limiteinductive
1de567590b
fix typing issues coming from torch 2.4 version ; typing is not guaranteed for torch < 2.4
2024-08-02 12:02:00 +02:00
Pierre Chapuis
9be3580ab3
avoid OOMs in SAM tests
2024-06-24 17:19:05 +02:00
Pierre Chapuis
2ba83f575e
switch pytest import mode to importlib
...
see:
https://docs.pytest.org/en/7.1.x/explanation/goodpractices.html#choosing-an-import-mode
https://docs.pytest.org/en/7.1.x/explanation/pythonpath.html#import-modes
This change fixes the SAM tests.
2024-06-24 17:19:05 +02:00
Pierre Colle
bf7852b88e
SAM: image_to_scaled_tensor gray images
2024-04-16 18:45:17 +02:00
limiteinductive
f48712ee29
lint
2024-04-16 16:24:33 +02:00
limiteinductive
347fdbc794
add init file for segment_anything tests
2024-04-16 16:24:33 +02:00
Pierre Colle
0ac290f67d
SAM: expose sizing helpers
2024-04-12 08:56:23 +02:00
Pierre Chapuis
fd5a15c7e0
update pyright and fix Pillow 10.3 typing issues
2024-04-02 18:15:52 +02:00
Pierre Colle
6c37e3f933
hq-sam : weights/load_weights
2024-03-29 11:25:43 +01:00
Pierre Colle
cba83b0558
SAM init with mask_decoder after #325
2024-03-24 20:18:57 +01:00
Pierre Colle
5c937b184a
HQ-SAM logit equal test, following #331
2024-03-23 21:58:32 +01:00
Pierre Colle
2763db960e
SAM e2e test tolerance explained
2024-03-22 21:31:28 +01:00
hugojarkoff
a93ceff752
Add HQ-SAM Adapter
2024-03-21 15:36:55 +01:00
hugojarkoff
c6b5eb24a1
Add logits comparison for base SAM in single mask output prediction mode
2024-03-21 10:48:48 +01:00
Pierre Colle
68fe725767
Add multimask_output flag to SAM
2024-03-19 17:40:26 +01:00
Pierre Chapuis
be2368cf20
ruff 3 formatting (Rye 0.28)
2024-03-08 10:42:05 +01:00
Pierre Chapuis
471ef91d1c
make __getattr__
on Module return object, not Any
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PyTorch chose to make it Any because they expect its users' code
to be "highly dynamic": https://github.com/pytorch/pytorch/pull/104321
It is not the case for us, in Refiners having untyped code
goes contrary to one of our core principles.
Note that there is currently an open PR in PyTorch to
return `Module | Tensor`, but in practice this is not always
correct either: https://github.com/pytorch/pytorch/pull/115074
I also moved Residuals-related code from SD1 to latent_diffusion
because SDXL should not depend on SD1.
2024-02-06 11:32:18 +01:00
Cédric Deltheil
feff4c78ae
segment-anything: fix class name typo
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Note: weights are impacted
2024-01-30 09:52:40 +01:00
limiteinductive
ed3621362f
Add load_tensors utils in fluxion
2024-01-21 12:34:33 +01:00
hugojarkoff
00f494efe2
SegmentAnything: add dense mask prompt support
2024-01-05 18:53:25 +01:00
limiteinductive
20c229903f
upgrade pyright to 1.1.342 ; improve no_grad typing
2023-12-29 15:09:02 +01:00
Cédric Deltheil
22ce3fd033
sam: wrap high-level methods with no_grad
2023-12-19 21:45:23 +01:00
Cédric Deltheil
792a0fc3d9
run lint rules using latest isort settings
2023-12-11 11:58:43 +01:00
limiteinductive
86c54977b9
replace poetry by rye for python dependency management
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Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
Co-authored-by: Pierre Chapuis <git@catwell.info>
2023-12-08 17:40:10 +01:00
Pierre Chapuis
f22f969d65
remove Black preview mode
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also fix multiline logs in training
2023-12-04 14:15:56 +01:00
Pierre Chapuis
02f3c46e2e
update pyright
2023-10-25 14:56:07 +02:00
Benjamin Trom
ea44262a39
unnest Residual subchain by modifying its forward
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And replaced the remaining Sum-Identity layers by Residual.
The tolerance used to compare SAM's ViT models has been tweaked: for
some reasons there is a small difference (in float32) in the neck layer
(first conv2D)
Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
2023-10-19 10:34:51 +02:00
Benjamin Trom
282578ddc0
add Segment Anything (SAM) to foundational models
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Note: dense prompts (i.e. masks) support is still partial (see MaskEncoder)
Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
2023-09-21 11:44:30 +02:00