corresponding Source" for a work in object code form means all
|
|
||||||
the source code needed to generate, install, and (for an executable
|
|
||||||
work) run the object code and to modify the work, including scripts to
|
|
||||||
control those activities. However, it does not include the work's
|
|
||||||
System Libraries, or general-purpose tools or generally available free
|
|
||||||
programs which are used unmodified in performing those activities but
|
|
||||||
which are not part of the work. For example, Corresponding Source
|
|
||||||
includes interface definition files associated with source files for
|
|
||||||
the work, and the source code for shared libraries and dynamically
|
|
||||||
linked subprograms that the work is specifically designed to require,
|
|
||||||
such as by intimate data communication or control flow between those
|
|
||||||
subprograms and other parts of the work.
|
|
||||||
|
|
||||||
The Corresponding Source need not include anything that users
|
|
||||||
can regenerate automatically from other parts of the Corresponding
|
|
||||||
Source.
|
|
||||||
|
|
||||||
The Corresponding Source for a work in source code form is that
|
|
||||||
same work.
|
|
||||||
|
|
||||||
2. Basic Permissions.
|
|
||||||
|
|
||||||
All rights granted under this License are granted for the term of
|
|
||||||
copyright on the Program, and are irrevocable provided the stated
|
|
||||||
conditions are met. This License explicitly affirms your unlimited
|
|
||||||
permission to run the unmodified Program. The output from running a
|
|
||||||
covered work is covered by this License only if the output, given its
|
|
||||||
content, constitutes a covered work. This License acknowledges your
|
|
||||||
rights of fair use or other equivalent, as provided by copyright law.
|
|
||||||
|
|
||||||
You may make, run and propagate covered works that you do not
|
|
||||||
convey, without conditions so long as your license otherwise remains
|
|
||||||
in force. You may convey covered works to others for the sole purpose
|
|
||||||
of having them make modifications exclusively for you, or provide you
|
|
||||||
with facilities for running those works, provided that you comply with
|
|
||||||
the terms of this License in conveying all material for which you do
|
|
||||||
not control copyright. Those thus making or running the covered works
|
|
||||||
for you must do so exclusively on your behalf, under your direction
|
|
||||||
and control, on terms that prohibit them from making any copies of
|
|
||||||
your copyrighted material outside their relationship with you.
|
|
||||||
|
|
||||||
Conveying under any other circumstances is permitted solely under
|
|
||||||
the conditions stated below. Sublicensing is not allowed; section 10
|
|
||||||
makes it unnecessary.
|
|
||||||
|
|
||||||
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
|
|
||||||
|
|
||||||
No covered work shall be deemed part of an effective technological
|
|
||||||
measure under any applicable law fulfilling obligations under article
|
|
||||||
11 of the WIPO copyright treaty adopted on 20 December 1996, or
|
|
||||||
similar laws prohibiting or restricting circumvention of such
|
|
||||||
measures.
|
|
||||||
|
|
||||||
When you convey a covered work, you waive any legal power to forbid
|
|
||||||
circumvention of technological measures to the extent such circumvention
|
|
||||||
is effected by exercising rights under this License with respect to
|
|
||||||
the covered work, and you disclaim any intention to limit operation or
|
|
||||||
modification of the work as a means of enforcing, against the work's
|
|
||||||
users, your or third parties' legal rights to forbid circumvention of
|
|
||||||
technological measures.
|
|
||||||
|
|
||||||
4. Conveying Verbatim Copies.
|
|
||||||
|
|
||||||
You may convey verbatim copies of the Program's source code as you
|
|
||||||
receive it, in any medium, provided that you conspicuously and
|
|
||||||
appropriately publish on each copy an appropriate copyright notice;
|
|
||||||
keep intact all notices stating that this License and any
|
|
||||||
non-permissive terms added in accord with section 7 apply to the code;
|
|
||||||
keep intact all notices of the absence of any warranty; and give all
|
|
||||||
recipients a copy of this License along with the Program.
|
|
||||||
|
|
||||||
You may charge any price or no price for each copy that you convey,
|
|
||||||
and you may offer support or warranty protection for a fee.
|
|
||||||
|
|
||||||
5. Conveying Modified Source Versions.
|
|
||||||
|
|
||||||
You may convey a work based on the Program, or the modifications to
|
|
||||||
produce it from the Program, in the form of source code under the
|
|
||||||
terms of section 4, provided that you also meet all of these conditions:
|
|
||||||
|
|
||||||
a) The work must carry prominent notices stating that you modified
|
|
||||||
it, and giving a relevant date.
|
|
||||||
|
|
||||||
b) The work must carry prominent notices stating that it is
|
|
||||||
released under this License and any conditions added under section
|
|
||||||
7. This requirement modifies the requirement in section 4 to
|
|
||||||
"keep intact all notices".
|
|
||||||
|
|
||||||
c) You must license the entire work, as a whole, under this
|
|
||||||
License to anyone who comes into possession of a copy. This
|
|
||||||
License will therefore apply, along with any applicable section 7
|
|
||||||
additional terms, to the whole of the work, and all its parts,
|
|
||||||
regardless of how they are packaged. This License gives no
|
|
||||||
permission to license the work in any other way, but it does not
|
|
||||||
invalidate such permission if you have separately received it.
|
|
||||||
|
|
||||||
d) If the work has interactive user interfaces, each must display
|
|
||||||
Appropriate Legal Notices; however, if the Program has interactive
|
|
||||||
interfaces that do not display Appropriate Legal Notices, your
|
|
||||||
work need not make them do so.
|
|
||||||
|
|
||||||
A compilation of a covered work with other separate and independent
|
|
||||||
works, which are not by their nature extensions of the covered work,
|
|
||||||
and which are not combined with it such as to form a larger program,
|
|
||||||
in or on a volume of a storage or distribution medium, is called an
|
|
||||||
"aggregate" if the compilation and its resulting copyright are not
|
|
||||||
used to limit the access or legal rights of the compilation's users
|
|
||||||
beyond what the individual works permit. Inclusion of a covered work
|
|
||||||
in an aggregate does not cause this License to apply to the other
|
|
||||||
parts of the aggregate.
|
|
||||||
|
|
||||||
6. Conveying Non-Source Forms.
|
|
||||||
|
|
||||||
You may convey a covered work in object code form under the terms
|
|
||||||
of sections 4 and 5, provided that you also convey the
|
|
||||||
machine-readable Corresponding Source under the terms of this License,
|
|
||||||
in one of these ways:
|
|
||||||
|
|
||||||
a) Convey the object code in, or embodied in, a physical product
|
|
||||||
(including a physical distribution medium), accompanied by the
|
|
||||||
Corresponding Source fixed on a durable physical medium
|
|
||||||
customarily used for software interchange.
|
|
||||||
|
|
||||||
b) Convey the object code in, or embodied in, a physical product
|
|
||||||
(including a physical distribution medium), accompanied by a
|
|
||||||
written offer, valid for at least three years and valid for as
|
|
||||||
long as you offer spare parts or customer support for that product
|
|
||||||
model, to give anyone who possesses the object code either (1) a
|
|
||||||
copy of the Corresponding Source for all the software in the
|
|
||||||
product that is covered by this License, on a durable physical
|
|
||||||
medium customarily used for software interchange, for a price no
|
|
||||||
more than your reasonable cost of physically performing this
|
|
||||||
conveying of source, or (2) access to copy the
|
|
||||||
Corresponding Source from a network server at no charge.
|
|
||||||
|
|
||||||
c) Convey individual copies of the object code with a copy of the
|
|
||||||
written offer to provide the Corresponding Source. This
|
|
||||||
alternative is allowed only occasionally and noncommercially, and
|
|
||||||
only if you received the object code with such an offer, in accord
|
|
||||||
with subsection 6b.
|
|
||||||
|
|
||||||
d) Convey the object code by offering access from a designated
|
|
||||||
place (gratis or for a charge), and offer equivalent access to the
|
|
||||||
Corresponding Source in the same way through the same place at no
|
|
||||||
further charge. You need not require recipients to copy the
|
|
||||||
Corresponding Source along with the object code. If the place to
|
|
||||||
copy the object code is a network server, the Corresponding Source
|
|
||||||
may be on a different server (operated by you or a third party)
|
|
||||||
that supports equivalent copying facilities, provided you maintain
|
|
||||||
clear directions next to the object code saying where to find the
|
|
||||||
Corresponding Source. Regardless of what server hosts the
|
|
||||||
Corresponding Source, you remain obligated to ensure that it is
|
|
||||||
available for as long as needed to satisfy these requirements.
|
|
||||||
|
|
||||||
e) Convey the object code using peer-to-peer transmission, provided
|
|
||||||
you inform other peers where the object code and Corresponding
|
|
||||||
Source of the work are being offered to the general public at no
|
|
||||||
charge under subsection 6d.
|
|
||||||
|
|
||||||
A separable portion of the object code, whose source code is excluded
|
|
||||||
from the Corresponding Source as a System Library, need not be
|
|
||||||
included in conveying the object code work.
|
|
||||||
|
|
||||||
A "User Product" is either (1) a "consumer product", which means any
|
|
||||||
tangible personal property which is normally used for personal, family,
|
|
||||||
or household purposes, or (2) anything designed or sold for incorporation
|
|
||||||
into a dwelling. In determining whether a product is a consumer product,
|
|
||||||
doubtful cases shall be resolved in favor of coverage. For a particular
|
|
||||||
product received by a particular user, "normally used" refers to a
|
|
||||||
typical or common use of that class of product, regardless of the status
|
|
||||||
of the particular user or of the way in which the particular user
|
|
||||||
actually uses, or expects or is expected to use, the product. A product
|
|
||||||
is a consumer product regardless of whether the product has substantial
|
|
||||||
commercial, industrial or non-consumer uses, unless such uses represent
|
|
||||||
the only significant mode of use of the product.
|
|
||||||
|
|
||||||
"Installation Information" for a User Product means any methods,
|
|
||||||
procedures, authorization keys, or other information required to install
|
|
||||||
and execute modified versions of a covered work in that User Product from
|
|
||||||
a modified version of its Corresponding Source. The information must
|
|
||||||
suffice to ensure that the continued functioning of the modified object
|
|
||||||
code is in no case prevented or interfered with solely because
|
|
||||||
modification has been made.
|
|
||||||
|
|
||||||
If you convey an object code work under this section in, or with, or
|
|
||||||
specifically for use in, a User Product, and the conveying occurs as
|
|
||||||
part of a transaction in which the right of possession and use of the
|
|
||||||
User Product is transferred to the recipient in perpetuity or for a
|
|
||||||
fixed term (regardless of how the transaction is characterized), the
|
|
||||||
Corresponding Source conveyed under this section must be accompanied
|
|
||||||
by the Installation Information. But this requirement does not apply
|
|
||||||
if neither you nor any third party retains the ability to install
|
|
||||||
modified object code on the User Product (for example, the work has
|
|
||||||
been installed in ROM).
|
|
||||||
|
|
||||||
The requirement to provide Installation Information does not include a
|
|
||||||
requirement to continue to provide support service, warranty, or updates
|
|
||||||
for a work that has been modified or installed by the recipient, or for
|
|
||||||
the User Product in which it has been modified or installed. Access to a
|
|
||||||
network may be denied when the modification itself materially and
|
|
||||||
adversely affects the operation of the network or violates the rules and
|
|
||||||
protocols for communication across the network.
|
|
||||||
|
|
||||||
Corresponding Source conveyed, and Installation Information provided,
|
|
||||||
in accord with this section must be in a format that is publicly
|
|
||||||
documented (and with an implementation available to the public in
|
|
||||||
source code form), and must require no special password or key for
|
|
||||||
unpacking, reading or copying.
|
|
||||||
|
|
||||||
7. Additional Terms.
|
|
||||||
|
|
||||||
"Additional permissions" are terms that supplement the terms of this
|
|
||||||
License by making exceptions from one or more of its conditions.
|
|
||||||
Additional permissions that are applicable to the entire Program shall
|
|
||||||
be treated as though they were included in this License, to the extent
|
|
||||||
that they are valid under applicable law. If additional permissions
|
|
||||||
apply only to part of the Program, that part may be used separately
|
|
||||||
under those permissions, but the entire Program remains governed by
|
|
||||||
this License without regard to the additional permissions.
|
|
||||||
|
|
||||||
When you convey a copy of a covered work, you may at your option
|
|
||||||
remove any additional permissions from that copy, or from any part of
|
|
||||||
it. (Additional permissions may be written to require their own
|
|
||||||
removal in certain cases when you modify the work.) You may place
|
|
||||||
additional permissions on material, added by you to a covered work,
|
|
||||||
for which you have or can give appropriate copyright permission.
|
|
||||||
|
|
||||||
Notwithstanding any other provision of this License, for material you
|
|
||||||
add to a covered work, you may (if authorized by the copyright holders of
|
|
||||||
that material) supplement the terms of this License with terms:
|
|
||||||
|
|
||||||
a) Disclaiming warranty or limiting liability differently from the
|
|
||||||
terms of sections 15 and 16 of this License; or
|
|
||||||
|
|
||||||
b) Requiring preservation of specified reasonable legal notices or
|
|
||||||
author attributions in that material or in the Appropriate Legal
|
|
||||||
Notices displayed by works containing it; or
|
|
||||||
|
|
||||||
c) Prohibiting misrepresentation of the origin of that material, or
|
|
||||||
requiring that modified versions of such material be marked in
|
|
||||||
reasonable ways as different from the original version; or
|
|
||||||
|
|
||||||
d) Limiting the use for publicity purposes of names of licensors or
|
|
||||||
authors of the material; or
|
|
||||||
|
|
||||||
e) Declining to grant rights under trademark law for use of some
|
|
||||||
trade names, trademarks, or service marks; or
|
|
||||||
|
|
||||||
f) Requiring indemnification of licensors and authors of that
|
|
||||||
material by anyone who conveys the material (or modified versions of
|
|
||||||
it) with contractual assumptions of liability to the recipient, for
|
|
||||||
any liability that these contractual assumptions directly impose on
|
|
||||||
those licensors and authors.
|
|
||||||
|
|
||||||
All other non-permissive additional terms are considered "further
|
|
||||||
restrictions" within the meaning of section 10. If the Program as you
|
|
||||||
received it, or any part of it, contains a notice stating that it is
|
|
||||||
governed by this License along with a term that is a further
|
|
||||||
restriction, you may remove that term. If a license document contains
|
|
||||||
a further restriction but permits relicensing or conveying under this
|
|
||||||
License, you may add to a covered work material governed by the terms
|
|
||||||
of that license document, provided that the further restriction does
|
|
||||||
not survive such relicensing or conveying.
|
|
||||||
|
|
||||||
If you add terms to a covered work in accord with this section, you
|
|
||||||
must place, in the relevant source files, a statement of the
|
|
||||||
additional terms that apply to those files, or a notice indicating
|
|
||||||
where to find the applicable terms.
|
|
||||||
|
|
||||||
Additional terms, permissive or non-permissive, may be stated in the
|
|
||||||
form of a separately written license, or stated as exceptions;
|
|
||||||
the above requirements apply either way.
|
|
||||||
|
|
||||||
8. Termination.
|
|
||||||
|
|
||||||
You may not propagate or modify a covered work except as expressly
|
|
||||||
provided under this License. Any attempt otherwise to propagate or
|
|
||||||
modify it is void, and will automatically terminate your rights under
|
|
||||||
this License (including any patent licenses granted under the third
|
|
||||||
paragraph of section 11).
|
|
||||||
|
|
||||||
However, if you cease all violation of this License, then your
|
|
||||||
license from a particular copyright holder is reinstated (a)
|
|
||||||
provisionally, unless and until the copyright holder explicitly and
|
|
||||||
finally terminates your license, and (b) permanently, if the copyright
|
|
||||||
holder fails to notify you of the violation by some reasonable means
|
|
||||||
prior to 60 days after the cessation.
|
|
||||||
|
|
||||||
Moreover, your license from a particular copyright holder is
|
|
||||||
reinstated permanently if the copyright holder notifies you of the
|
|
||||||
violation by some reasonable means, this is the first time you have
|
|
||||||
received notice of violation of this License (for any work) from that
|
|
||||||
copyright holder, and you cure the violation prior to 30 days after
|
|
||||||
your receipt of the notice.
|
|
||||||
|
|
||||||
Termination of your rights under this section does not terminate the
|
|
||||||
licenses of parties who have received copies or rights from you under
|
|
||||||
this License. If your rights have been terminated and not permanently
|
|
||||||
reinstated, you do not qualify to receive new licenses for the same
|
|
||||||
material under section 10.
|
|
||||||
|
|
||||||
9. Acceptance Not Required for Having Copies.
|
|
||||||
|
|
||||||
You are not required to accept this License in order to receive or
|
|
||||||
run a copy of the Program. Ancillary propagation of a covered work
|
|
||||||
occurring solely as a consequence of using peer-to-peer transmission
|
|
||||||
to receive a copy likewise does not require acceptance. However,
|
|
||||||
nothing other than this License grants you permission to propagate or
|
|
||||||
modify any covered work. These actions infringe copyright if you do
|
|
||||||
not accept this License. Therefore, by modifying or propagating a
|
|
||||||
covered work, you indicate your acceptance of this License to do so.
|
|
||||||
|
|
||||||
10. Automatic Licensing of Downstream Recipients.
|
|
||||||
|
|
||||||
Each time you convey a covered work, the recipient automatically
|
|
||||||
receives a license from the original licensors, to run, modify and
|
|
||||||
propagate that work, subject to this License. You are not responsible
|
|
||||||
for enforcing compliance by third parties with this License.
|
|
||||||
|
|
||||||
An "entity transaction" is a transaction transferring control of an
|
|
||||||
organization, or substantially all assets of one, or subdividing an
|
|
||||||
organization, or merging organizations. If propagation of a covered
|
|
||||||
work results from an entity transaction, each party to that
|
|
||||||
transaction who receives a copy of the work also receives whatever
|
|
||||||
licenses to the work the party's predecessor in interest had or could
|
|
||||||
give under the previous paragraph, plus a right to possession of the
|
|
||||||
Corresponding Source of the work from the predecessor in interest, if
|
|
||||||
the predecessor has it or can get it with reasonable efforts.
|
|
||||||
|
|
||||||
You may not impose any further restrictions on the exercise of the
|
|
||||||
rights granted or affirmed under this License. For example, you may
|
|
||||||
not impose a license fee, royalty, or other charge for exercise of
|
|
||||||
rights granted under this License, and you may not initiate litigation
|
|
||||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
|
||||||
any patent claim is infringed by making, using, selling, offering for
|
|
||||||
sale, or importing the Program or any portion of it.
|
|
||||||
|
|
||||||
11. Patents.
|
|
||||||
|
|
||||||
A "contributor" is a copyright holder who authorizes use under this
|
|
||||||
License of the Program or a work on which the Program is based. The
|
|
||||||
work thus licensed is called the contributor's "contributor version".
|
|
||||||
|
|
||||||
A contributor's "essential patent claims" are all patent claims
|
|
||||||
owned or controlled by the contributor, whether already acquired or
|
|
||||||
hereafter acquired, that would be infringed by some manner, permitted
|
|
||||||
by this License, of making, using, or selling its contributor version,
|
|
||||||
but do not include claims that would be infringed only as a
|
|
||||||
consequence of further modification of the contributor version. For
|
|
||||||
purposes of this definition, "control" includes the right to grant
|
|
||||||
patent sublicenses in a manner consistent with the requirements of
|
|
||||||
this License.
|
|
||||||
|
|
||||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
|
||||||
patent license under the contributor's essential patent claims, to
|
|
||||||
make, use, sell, offer for sale, import and otherwise run, modify and
|
|
||||||
propagate the contents of its contributor version.
|
|
||||||
|
|
||||||
In the following three paragraphs, a "patent license" is any express
|
|
||||||
agreement or commitment, however denominated, not to enforce a patent
|
|
||||||
(such as an express permission to practice a patent or covenant not to
|
|
||||||
sue for patent infringement). To "grant" such a patent license to a
|
|
||||||
party means to make such an agreement or commitment not to enforce a
|
|
||||||
patent against the party.
|
|
||||||
|
|
||||||
If you convey a covered work, knowingly relying on a patent license,
|
|
||||||
and the Corresponding Source of the work is not available for anyone
|
|
||||||
to copy, free of charge and under the terms of this License, through a
|
|
||||||
publicly available network server or other readily accessible means,
|
|
||||||
then you must either (1) cause the Corresponding Source to be so
|
|
||||||
available, or (2) arrange to deprive yourself of the benefit of the
|
|
||||||
patent license for this particular work, or (3) arrange, in a manner
|
|
||||||
consistent with the requirements of this License, to extend the patent
|
|
||||||
license to downstream recipients. "Knowingly relying" means you have
|
|
||||||
actual knowledge that, but for the patent license, your conveying the
|
|
||||||
covered work in a country, or your recipient's use of the covered work
|
|
||||||
in a country, would infringe one or more identifiable patents in that
|
|
||||||
country that you have reason to believe are valid.
|
|
||||||
|
|
||||||
If, pursuant to or in connection with a single transaction or
|
|
||||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
|
||||||
covered work, and grant a patent license to some of the parties
|
|
||||||
receiving the covered work authorizing them to use, propagate, modify
|
|
||||||
or convey a specific copy of the covered work, then the patent license
|
|
||||||
you grant is automatically extended to all recipients of the covered
|
|
||||||
work and works based on it.
|
|
||||||
|
|
||||||
A patent license is "discriminatory" if it does not include within
|
|
||||||
the scope of its coverage, prohibits the exercise of, or is
|
|
||||||
conditioned on the non-exercise of one or more of the rights that are
|
|
||||||
specifically granted under this License. You may not convey a covered
|
|
||||||
work if you are a party to an arrangement with a third party that is
|
|
||||||
in the business of distributing software, under which you make payment
|
|
||||||
to the third party based on the extent of your activity of conveying
|
|
||||||
the work, and under which the third party grants, to any of the
|
|
||||||
parties who would receive the covered work from you, a discriminatory
|
|
||||||
patent license (a) in connection with copies of the covered work
|
|
||||||
conveyed by you (or copies made from those copies), or (b) primarily
|
|
||||||
for and in connection with specific products or compilations that
|
|
||||||
contain the covered work, unless you entered into that arrangement,
|
|
||||||
or that patent license was granted, prior to 28 March 2007.
|
|
||||||
|
|
||||||
Nothing in this License shall be construed as excluding or limiting
|
|
||||||
any implied license or other defenses to infringement that may
|
|
||||||
otherwise be available to you under applicable patent law.
|
|
||||||
|
|
||||||
12. No Surrender of Others' Freedom.
|
|
||||||
|
|
||||||
If conditions are imposed on you (whether by court order, agreement or
|
|
||||||
otherwise) that contradict the conditions of this License, they do not
|
|
||||||
excuse you from the conditions of this License. If you cannot convey a
|
|
||||||
covered work so as to satisfy simultaneously your obligations under this
|
|
||||||
License and any other pertinent obligations, then as a consequence you may
|
|
||||||
not convey it at all. For example, if you agree to terms that obligate you
|
|
||||||
to collect a royalty for further conveying from those to whom you convey
|
|
||||||
the Program, the only way you could satisfy both those terms and this
|
|
||||||
License would be to refrain entirely from conveying the Program.
|
|
||||||
|
|
||||||
13. Use with the GNU Affero General Public License.
|
|
||||||
|
|
||||||
Notwithstanding any other provision of this License, you have
|
|
||||||
permission to link or combine any covered work with a work licensed
|
|
||||||
under version 3 of the GNU Affero General Public License into a single
|
|
||||||
combined work, and to convey the resulting work. The terms of this
|
|
||||||
License will continue to apply to the part which is the covered work,
|
|
||||||
but the special requirements of the GNU Affero General Public License,
|
|
||||||
section 13, concerning interaction through a network will apply to the
|
|
||||||
combination as such.
|
|
||||||
|
|
||||||
14. Revised Versions of this License.
|
|
||||||
|
|
||||||
The Free Software Foundation may publish revised and/or new versions of
|
|
||||||
the GNU General Public License from time to time. Such new versions will
|
|
||||||
be similar in spirit to the present version, but may differ in detail to
|
|
||||||
address new problems or concerns.
|
|
||||||
|
|
||||||
Each version is given a distinguishing version number. If the
|
|
||||||
Program specifies that a certain numbered version of the GNU General
|
|
||||||
Public License "or any later version" applies to it, you have the
|
|
||||||
option of following the terms and conditions either of that numbered
|
|
||||||
version or of any later version published by the Free Software
|
|
||||||
Foundation. If the Program does not specify a version number of the
|
|
||||||
GNU General Public License, you may choose any version ever published
|
|
||||||
by the Free Software Foundation.
|
|
||||||
|
|
||||||
If the Program specifies that a proxy can decide which future
|
|
||||||
versions of the GNU General Public License can be used, that proxy's
|
|
||||||
public statement of acceptance of a version permanently authorizes you
|
|
||||||
to choose that version for the Program.
|
|
||||||
|
|
||||||
Later license versions may give you additional or different
|
|
||||||
permissions. However, no additional obligations are imposed on any
|
|
||||||
author or copyright holder as a result of your choosing to follow a
|
|
||||||
later version.
|
|
||||||
|
|
||||||
15. Disclaimer of Warranty.
|
|
||||||
|
|
||||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
|
||||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
|
||||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
|
||||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
|
||||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
||||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
|
|
||||||
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
|
|
||||||
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
|
||||||
|
|
||||||
16. Limitation of Liability.
|
|
||||||
|
|
||||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
|
||||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
|
|
||||||
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
|
|
||||||
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
|
|
||||||
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
|
|
||||||
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
|
|
||||||
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
|
|
||||||
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
|
|
||||||
SUCH DAMAGES.
|
|
||||||
|
|
||||||
17. Interpretation of Sections 15 and 16.
|
|
||||||
|
|
||||||
If the disclaimer of warranty and limitation of liability provided
|
|
||||||
above cannot be given local legal effect according to their terms,
|
|
||||||
reviewing courts shall apply local law that most closely approximates
|
|
||||||
an absolute waiver of all civil liability in connection with the
|
|
||||||
Program, unless a warranty or assumption of liability accompanies a
|
|
||||||
copy of the Program in return for a fee.
|
|
||||||
|
|
||||||
END OF TERMS AND CONDITIONS
|
|
||||||
|
|
||||||
How to Apply These Terms to Your New Programs
|
|
||||||
|
|
||||||
If you develop a new program, and you want it to be of the greatest
|
|
||||||
possible use to the public, the best way to achieve this is to make it
|
|
||||||
free software which everyone can redistribute and change under these terms.
|
|
||||||
|
|
||||||
To do so, attach the following notices to the program. It is safest
|
|
||||||
to attach them to the start of each source file to most effectively
|
|
||||||
state the exclusion of warranty; and each file should have at least
|
|
||||||
the "copyright" line and a pointer to where the full notice is found.
|
|
||||||
|
|
||||||
<one line to give the program's name and a brief idea of what it does.>
|
|
||||||
Copyright (C) <year> <name of author>
|
|
||||||
|
|
||||||
This program is free software: you can redistribute it and/or modify
|
|
||||||
it under the terms of the GNU General Public License as published by
|
|
||||||
the Free Software Foundation, either version 3 of the License, or
|
|
||||||
(at your option) any later version.
|
|
||||||
|
|
||||||
This program is distributed in the hope that it will be useful,
|
|
||||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
||||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
||||||
GNU General Public License for more details.
|
|
||||||
|
|
||||||
You should have received a copy of the GNU General Public License
|
|
||||||
along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
||||||
|
|
||||||
Also add information on how to contact you by electronic and paper mail.
|
|
||||||
|
|
||||||
If the program does terminal interaction, make it output a short
|
|
||||||
notice like this when it starts in an interactive mode:
|
|
||||||
|
|
||||||
<program> Copyright (C) <year> <name of author>
|
|
||||||
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
|
|
||||||
This is free software, and you are welcome to redistribute it
|
|
||||||
under certain conditions; type `show c' for details.
|
|
||||||
|
|
||||||
The hypothetical commands `show w' and `show c' should show the appropriate
|
|
||||||
parts of the General Public License. Of course, your program's commands
|
|
||||||
might be different; for a GUI interface, you would use an "about box".
|
|
||||||
|
|
||||||
You should also get your employer (if you work as a programmer) or school,
|
|
||||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
|
||||||
For more information on this, and how to apply and follow the GNU GPL, see
|
|
||||||
<http://www.gnu.org/licenses/>.
|
|
||||||
|
|
||||||
The GNU General Public License does not permit incorporating your program
|
|
||||||
into proprietary programs. If your program is a subroutine library, you
|
|
||||||
may consider it more useful to permit linking proprietary applications with
|
|
||||||
the library. If this is what you want to do, use the GNU Lesser General
|
|
||||||
Public License instead of this License. But first, please read
|
|
||||||
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
|
|
||||||
189
README.md
189
README.md
|
|
@ -1,189 +0,0 @@
|
||||||
# U-Net: Semantic segmentation with PyTorch
|
|
||||||
<a href="#"><img src="https://img.shields.io/github/workflow/status/milesial/PyTorch-UNet/Publish%20Docker%20image?logo=github&style=for-the-badge" /></a>
|
|
||||||
<a href="https://hub.docker.com/r/milesial/unet"><img src="https://img.shields.io/badge/docker%20image-available-blue?logo=Docker&style=for-the-badge" /></a>
|
|
||||||
<a href="https://pytorch.org/"><img src="https://img.shields.io/badge/PyTorch-v1.9.0-red.svg?logo=PyTorch&style=for-the-badge" /></a>
|
|
||||||
<a href="#"><img src="https://img.shields.io/badge/python-v3.6+-blue.svg?logo=python&style=for-the-badge" /></a>
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
Customized implementation of the [U-Net](https://arxiv.org/abs/1505.04597) in PyTorch for Kaggle's [Carvana Image Masking Challenge](https://www.kaggle.com/c/carvana-image-masking-challenge) from high definition images.
|
|
||||||
|
|
||||||
- [Quick start](#quick-start)
|
|
||||||
- [Without Docker](#without-docker)
|
|
||||||
- [With Docker](#with-docker)
|
|
||||||
- [Description](#description)
|
|
||||||
- [Usage](#usage)
|
|
||||||
- [Docker](#docker)
|
|
||||||
- [Training](#training)
|
|
||||||
- [Prediction](#prediction)
|
|
||||||
- [Weights & Biases](#weights--biases)
|
|
||||||
- [Pretrained model](#pretrained-model)
|
|
||||||
- [Data](#data)
|
|
||||||
|
|
||||||
## Quick start
|
|
||||||
|
|
||||||
### Without Docker
|
|
||||||
|
|
||||||
1. [Install CUDA](https://developer.nvidia.com/cuda-downloads)
|
|
||||||
|
|
||||||
2. [Install PyTorch](https://pytorch.org/get-started/locally/)
|
|
||||||
|
|
||||||
3. Install dependencies
|
|
||||||
```bash
|
|
||||||
pip install -r requirements.txt
|
|
||||||
```
|
|
||||||
|
|
||||||
4. Download the data and run training:
|
|
||||||
```bash
|
|
||||||
bash scripts/download_data.sh
|
|
||||||
python train.py --amp
|
|
||||||
```
|
|
||||||
|
|
||||||
### With Docker
|
|
||||||
|
|
||||||
1. [Install Docker 19.03 or later:](https://docs.docker.com/get-docker/)
|
|
||||||
```bash
|
|
||||||
curl https://get.docker.com | sh && sudo systemctl --now enable docker
|
|
||||||
```
|
|
||||||
2. [Install the NVIDIA container toolkit:](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
|
|
||||||
```bash
|
|
||||||
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
|
|
||||||
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
|
|
||||||
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
|
|
||||||
sudo apt-get update
|
|
||||||
sudo apt-get install -y nvidia-docker2
|
|
||||||
sudo systemctl restart docker
|
|
||||||
```
|
|
||||||
3. [Download and run the image:](https://hub.docker.com/repository/docker/milesial/unet)
|
|
||||||
```bash
|
|
||||||
sudo docker run --rm --shm-size=8g --ulimit memlock=-1 --gpus all -it milesial/unet
|
|
||||||
```
|
|
||||||
|
|
||||||
4. Download the data and run training:
|
|
||||||
```bash
|
|
||||||
bash scripts/download_data.sh
|
|
||||||
python train.py --amp
|
|
||||||
```
|
|
||||||
|
|
||||||
## Description
|
|
||||||
This model was trained from scratch with 5k images and scored a [Dice coefficient](https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient) of 0.988423 on over 100k test images.
|
|
||||||
|
|
||||||
It can be easily used for multiclass segmentation, portrait segmentation, medical segmentation, ...
|
|
||||||
|
|
||||||
|
|
||||||
## Usage
|
|
||||||
**Note : Use Python 3.6 or newer**
|
|
||||||
|
|
||||||
### Docker
|
|
||||||
|
|
||||||
A docker image containing the code and the dependencies is available on [DockerHub](https://hub.docker.com/repository/docker/milesial/unet).
|
|
||||||
You can download and jump in the container with ([docker >=19.03](https://docs.docker.com/get-docker/)):
|
|
||||||
|
|
||||||
```console
|
|
||||||
docker run -it --rm --shm-size=8g --ulimit memlock=-1 --gpus all milesial/unet
|
|
||||||
```
|
|
||||||
|
|
||||||
|
|
||||||
### Training
|
|
||||||
|
|
||||||
```console
|
|
||||||
> python train.py -h
|
|
||||||
usage: train.py [-h] [--epochs E] [--batch-size B] [--learning-rate LR]
|
|
||||||
[--load LOAD] [--scale SCALE] [--validation VAL] [--amp]
|
|
||||||
|
|
||||||
Train the UNet on images and target masks
|
|
||||||
|
|
||||||
optional arguments:
|
|
||||||
-h, --help show this help message and exit
|
|
||||||
--epochs E, -e E Number of epochs
|
|
||||||
--batch-size B, -b B Batch size
|
|
||||||
--learning-rate LR, -l LR
|
|
||||||
Learning rate
|
|
||||||
--load LOAD, -f LOAD Load model from a .pth file
|
|
||||||
--scale SCALE, -s SCALE
|
|
||||||
Downscaling factor of the images
|
|
||||||
--validation VAL, -v VAL
|
|
||||||
Percent of the data that is used as validation (0-100)
|
|
||||||
--amp Use mixed precision
|
|
||||||
```
|
|
||||||
|
|
||||||
By default, the `scale` is 0.5, so if you wish to obtain better results (but use more memory), set it to 1.
|
|
||||||
|
|
||||||
Automatic mixed precision is also available with the `--amp` flag. [Mixed precision](https://arxiv.org/abs/1710.03740) allows the model to use less memory and to be faster on recent GPUs by using FP16 arithmetic. Enabling AMP is recommended.
|
|
||||||
|
|
||||||
|
|
||||||
### Prediction
|
|
||||||
|
|
||||||
After training your model and saving it to `MODEL.pth`, you can easily test the output masks on your images via the CLI.
|
|
||||||
|
|
||||||
To predict a single image and save it:
|
|
||||||
|
|
||||||
`python predict.py -i image.jpg -o output.jpg`
|
|
||||||
|
|
||||||
To predict a multiple images and show them without saving them:
|
|
||||||
|
|
||||||
`python predict.py -i image1.jpg image2.jpg --viz --no-save`
|
|
||||||
|
|
||||||
```console
|
|
||||||
> python predict.py -h
|
|
||||||
usage: predict.py [-h] [--model FILE] --input INPUT [INPUT ...]
|
|
||||||
[--output INPUT [INPUT ...]] [--viz] [--no-save]
|
|
||||||
[--mask-threshold MASK_THRESHOLD] [--scale SCALE]
|
|
||||||
|
|
||||||
Predict masks from input images
|
|
||||||
|
|
||||||
optional arguments:
|
|
||||||
-h, --help show this help message and exit
|
|
||||||
--model FILE, -m FILE
|
|
||||||
Specify the file in which the model is stored
|
|
||||||
--input INPUT [INPUT ...], -i INPUT [INPUT ...]
|
|
||||||
Filenames of input images
|
|
||||||
--output INPUT [INPUT ...], -o INPUT [INPUT ...]
|
|
||||||
Filenames of output images
|
|
||||||
--viz, -v Visualize the images as they are processed
|
|
||||||
--no-save, -n Do not save the output masks
|
|
||||||
--mask-threshold MASK_THRESHOLD, -t MASK_THRESHOLD
|
|
||||||
Minimum probability value to consider a mask pixel white
|
|
||||||
--scale SCALE, -s SCALE
|
|
||||||
Scale factor for the input images
|
|
||||||
```
|
|
||||||
You can specify which model file to use with `--model MODEL.pth`.
|
|
||||||
|
|
||||||
## Weights & Biases
|
|
||||||
|
|
||||||
The training progress can be visualized in real-time using [Weights & Biases](https://wandb.ai/). Loss curves, validation curves, weights and gradient histograms, as well as predicted masks are logged to the platform.
|
|
||||||
|
|
||||||
When launching a training, a link will be printed in the console. Click on it to go to your dashboard. If you have an existing W&B account, you can link it
|
|
||||||
by setting the `WANDB_API_KEY` environment variable. If not, it will create an anonymous run which is automatically deleted after 7 days.
|
|
||||||
|
|
||||||
|
|
||||||
## Pretrained model
|
|
||||||
A [pretrained model](https://github.com/milesial/Pytorch-UNet/releases/tag/v3.0) is available for the Carvana dataset. It can also be loaded from torch.hub:
|
|
||||||
|
|
||||||
```python
|
|
||||||
net = torch.hub.load('milesial/Pytorch-UNet', 'unet_carvana', pretrained=True, scale=0.5)
|
|
||||||
```
|
|
||||||
Available scales are 0.5 and 1.0.
|
|
||||||
|
|
||||||
## Data
|
|
||||||
The Carvana data is available on the [Kaggle website](https://www.kaggle.com/c/carvana-image-masking-challenge/data).
|
|
||||||
|
|
||||||
You can also download it using the helper script:
|
|
||||||
|
|
||||||
```
|
|
||||||
bash scripts/download_data.sh
|
|
||||||
```
|
|
||||||
|
|
||||||
The input images and target masks should be in the `data/imgs` and `data/masks` folders respectively (note that the `imgs` and `masks` folder should not contain any sub-folder or any other files, due to the greedy data-loader). For Carvana, images are RGB and masks are black and white.
|
|
||||||
|
|
||||||
You can use your own dataset as long as you make sure it is loaded properly in `utils/data_loading.py`.
|
|
||||||
|
|
||||||
|
|
||||||
---
|
|
||||||
|
|
||||||
Original paper by Olaf Ronneberger, Philipp Fischer, Thomas Brox:
|
|
||||||
|
|
||||||
[U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)
|
|
||||||
|
|
||||||
|
|
||||||
21
hubconf.py
21
hubconf.py
|
|
@ -1,21 +0,0 @@
|
||||||
import torch
|
|
||||||
from unet import UNet as _UNet
|
|
||||||
|
|
||||||
def unet_carvana(pretrained=False, scale=0.5):
|
|
||||||
"""
|
|
||||||
UNet model trained on the Carvana dataset ( https://www.kaggle.com/c/carvana-image-masking-challenge/data ).
|
|
||||||
Set the scale to 0.5 (50%) when predicting.
|
|
||||||
"""
|
|
||||||
net = _UNet(n_channels=3, n_classes=2, bilinear=False)
|
|
||||||
if pretrained:
|
|
||||||
if scale == 0.5:
|
|
||||||
checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v3.0/unet_carvana_scale0.5_epoch2.pth'
|
|
||||||
elif scale == 1.0:
|
|
||||||
checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v3.0/unet_carvana_scale1.0_epoch2.pth'
|
|
||||||
else:
|
|
||||||
raise RuntimeError('Only 0.5 and 1.0 scales are available')
|
|
||||||
|
|
||||||
net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True))
|
|
||||||
|
|
||||||
return net
|
|
||||||
|
|
||||||
992
poetry.lock
generated
Normal file
992
poetry.lock
generated
Normal file
|
|
@ -0,0 +1,992 @@
|
||||||
|
[[package]]
|
||||||
|
name = "albumentations"
|
||||||
|
version = "1.2.0"
|
||||||
|
description = "Fast image augmentation library and easy to use wrapper around other libraries"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = ">=1.11.1"
|
||||||
|
opencv-python-headless = ">=4.1.1"
|
||||||
|
PyYAML = "*"
|
||||||
|
qudida = ">=0.0.4"
|
||||||
|
scikit-image = ">=0.16.1,<0.19"
|
||||||
|
scipy = "*"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
develop = ["pytest", "imgaug (>=0.4.0)"]
|
||||||
|
imgaug = ["imgaug (>=0.4.0)"]
|
||||||
|
tests = ["pytest"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "black"
|
||||||
|
version = "22.3.0"
|
||||||
|
description = "The uncompromising code formatter."
|
||||||
|
category = "dev"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6.2"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
click = ">=8.0.0"
|
||||||
|
mypy-extensions = ">=0.4.3"
|
||||||
|
pathspec = ">=0.9.0"
|
||||||
|
platformdirs = ">=2"
|
||||||
|
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
|
||||||
|
typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
colorama = ["colorama (>=0.4.3)"]
|
||||||
|
d = ["aiohttp (>=3.7.4)"]
|
||||||
|
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
|
||||||
|
uvloop = ["uvloop (>=0.15.2)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "certifi"
|
||||||
|
version = "2022.6.15"
|
||||||
|
description = "Python package for providing Mozilla's CA Bundle."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "charset-normalizer"
|
||||||
|
version = "2.0.12"
|
||||||
|
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.5.0"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
unicode_backport = ["unicodedata2"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "click"
|
||||||
|
version = "8.1.3"
|
||||||
|
description = "Composable command line interface toolkit"
|
||||||
|
category = "dev"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "colorama"
|
||||||
|
version = "0.4.5"
|
||||||
|
description = "Cross-platform colored terminal text."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "cycler"
|
||||||
|
version = "0.11.0"
|
||||||
|
description = "Composable style cycles"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "fonttools"
|
||||||
|
version = "4.33.3"
|
||||||
|
description = "Tools to manipulate font files"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
|
||||||
|
graphite = ["lz4 (>=1.7.4.2)"]
|
||||||
|
interpolatable = ["scipy", "munkres"]
|
||||||
|
lxml = ["lxml (>=4.0,<5)"]
|
||||||
|
pathops = ["skia-pathops (>=0.5.0)"]
|
||||||
|
plot = ["matplotlib"]
|
||||||
|
repacker = ["uharfbuzz (>=0.23.0)"]
|
||||||
|
symfont = ["sympy"]
|
||||||
|
type1 = ["xattr"]
|
||||||
|
ufo = ["fs (>=2.2.0,<3)"]
|
||||||
|
unicode = ["unicodedata2 (>=14.0.0)"]
|
||||||
|
woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "idna"
|
||||||
|
version = "3.3"
|
||||||
|
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.5"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "imageio"
|
||||||
|
version = "2.19.3"
|
||||||
|
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = "*"
|
||||||
|
pillow = ">=8.3.2"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
all-plugins = ["astropy", "av", "imageio-ffmpeg", "opencv-python", "psutil", "tifffile"]
|
||||||
|
all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
|
||||||
|
build = ["wheel"]
|
||||||
|
dev = ["invoke", "pytest", "pytest-cov", "fsspec", "black", "flake8"]
|
||||||
|
docs = ["sphinx", "numpydoc", "pydata-sphinx-theme"]
|
||||||
|
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
||||||
|
fits = ["astropy"]
|
||||||
|
full = ["astropy", "av", "black", "flake8", "fsspec", "gdal", "imageio-ffmpeg", "invoke", "itk", "numpydoc", "opencv-python", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx", "tifffile", "wheel"]
|
||||||
|
gdal = ["gdal"]
|
||||||
|
itk = ["itk"]
|
||||||
|
linting = ["black", "flake8"]
|
||||||
|
opencv = ["opencv-python"]
|
||||||
|
pyav = ["av"]
|
||||||
|
test = ["invoke", "pytest", "pytest-cov", "fsspec"]
|
||||||
|
tifffile = ["tifffile"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "joblib"
|
||||||
|
version = "1.1.0"
|
||||||
|
description = "Lightweight pipelining with Python functions"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "kiwisolver"
|
||||||
|
version = "1.4.3"
|
||||||
|
description = "A fast implementation of the Cassowary constraint solver"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "matplotlib"
|
||||||
|
version = "3.5.2"
|
||||||
|
description = "Python plotting package"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
cycler = ">=0.10"
|
||||||
|
fonttools = ">=4.22.0"
|
||||||
|
kiwisolver = ">=1.0.1"
|
||||||
|
numpy = ">=1.17"
|
||||||
|
packaging = ">=20.0"
|
||||||
|
pillow = ">=6.2.0"
|
||||||
|
pyparsing = ">=2.2.1"
|
||||||
|
python-dateutil = ">=2.7"
|
||||||
|
setuptools_scm = ">=4"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "mypy-extensions"
|
||||||
|
version = "0.4.3"
|
||||||
|
description = "Experimental type system extensions for programs checked with the mypy typechecker."
|
||||||
|
category = "dev"
|
||||||
|
optional = false
|
||||||
|
python-versions = "*"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "networkx"
|
||||||
|
version = "2.8.4"
|
||||||
|
description = "Python package for creating and manipulating graphs and networks"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
default = ["numpy (>=1.19)", "scipy (>=1.8)", "matplotlib (>=3.4)", "pandas (>=1.3)"]
|
||||||
|
developer = ["pre-commit (>=2.19)", "mypy (>=0.960)"]
|
||||||
|
doc = ["sphinx (>=5)", "pydata-sphinx-theme (>=0.9)", "sphinx-gallery (>=0.10)", "numpydoc (>=1.4)", "pillow (>=9.1)", "nb2plots (>=0.6)", "texext (>=0.6.6)"]
|
||||||
|
extra = ["lxml (>=4.6)", "pygraphviz (>=1.9)", "pydot (>=1.4.2)", "sympy (>=1.10)"]
|
||||||
|
test = ["pytest (>=7.1)", "pytest-cov (>=3.0)", "codecov (>=2.1)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "numpy"
|
||||||
|
version = "1.23.0"
|
||||||
|
description = "NumPy is the fundamental package for array computing with Python."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "opencv-python-headless"
|
||||||
|
version = "4.6.0.66"
|
||||||
|
description = "Wrapper package for OpenCV python bindings."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = [
|
||||||
|
{version = ">=1.21.2", markers = "python_version >= \"3.10\" or python_version >= \"3.6\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
|
||||||
|
{version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""},
|
||||||
|
{version = ">=1.14.5", markers = "python_version >= \"3.7\""},
|
||||||
|
{version = ">=1.17.3", markers = "python_version >= \"3.8\""},
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "packaging"
|
||||||
|
version = "21.3"
|
||||||
|
description = "Core utilities for Python packages"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pathspec"
|
||||||
|
version = "0.9.0"
|
||||||
|
description = "Utility library for gitignore style pattern matching of file paths."
|
||||||
|
category = "dev"
|
||||||
|
optional = false
|
||||||
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pillow"
|
||||||
|
version = "9.1.1"
|
||||||
|
description = "Python Imaging Library (Fork)"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
docs = ["olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinx-rtd-theme (>=1.0)", "sphinxext-opengraph"]
|
||||||
|
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "platformdirs"
|
||||||
|
version = "2.5.2"
|
||||||
|
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||||
|
category = "dev"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"]
|
||||||
|
test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pyparsing"
|
||||||
|
version = "3.0.9"
|
||||||
|
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6.8"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
diagrams = ["railroad-diagrams", "jinja2"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "python-dateutil"
|
||||||
|
version = "2.8.2"
|
||||||
|
description = "Extensions to the standard Python datetime module"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
six = ">=1.5"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pywavelets"
|
||||||
|
version = "1.3.0"
|
||||||
|
description = "PyWavelets, wavelet transform module"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = ">=1.17.3"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pyyaml"
|
||||||
|
version = "6.0"
|
||||||
|
description = "YAML parser and emitter for Python"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "qudida"
|
||||||
|
version = "0.0.4"
|
||||||
|
description = "QUick and DIrty Domain Adaptation"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.5.0"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = ">=0.18.0"
|
||||||
|
opencv-python-headless = ">=4.0.1"
|
||||||
|
scikit-learn = ">=0.19.1"
|
||||||
|
typing-extensions = "*"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "requests"
|
||||||
|
version = "2.28.0"
|
||||||
|
description = "Python HTTP for Humans."
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7, <4"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
certifi = ">=2017.4.17"
|
||||||
|
charset-normalizer = ">=2.0.0,<2.1.0"
|
||||||
|
idna = ">=2.5,<4"
|
||||||
|
urllib3 = ">=1.21.1,<1.27"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||||
|
use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "scikit-image"
|
||||||
|
version = "0.18.3"
|
||||||
|
description = "Image processing in Python"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
imageio = ">=2.3.0"
|
||||||
|
matplotlib = ">=2.0.0,<3.0.0 || >3.0.0"
|
||||||
|
networkx = ">=2.0"
|
||||||
|
numpy = ">=1.16.5"
|
||||||
|
pillow = ">=4.3.0,<7.1.0 || >7.1.0,<7.1.1 || >7.1.1"
|
||||||
|
PyWavelets = ">=1.1.1"
|
||||||
|
scipy = ">=1.0.1"
|
||||||
|
tifffile = ">=2019.7.26"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
data = ["pooch (>=1.3.0)"]
|
||||||
|
docs = ["sphinx (>=1.8,<=2.4.4)", "sphinx-gallery (>=0.7.0,!=0.8.0)", "numpydoc (>=1.0)", "sphinx-copybutton", "pytest-runner", "scikit-learn", "matplotlib (>=3.0.1)", "dask[array] (>=0.15.0,!=2.17.0)", "cloudpickle (>=0.2.1)", "pandas (>=0.23.0)", "seaborn (>=0.7.1)", "pooch (>=1.3.0)", "tifffile (>=2020.5.30)", "myst-parser", "ipywidgets", "plotly (>=4.10.0)"]
|
||||||
|
optional = ["simpleitk", "astropy (>=3.1.2)", "qtpy", "pyamg", "dask[array] (>=1.0.0,!=2.17.0)", "cloudpickle (>=0.2.1)", "pooch (>=1.3.0)"]
|
||||||
|
test = ["pytest (>=5.2.0)", "pytest-cov (>=2.7.0)", "pytest-localserver", "pytest-faulthandler", "flake8", "codecov", "pooch (>=1.3.0)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "scikit-learn"
|
||||||
|
version = "1.1.1"
|
||||||
|
description = "A set of python modules for machine learning and data mining"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
joblib = ">=1.0.0"
|
||||||
|
numpy = ">=1.17.3"
|
||||||
|
scipy = ">=1.3.2"
|
||||||
|
threadpoolctl = ">=2.0.0"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
benchmark = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "memory-profiler (>=0.57.0)"]
|
||||||
|
docs = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.2.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
|
||||||
|
examples = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)"]
|
||||||
|
tests = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=22.3.0)", "mypy (>=0.770)", "pyamg (>=4.0.0)", "numpydoc (>=1.2.0)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "scipy"
|
||||||
|
version = "1.8.1"
|
||||||
|
description = "SciPy: Scientific Library for Python"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8,<3.11"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
numpy = ">=1.17.3,<1.25.0"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "setuptools-scm"
|
||||||
|
version = "7.0.2"
|
||||||
|
description = "the blessed package to manage your versions by scm tags"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
packaging = ">=20.0"
|
||||||
|
tomli = ">=1.0.0"
|
||||||
|
typing-extensions = "*"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
test = ["pytest (>=6.2)", "virtualenv (>20)"]
|
||||||
|
toml = ["setuptools (>=42)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "six"
|
||||||
|
version = "1.16.0"
|
||||||
|
description = "Python 2 and 3 compatibility utilities"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "threadpoolctl"
|
||||||
|
version = "3.1.0"
|
||||||
|
description = "threadpoolctl"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.6"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "tifffile"
|
||||||
|
version = "2022.5.4"
|
||||||
|
description = "Read and write TIFF files"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
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||||||
|
[package.dependencies]
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||||||
|
numpy = ">=1.19.2"
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||||||
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||||||
|
[package.extras]
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||||||
|
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||||||
|
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||||||
|
[[package]]
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||||||
|
name = "tomli"
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||||||
|
version = "2.0.1"
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||||||
|
description = "A lil' TOML parser"
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||||||
|
category = "main"
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||||||
|
optional = false
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||||||
|
python-versions = ">=3.7"
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||||||
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||||||
|
[[package]]
|
||||||
|
name = "torch"
|
||||||
|
version = "1.11.0"
|
||||||
|
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
||||||
|
category = "main"
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||||||
|
optional = false
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||||||
|
python-versions = ">=3.7.0"
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[package.dependencies]
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||||||
|
typing-extensions = "*"
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||||||
|
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||||||
|
[[package]]
|
||||||
|
name = "torchvision"
|
||||||
|
version = "0.12.0"
|
||||||
|
description = "image and video datasets and models for torch deep learning"
|
||||||
|
category = "main"
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||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
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||||||
|
[package.dependencies]
|
||||||
|
numpy = "*"
|
||||||
|
pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
|
||||||
|
requests = "*"
|
||||||
|
torch = "*"
|
||||||
|
typing-extensions = "*"
|
||||||
|
|
||||||
|
[package.extras]
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||||||
|
scipy = ["scipy"]
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||||||
|
|
||||||
|
[[package]]
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||||||
|
name = "tqdm"
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||||||
|
version = "4.64.0"
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||||||
|
description = "Fast, Extensible Progress Meter"
|
||||||
|
category = "main"
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||||||
|
optional = false
|
||||||
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
dev = ["py-make (>=0.1.0)", "twine", "wheel"]
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||||||
|
notebook = ["ipywidgets (>=6)"]
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||||||
|
slack = ["slack-sdk"]
|
||||||
|
telegram = ["requests"]
|
||||||
|
|
||||||
|
[[package]]
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||||||
|
name = "typing-extensions"
|
||||||
|
version = "4.2.0"
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||||||
|
description = "Backported and Experimental Type Hints for Python 3.7+"
|
||||||
|
category = "main"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "urllib3"
|
||||||
|
version = "1.26.9"
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||||||
|
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||||
|
category = "main"
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||||||
|
optional = false
|
||||||
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
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||||||
|
|
||||||
|
[package.extras]
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||||||
|
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||||||
|
secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
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||||||
|
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
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||||||
|
|
||||||
|
[metadata]
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||||||
|
lock-version = "1.1"
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||||||
|
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|
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||||||
|
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||||||
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
|
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||||||
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{file = "kiwisolver-1.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:8395064d63b26947fa2c9faeea9c3eee35e52148c5339c37987e1d96fbf009b3"},
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{file = "kiwisolver-1.4.3-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ae7aa0784aeadfbd693c27993727792fbe1455b84d49970bad5886b42976b18"},
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{file = "kiwisolver-1.4.3-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:130c6c35eded399d3967cf8a542c20b671f5ba85bd6f210f8b939f868360e9eb"},
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{file = "kiwisolver-1.4.3.tar.gz", hash = "sha256:ab8a15c2750ae8d53e31f77a94f846d0a00772240f1c12817411fa2344351f86"},
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||||||
|
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||||||
|
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mypy-extensions = [
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|
]
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networkx = [
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|
{file = "networkx-2.8.4-py3-none-any.whl", hash = "sha256:6933b9b3174a0bdf03c911bb4a1ee43a86ce3edeb813e37e1d4c553b3f4a2c4f"},
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{file = "networkx-2.8.4.tar.gz", hash = "sha256:5e53f027c0d567cf1f884dbb283224df525644e43afd1145d64c9d88a3584762"},
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||||||
|
]
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||||||
|
numpy = [
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||||||
|
{file = "numpy-1.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58bfd40eb478f54ff7a5710dd61c8097e169bc36cc68333d00a9bcd8def53b38"},
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{file = "numpy-1.23.0-cp310-cp310-win32.whl", hash = "sha256:2b2da66582f3a69c8ce25ed7921dcd8010d05e59ac8d89d126a299be60421171"},
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{file = "numpy-1.23.0-cp310-cp310-win_amd64.whl", hash = "sha256:97a76604d9b0e79f59baeca16593c711fddb44936e40310f78bfef79ee9a835f"},
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{file = "numpy-1.23.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d8cc87bed09de55477dba9da370c1679bd534df9baa171dd01accbb09687dac3"},
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{file = "numpy-1.23.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f0f18804df7370571fb65db9b98bf1378172bd4e962482b857e612d1fec0f53e"},
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{file = "numpy-1.23.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac86f407873b952679f5f9e6c0612687e51547af0e14ddea1eedfcb22466babd"},
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{file = "numpy-1.23.0-cp38-cp38-win32.whl", hash = "sha256:fe8b9683eb26d2c4d5db32cd29b38fdcf8381324ab48313b5b69088e0e355379"},
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||||||
|
{file = "numpy-1.23.0-cp38-cp38-win_amd64.whl", hash = "sha256:5043bcd71fcc458dfb8a0fc5509bbc979da0131b9d08e3d5f50fb0bbb36f169a"},
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{file = "numpy-1.23.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79a506cacf2be3a74ead5467aee97b81fca00c9c4c8b3ba16dbab488cd99ba10"},
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{file = "numpy-1.23.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f9c3fc2adf67762c9fe1849c859942d23f8d3e0bee7b5ed3d4a9c3eeb50a2f07"},
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{file = "numpy-1.23.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0d2094e8f4d760500394d77b383a1b06d3663e8892cdf5df3c592f55f3bff66"},
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{file = "numpy-1.23.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:94b170b4fa0168cd6be4becf37cb5b127bd12a795123984385b8cd4aca9857e5"},
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{file = "numpy-1.23.0.tar.gz", hash = "sha256:bd3fa4fe2e38533d5336e1272fc4e765cabbbde144309ccee8675509d5cd7b05"},
|
||||||
|
]
|
||||||
|
opencv-python-headless = [
|
||||||
|
{file = "opencv-python-headless-4.6.0.66.tar.gz", hash = "sha256:d5291d7e10aa2c19cab6fd86f0d61af8617290ecd2d7ffcb051e446868d04cc5"},
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{file = "opencv_python_headless-4.6.0.66-cp36-abi3-macosx_10_15_x86_64.whl", hash = "sha256:21e70f8b0c04098cdf466d27184fe6c3820aaef944a22548db95099959c95889"},
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||||||
|
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||||||
|
{file = "opencv_python_headless-4.6.0.66-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c032c373e447c3fc2a670bca20e2918a1205a6e72854df60425fd3f82c78c32"},
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||||||
|
{file = "opencv_python_headless-4.6.0.66-cp36-abi3-win32.whl", hash = "sha256:3bacd806cce1f1988e58f3d6f761538e0215d6621d316de94c009dc0acbd6ad3"},
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||||||
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{file = "opencv_python_headless-4.6.0.66-cp36-abi3-win_amd64.whl", hash = "sha256:e6c069bc963d7e8fcec21b3e33e594d35948badd63eccb2e80f88b0a12102c03"},
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||||||
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{file = "opencv_python_headless-4.6.0.66-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:ffbf26fcd697af996408440a93bc69c49c05a36845771f984156dfbeaa95d497"},
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||||||
|
]
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|
packaging = [
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|
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
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{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
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|
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pathspec = [
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{file = "pathspec-0.9.0-py2.py3-none-any.whl", hash = "sha256:7d15c4ddb0b5c802d161efc417ec1a2558ea2653c2e8ad9c19098201dc1c993a"},
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{file = "pathspec-0.9.0.tar.gz", hash = "sha256:e564499435a2673d586f6b2130bb5b95f04a3ba06f81b8f895b651a3c76aabb1"},
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|
]
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||||||
|
pillow = [
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|
{file = "Pillow-9.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:42dfefbef90eb67c10c45a73a9bc1599d4dac920f7dfcbf4ec6b80cb620757fe"},
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{file = "Pillow-9.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9370d6744d379f2de5d7fa95cdbd3a4d92f0b0ef29609b4b1687f16bc197063d"},
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{file = "Pillow-9.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a66fe50386162df2da701b3722781cbe90ce043e7d53c1fd6bd801bca6b48d4"},
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{file = "Pillow-9.1.1-cp37-cp37m-win32.whl", hash = "sha256:2b291cab8a888658d72b575a03e340509b6b050b62db1f5539dd5cd18fd50578"},
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||||||
|
{file = "Pillow-9.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:1d4331aeb12f6b3791911a6da82de72257a99ad99726ed6b63f481c0184b6fb9"},
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{file = "Pillow-9.1.1-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8844217cdf66eabe39567118f229e275f0727e9195635a15e0e4b9227458daaf"},
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{file = "Pillow-9.1.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b6617221ff08fbd3b7a811950b5c3f9367f6e941b86259843eab77c8e3d2b56b"},
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{file = "Pillow-9.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20d514c989fa28e73a5adbddd7a171afa5824710d0ab06d4e1234195d2a2e546"},
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{file = "Pillow-9.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53c27bd452e0f1bc4bfed07ceb235663a1df7c74df08e37fd6b03eb89454946a"},
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{file = "Pillow-9.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3f6c1716c473ebd1649663bf3b42702d0d53e27af8b64642be0dd3598c761fb1"},
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||||||
|
{file = "Pillow-9.1.1-cp38-cp38-win32.whl", hash = "sha256:c67db410508b9de9c4694c57ed754b65a460e4812126e87f5052ecf23a011a54"},
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||||||
|
{file = "Pillow-9.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:f054b020c4d7e9786ae0404278ea318768eb123403b18453e28e47cdb7a0a4bf"},
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||||||
|
{file = "Pillow-9.1.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:c17770a62a71718a74b7548098a74cd6880be16bcfff5f937f900ead90ca8e92"},
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|
{file = "Pillow-9.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f3f6a6034140e9e17e9abc175fc7a266a6e63652028e157750bd98e804a8ed9a"},
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{file = "Pillow-9.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f372d0f08eff1475ef426344efe42493f71f377ec52237bf153c5713de987251"},
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|
{file = "Pillow-9.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09e67ef6e430f90caa093528bd758b0616f8165e57ed8d8ce014ae32df6a831d"},
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{file = "Pillow-9.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66daa16952d5bf0c9d5389c5e9df562922a59bd16d77e2a276e575d32e38afd1"},
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||||||
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{file = "Pillow-9.1.1-cp39-cp39-win32.whl", hash = "sha256:55e74faf8359ddda43fee01bffbc5bd99d96ea508d8a08c527099e84eb708f45"},
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||||||
|
{file = "Pillow-9.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:7c150dbbb4a94ea4825d1e5f2c5501af7141ea95825fadd7829f9b11c97aaf6c"},
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{file = "Pillow-9.1.1-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:769a7f131a2f43752455cc72f9f7a093c3ff3856bf976c5fb53a59d0ccc704f6"},
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{file = "Pillow-9.1.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:488f3383cf5159907d48d32957ac6f9ea85ccdcc296c14eca1a4e396ecc32098"},
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||||||
|
{file = "Pillow-9.1.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b525a356680022b0af53385944026d3486fc8c013638cf9900eb87c866afb4c"},
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||||||
|
{file = "Pillow-9.1.1-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:6e760cf01259a1c0a50f3c845f9cad1af30577fd8b670339b1659c6d0e7a41dd"},
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||||||
|
{file = "Pillow-9.1.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a4165205a13b16a29e1ac57efeee6be2dfd5b5408122d59ef2145bc3239fa340"},
|
||||||
|
{file = "Pillow-9.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:937a54e5694684f74dcbf6e24cc453bfc5b33940216ddd8f4cd8f0f79167f765"},
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||||||
|
{file = "Pillow-9.1.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:baf3be0b9446a4083cc0c5bb9f9c964034be5374b5bc09757be89f5d2fa247b8"},
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||||||
|
{file = "Pillow-9.1.1.tar.gz", hash = "sha256:7502539939b53d7565f3d11d87c78e7ec900d3c72945d4ee0e2f250d598309a0"},
|
||||||
|
]
|
||||||
|
platformdirs = [
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|
{file = "platformdirs-2.5.2-py3-none-any.whl", hash = "sha256:027d8e83a2d7de06bbac4e5ef7e023c02b863d7ea5d079477e722bb41ab25788"},
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{file = "platformdirs-2.5.2.tar.gz", hash = "sha256:58c8abb07dcb441e6ee4b11d8df0ac856038f944ab98b7be6b27b2a3c7feef19"},
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||||||
|
]
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|
pyparsing = [
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||||||
|
{file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
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{file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
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||||||
|
]
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||||||
|
python-dateutil = [
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||||||
|
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
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{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
||||||
|
]
|
||||||
|
pywavelets = [
|
||||||
|
{file = "PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl", hash = "sha256:eebaa9c28600da336743fefd650332460c132792660e70eb09abf343b0664b87"},
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|
{file = "PyWavelets-1.3.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:3eeffcf2f7eebae5cc27cb11a7d0d96118e2e9f75ac38ff1a05373d5fe75accb"},
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{file = "PyWavelets-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:35a945bea9da6db9755e42e06e871846514ae91bde3ae24a08a1d090b003a23b"},
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|
{file = "PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8876764e349673ee8d48bc3cd0afd2f9f7b65378998e2665af12c277c8a56de"},
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|
{file = "PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c98ac1cee6276db05768e450dc3002033be6c2819c906103a974e0fb0d436f41"},
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|
{file = "PyWavelets-1.3.0-cp310-cp310-win32.whl", hash = "sha256:6ecfe051ccb097c2dcdcb0977e0a684e76144d6694a202badf0780143d8536f0"},
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|
{file = "PyWavelets-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:437806465cfa5f2d91809ec13154be050b84a11025784a6b6ce04ac452872b36"},
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|
{file = "PyWavelets-1.3.0-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:3c4ebe7ff2c9092f6bdd1f8bf98ce2745f5d43a9936d6e342ee83fbcae548116"},
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|
{file = "PyWavelets-1.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4f9ed4f175c66c9b8646a93fd54c588fd8f4b2517f53c59aea5cdf370f9c9ba"},
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|
{file = "PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:41e4f0a3a6a088e955006513fe72f863cea3ce293033131cacb8a1a3068ed228"},
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|
{file = "PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5b76731d2077242611b32f2e11c72adbf126b432ceae92e2ce8d0f693974c96d"},
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||||||
|
{file = "PyWavelets-1.3.0-cp37-cp37m-win32.whl", hash = "sha256:3d3ecc2ee87be94fb2dc8c2d35bcae3f24708677196e80028d24ba0fd2f6a70a"},
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||||||
|
{file = "PyWavelets-1.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:91e1b220f0ddd4c127bab718363c2c4a07dbcd95b9c4bfed09a3cdae47dbba43"},
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||||||
|
{file = "PyWavelets-1.3.0-cp38-cp38-macosx_10_13_universal2.whl", hash = "sha256:8a5941d1f4eb1bc9569c655b63ecb31aa15b3ef0fc9b57df275892c39bccc59e"},
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{file = "PyWavelets-1.3.0-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:a555a7a85da01357d8258cb45f751881f69013f8920f8738718c60cf8a47b755"},
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{file = "PyWavelets-1.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:69e9a46facf89b51e5700d10f6d831f29745471c1ab42917f2f849a257b9fd77"},
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|
{file = "PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a51225d24811ba7ef5184c03bb7072db0aa9651c4370a115d4069dedfb8d2f7a"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7369597e1b1d125eb4b458a36cef052beed188444e55ed21445c1196008e200"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:307ab8a4c3e5c2b8f7d3d371de4a5f019cf4b030b897c3394a4a7ad157369367"},
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||||||
|
{file = "PyWavelets-1.3.0-cp38-cp38-win32.whl", hash = "sha256:27e99818d3c26481de3c68dbe880a7fcafe661cc031b22eff4a64237fe17a7ff"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:3383d106fa8da0c2df30401ad056cd7a11b76d885f4bfa16ca7bcc6b4ca2831c"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-macosx_10_13_universal2.whl", hash = "sha256:84c58a179bdb9fc71039b1f68bcd0718a7d9814b5e3741d7681d3e027bb81b52"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:fccf468c55427828a3c534b651311f2759210836491c1112e1548e1babe368a5"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0ed3afbda88498b3ea3c861bf5b55e4feca41747730a71a22102ed5a74d1e453"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38cc635c08a050e175a492e66c9b63a8e1f42254e6879e614b6c9d8d69e0887f"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a486160f83efd8517cd748796adbab7c445ee8a3e1d168b4b8b60ed0f5aee3a0"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f6e7d969a6ef64ae8be1766b0b0e32debb13424543d331911b8d7e967d60dd42"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-win32.whl", hash = "sha256:de67deb275474094e160900ab7e07f2a721b9cd351cf3826c4a3ab89bb71d4b3"},
|
||||||
|
{file = "PyWavelets-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:a354979e2ee8cd71a8952ded381f3d9f981692b73c6842bcc6c9f64047e0a5be"},
|
||||||
|
{file = "PyWavelets-1.3.0.tar.gz", hash = "sha256:cbaa9d62052d9daf8da765fc8e7c30c38ea2b8e9e1c18841913dfb4aec671ee5"},
|
||||||
|
]
|
||||||
|
pyyaml = [
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"},
|
||||||
|
{file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"},
|
||||||
|
{file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"},
|
||||||
|
{file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"},
|
||||||
|
{file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
|
||||||
|
{file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
|
||||||
|
{file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
|
||||||
|
]
|
||||||
|
qudida = [
|
||||||
|
{file = "qudida-0.0.4-py3-none-any.whl", hash = "sha256:4519714c40cd0f2e6c51e1735edae8f8b19f4efe1f33be13e9d644ca5f736dd6"},
|
||||||
|
{file = "qudida-0.0.4.tar.gz", hash = "sha256:db198e2887ab0c9aa0023e565afbff41dfb76b361f85fd5e13f780d75ba18cc8"},
|
||||||
|
]
|
||||||
|
requests = [
|
||||||
|
{file = "requests-2.28.0-py3-none-any.whl", hash = "sha256:bc7861137fbce630f17b03d3ad02ad0bf978c844f3536d0edda6499dafce2b6f"},
|
||||||
|
{file = "requests-2.28.0.tar.gz", hash = "sha256:d568723a7ebd25875d8d1eaf5dfa068cd2fc8194b2e483d7b1f7c81918dbec6b"},
|
||||||
|
]
|
||||||
|
scikit-image = [
|
||||||
|
{file = "scikit-image-0.18.3.tar.gz", hash = "sha256:ecae99f93f4c5e9b1bf34959f4dc596c41f2f6b2fc407d9d9ddf85aebd3137ca"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:7f27357adae9225df10fd152224d4c43978ae222f44bad7fedbfc2b81b985f9d"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bf3cdadc15db90f875bf59bdd0db080337e6353bb3d165c281f9af456d9d3f2"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2f24eb3df859ba5b3fb66947fe2d7240653b38f307d574e25f1ae29cc2a212ee"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e2148846fae22e12b7a20d11d951adae57213dd097af5960407eb5c4421c0ab3"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-win32.whl", hash = "sha256:142d070a41f9dfed0c3661e0dd9ce3cdb59a20a5b5ab071f529577d6d3e1fb81"},
|
||||||
|
{file = "scikit_image-0.18.3-cp37-cp37m-win_amd64.whl", hash = "sha256:05b430b1f8e25f7ba4a55afc6bf592af00f0ec809ab1d80bdede8893e7c6af57"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ef92f42d8a0794c47df1eeb1937119b6686b523dc663ecc5ffdf3c91645719ac"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b60fe0bc6e770c126c625f8c2d8af3b20fea53dac845abdf474bef1bd526490"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:088bf793696a3d5f56cce27c75d415fa795d1db9336b7e8257a1764dc03c7c52"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7994866857a1bb388cf3ede4ca7a8fba0b89ef980d5d802ec25e30124a2a34db"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-win32.whl", hash = "sha256:b29982f07231f60d6170f4c2c6f2fe88051a7b4194d775aefd81bfee107452b9"},
|
||||||
|
{file = "scikit_image-0.18.3-cp38-cp38-win_amd64.whl", hash = "sha256:3f3aa984638a6868171d176d26d6bd17b7b16a9fd505eaa97482f00a4310e3ff"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f698fc715202eeccabb371190c19c2d6713696de4d07609a0fa0cae3acb0b3dd"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0bf23d3d182ba8fe4ef8a0935e843be1f6c99e7eebeb492ac07c305e8cbb1dcd"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:bfa6eb04dc0b8773043f9994eccd8c517d713cd0f9e960dcb6754e19c1abceb1"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8394ad148685ed6ea8d84eb9c41e70cef1adda6c6d9a0ff8476c3126818a9340"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-win32.whl", hash = "sha256:ec242ff35bd4bc531aaf00c6edb9f0f64ff36ff353bd6ecd8f1c77886ddc0a7a"},
|
||||||
|
{file = "scikit_image-0.18.3-cp39-cp39-win_amd64.whl", hash = "sha256:3068af85682e90fda021070969dd2fce667f89a868c6aacb2fffbc5aa002e39e"},
|
||||||
|
]
|
||||||
|
scikit-learn = [
|
||||||
|
{file = "scikit-learn-1.1.1.tar.gz", hash = "sha256:3e77b71e8e644f86c8b5be7f1c285ef597de4c384961389ee3e9ca36c445b256"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:102f51797cd8944bf44a038d106848ddf2804f2c1edf7aea45fba81a4fdc4d80"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:723cdb278b1fa57a55f68945bc4e501a2f12abe82f76e8d21e1806cbdbef6fc5"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33cf061ed0b79d647a3e4c3f6c52c412172836718a7cd4d11c1318d083300133"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47464c110eaa9ed9d1fe108cb403510878c3d3a40f110618d2a19b2190a3e35c"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:542ccd2592fe7ad31f5c85fed3a3deb3e252383960a85e4b49a629353fffaba4"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:3be10d8d325821ca366d4fe7083d87c40768f842f54371a9c908d97c45da16fc"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:b2db720e13e697d912a87c1a51194e6fb085dc6d8323caa5ca51369ca6948f78"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e851f8874398dcd50d1e174e810e9331563d189356e945b3271c0e19ee6f4d6f"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b928869072366dc138762fe0929e7dc88413f8a469aebc6a64adc10a9226180c"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-win32.whl", hash = "sha256:e9d228ced1214d67904f26fb820c8abbea12b2889cd4aa8cda20a4ca0ed781c1"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:f2d5b5d6e87d482e17696a7bfa03fe9515fdfe27e462a4ad37f3d7774a5e2fd6"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:0403ad13f283e27d43b0ad875f187ec7f5d964903d92d1ed06c51439560ecea0"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8fe80df08f5b9cee5dd008eccc672e543976198d790c07e5337f7dfb67eaac05"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ff56d07b9507fbe07ca0f4e5c8f3e171f74a429f998da03e308166251316b34"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2dad2bfc502344b869d4a3f4aa7271b2a5f4fe41f7328f404844c51612e2c58"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-win32.whl", hash = "sha256:22145b60fef02e597a8e7f061ebc7c51739215f11ce7fcd2ca9af22c31aa9f86"},
|
||||||
|
{file = "scikit_learn-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:45c0f6ae523353f1d99b85469d746f9c497410adff5ba8b24423705b6956a86e"},
|
||||||
|
]
|
||||||
|
scipy = [
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:65b77f20202599c51eb2771d11a6b899b97989159b7975e9b5259594f1d35ef4"},
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e013aed00ed776d790be4cb32826adb72799c61e318676172495383ba4570aa4"},
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:02b567e722d62bddd4ac253dafb01ce7ed8742cf8031aea030a41414b86c1125"},
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1da52b45ce1a24a4a22db6c157c38b39885a990a566748fc904ec9f03ed8c6ba"},
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0aa8220b89b2e3748a2836fbfa116194378910f1a6e78e4675a095bcd2c762d"},
|
||||||
|
{file = "scipy-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:4e53a55f6a4f22de01ffe1d2f016e30adedb67a699a310cdcac312806807ca81"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:28d2cab0c6ac5aa131cc5071a3a1d8e1366dad82288d9ec2ca44df78fb50e649"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:6311e3ae9cc75f77c33076cb2794fb0606f14c8f1b1c9ff8ce6005ba2c283621"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3b69b90c9419884efeffaac2c38376d6ef566e6e730a231e15722b0ab58f0328"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6cc6b33139eb63f30725d5f7fa175763dc2df6a8f38ddf8df971f7c345b652dc"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c4e3ae8a716c8b3151e16c05edb1daf4cb4d866caa385e861556aff41300c14"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23b22fbeef3807966ea42d8163322366dd89da9bebdc075da7034cee3a1441ca"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-win32.whl", hash = "sha256:4b93ec6f4c3c4d041b26b5f179a6aab8f5045423117ae7a45ba9710301d7e462"},
|
||||||
|
{file = "scipy-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:70ebc84134cf0c504ce6a5f12d6db92cb2a8a53a49437a6bb4edca0bc101f11c"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f3e7a8867f307e3359cc0ed2c63b61a1e33a19080f92fe377bc7d49f646f2ec1"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:2ef0fbc8bcf102c1998c1f16f15befe7cffba90895d6e84861cd6c6a33fb54f6"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:83606129247e7610b58d0e1e93d2c5133959e9cf93555d3c27e536892f1ba1f2"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:93d07494a8900d55492401917a119948ed330b8c3f1d700e0b904a578f10ead4"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3b3c8924252caaffc54d4a99f1360aeec001e61267595561089f8b5900821bb"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70de2f11bf64ca9921fda018864c78af7147025e467ce9f4a11bc877266900a6"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-win32.whl", hash = "sha256:1166514aa3bbf04cb5941027c6e294a000bba0cf00f5cdac6c77f2dad479b434"},
|
||||||
|
{file = "scipy-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:9dd4012ac599a1e7eb63c114d1eee1bcfc6dc75a29b589ff0ad0bb3d9412034f"},
|
||||||
|
{file = "scipy-1.8.1.tar.gz", hash = "sha256:9e3fb1b0e896f14a85aa9a28d5f755daaeeb54c897b746df7a55ccb02b340f33"},
|
||||||
|
]
|
||||||
|
setuptools-scm = [
|
||||||
|
{file = "setuptools_scm-7.0.2-py3-none-any.whl", hash = "sha256:ec120c99027a785c7a349667480a5b2100dfc7d5063e545c93f3735508945aef"},
|
||||||
|
{file = "setuptools_scm-7.0.2.tar.gz", hash = "sha256:53afbaa882f43e5ec8e14f2d93b9c268dc62eb3f6cc8b2790f8cb97903e53c02"},
|
||||||
|
]
|
||||||
|
six = [
|
||||||
|
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||||
|
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||||
|
]
|
||||||
|
threadpoolctl = [
|
||||||
|
{file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
|
||||||
|
{file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
|
||||||
|
]
|
||||||
|
tifffile = [
|
||||||
|
{file = "tifffile-2022.5.4-py3-none-any.whl", hash = "sha256:52b4c02040d00c1811e26c0f6abd41e77e2d57559b3657ff3e873955f74f5c57"},
|
||||||
|
{file = "tifffile-2022.5.4.tar.gz", hash = "sha256:b03147a15862b7c1d90d47435197f149bef7a52c25ad67cf1f9b465faa71b8d2"},
|
||||||
|
]
|
||||||
|
tomli = [
|
||||||
|
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||||
|
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||||
|
]
|
||||||
|
torch = [
|
||||||
|
{file = "torch-1.11.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:62052b50fffc29ca7afc0c04ef8206b6f1ca9d10629cb543077e12967e8d0398"},
|
||||||
|
{file = "torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:866bfba29ac98dec35d893d8e17eaec149d0ac7a53be7baae5c98069897db667"},
|
||||||
|
{file = "torch-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:951640fb8db308a59d9b510e7d1ad910aff92913323bbe4bc75435347ddd346d"},
|
||||||
|
{file = "torch-1.11.0-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:5d77b5ece78fdafa5c7f42995ff9474399d22571cd6b2de21a5d666306a2ff8c"},
|
||||||
|
{file = "torch-1.11.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:b5a38682769b544c875ecc34bcb81fbad5c922139b61319aacffcfd8a32f528c"},
|
||||||
|
{file = "torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f82d77695a60626f2b7382d85bc566de8a6b3e50d32080755abc040db802e419"},
|
||||||
|
{file = "torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b96654d42566080a134e784705f33f8536b3b95b5dcde357ed7879b1692a5f78"},
|
||||||
|
{file = "torch-1.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8ee7c2e8d7f7020d5bfbc1bb91b9591044c26bbd0cee5e4f694cfd7ed8649260"},
|
||||||
|
{file = "torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:6860b1d1bf0bb0b67a6bd47f85a0e4c825b518eea13b5d6101999dbbcbd5bc0c"},
|
||||||
|
{file = "torch-1.11.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:4322aa29f50da7f404db06cdf30896ea67b09f673af4a985afc7162bc897864d"},
|
||||||
|
{file = "torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e4d2e0ddd652f30e94cff750220324ec45705d4ecc69658f773b3cb1c7a28dd0"},
|
||||||
|
{file = "torch-1.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:34ce5ea4d8d85da32cdbadb50d4585106901e9f8a3527991daa70c13a09de1f7"},
|
||||||
|
{file = "torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:0ccc85cd06227a3edf809e2c795fd5762c3d4e8a38b5c9f744c6e7cf841361bb"},
|
||||||
|
{file = "torch-1.11.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c1554e49d74f1b2c3e7202d77056ba2dd7465437585bac64062b580f714a44e9"},
|
||||||
|
{file = "torch-1.11.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:58c7814502b1c129a650d7092033bbb0bbd64faf1a7941631aaa1aeaddc37570"},
|
||||||
|
{file = "torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:831cf588f01dda9409e75576741d2823453990dee2983d670f2584b37a01adf7"},
|
||||||
|
{file = "torch-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:44a1d02fd20f827f0f36dc26fdcfc45e793806a6ad52769a22260655a77a4369"},
|
||||||
|
{file = "torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:50fd9bf85c578c871c28f1cb0ace9dfc6024401c7f399b174fb0f370899f4454"},
|
||||||
|
{file = "torch-1.11.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:0e48af66ad755f0f9c5f2664028a414f57c49d6adc37e77e06fe0004da4edb61"},
|
||||||
|
]
|
||||||
|
torchvision = [
|
||||||
|
{file = "torchvision-0.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:693656e6790b6ab21e4a6e87e81c2982bad9e455b5eb24e14bb672382ec6130f"},
|
||||||
|
{file = "torchvision-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0be4501ca0ba1b195644c9243f49a1c49a26e52a7f37924c4239d0bf5ecbd8d"},
|
||||||
|
{file = "torchvision-0.12.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:ebfb47adf65bf3926b990b2c4767e291f135e259e03232e0e1a30ecdb05eb087"},
|
||||||
|
{file = "torchvision-0.12.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9771231639afb5973cdaea1d449b451e2982e1ef5410ca67bbdc2b465565573a"},
|
||||||
|
{file = "torchvision-0.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:894dacdc64b6e35e3f330722db51c76f4de016c7bf7bd79cf02ed2f4c106e625"},
|
||||||
|
{file = "torchvision-0.12.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:36dfdf6451fe3072ab15118982853b848896c0fd3b26cb8135e1e7981dbb0916"},
|
||||||
|
{file = "torchvision-0.12.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:aac76d52c5ce4229cb0eaebb762f3391fa736565eb35a4184fa0f7be30b705cd"},
|
||||||
|
{file = "torchvision-0.12.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:926666f0b893dce6619759c19b0dd3884af7a9d7022b10395653659d28e43c48"},
|
||||||
|
{file = "torchvision-0.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:c225f55c1bfce027a03f4ca46ddb9559c83f8087c2880bed3261a76c49bb7996"},
|
||||||
|
{file = "torchvision-0.12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d1ccb53836ba886320dcda12d00ee8b5f8f38b6c36d7906f141d25778cf74104"},
|
||||||
|
{file = "torchvision-0.12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9f42420f7f0b29cd3d61776df3157827257a0cf16b2c02776dc16c96abb1256d"},
|
||||||
|
{file = "torchvision-0.12.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:9017248c7e526c8cdcaaab8cf41d904a520a409d707398189a06d0757901d235"},
|
||||||
|
{file = "torchvision-0.12.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:0744902f2265d4c3e83c44a06b567df312e4a9faf8c92620016c7bed7056b5a7"},
|
||||||
|
{file = "torchvision-0.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:a91db01496932350bf9c0ee8607ac8ef31c3ebfdaedefe5c5cda0515317f8b8e"},
|
||||||
|
{file = "torchvision-0.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:24d03fcaa28004c64a24124ac4a894c50f5948c8eb290e398d6c76fff2bc678f"},
|
||||||
|
{file = "torchvision-0.12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:69d82f47b67bad6ddcbb87833ba5950a6c271ba97baae4c0955610071bf034f5"},
|
||||||
|
{file = "torchvision-0.12.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:49ed7886b93b80c9733462edd06a07f8d4c6ea4d5bd2894e7268f7a3774f4f7d"},
|
||||||
|
{file = "torchvision-0.12.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b93a767f44e3933cb3b01a6fe9727db54590f57b7dac09d5aaf15966c6c151dd"},
|
||||||
|
{file = "torchvision-0.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:edab05f7ba9f648c00435b384ffdbd7bde79a3b8ea893813fb50f6ccf28b1e76"},
|
||||||
|
]
|
||||||
|
tqdm = [
|
||||||
|
{file = "tqdm-4.64.0-py2.py3-none-any.whl", hash = "sha256:74a2cdefe14d11442cedf3ba4e21a3b84ff9a2dbdc6cfae2c34addb2a14a5ea6"},
|
||||||
|
{file = "tqdm-4.64.0.tar.gz", hash = "sha256:40be55d30e200777a307a7585aee69e4eabb46b4ec6a4b4a5f2d9f11e7d5408d"},
|
||||||
|
]
|
||||||
|
typing-extensions = [
|
||||||
|
{file = "typing_extensions-4.2.0-py3-none-any.whl", hash = "sha256:6657594ee297170d19f67d55c05852a874e7eb634f4f753dbd667855e07c1708"},
|
||||||
|
{file = "typing_extensions-4.2.0.tar.gz", hash = "sha256:f1c24655a0da0d1b67f07e17a5e6b2a105894e6824b92096378bb3668ef02376"},
|
||||||
|
]
|
||||||
|
urllib3 = [
|
||||||
|
{file = "urllib3-1.26.9-py2.py3-none-any.whl", hash = "sha256:44ece4d53fb1706f667c9bd1c648f5469a2ec925fcf3a776667042d645472c14"},
|
||||||
|
{file = "urllib3-1.26.9.tar.gz", hash = "sha256:aabaf16477806a5e1dd19aa41f8c2b7950dd3c746362d7e3223dbe6de6ac448e"},
|
||||||
|
]
|
||||||
37
pyproject.toml
Normal file
37
pyproject.toml
Normal file
|
|
@ -0,0 +1,37 @@
|
||||||
|
[tool.poetry]
|
||||||
|
name = "unet"
|
||||||
|
version = "0.1.0"
|
||||||
|
description = "unet"
|
||||||
|
authors = ["laurent"]
|
||||||
|
|
||||||
|
[tool.poetry.dependencies]
|
||||||
|
python = ">=3.8,<3.11"
|
||||||
|
torch = "^1.11.0"
|
||||||
|
numpy = "^1.23.0"
|
||||||
|
scipy = "^1.8.1"
|
||||||
|
albumentations = "^1.2.0"
|
||||||
|
tqdm = "^4.64.0"
|
||||||
|
torchvision = "^0.12.0"
|
||||||
|
matplotlib = "^3.5.2"
|
||||||
|
|
||||||
|
[tool.poetry.dev-dependencies]
|
||||||
|
black = "^22.3.0"
|
||||||
|
|
||||||
|
[build-system]
|
||||||
|
requires = ["poetry-core>=1.0.0"]
|
||||||
|
build-backend = "poetry.core.masonry.api"
|
||||||
|
|
||||||
|
[tool.black]
|
||||||
|
exclude = '''
|
||||||
|
/(
|
||||||
|
\.git
|
||||||
|
\.venv
|
||||||
|
)/
|
||||||
|
'''
|
||||||
|
include = '\.pyi?$'
|
||||||
|
line-length = 120
|
||||||
|
target-version = ["py310"]
|
||||||
|
|
||||||
|
[tool.isort]
|
||||||
|
multi_line_output = 3
|
||||||
|
profile = "black"
|
||||||
|
|
@ -1,7 +0,0 @@
|
||||||
matplotlib
|
|
||||||
numpy
|
|
||||||
Pillow
|
|
||||||
torch
|
|
||||||
torchvision
|
|
||||||
tqdm
|
|
||||||
wandb
|
|
||||||
Loading…
Reference in a new issue