style: rapport

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Laureηt 2022-03-29 22:56:03 +02:00
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3 changed files with 967 additions and 32 deletions

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docs/bigstone.css Normal file
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@charset "UTF-8";
/*!
* awsm.css v3.0.7 (https://igoradamenko.github.io/awsm.css/)
* Copyright 2015 Igor Adamenko <mail@igoradamenko.com> (https://igoradamenko.com)
* Licensed under MIT (https://github.com/igoradamenko/awsm.css/blob/master/LICENSE.md)
*/
html {
font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
Oxygen, Ubuntu, Cantarell, "PT Sans", "Open Sans", "Fira Sans", "Droid Sans",
"Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 100%;
line-height: 1.4;
background: #1b2d3e;
color: #99c0c9;
-webkit-overflow-scrolling: touch;
}
body {
margin: 1.2em;
font-size: 1rem;
}
@media (min-width: 20rem) {
body {
font-size: calc(1rem + 0.00625 * (100vw - 20rem));
}
}
@media (min-width: 40rem) {
body {
font-size: 1.125rem;
}
}
body header,
body,
body footer,
body article {
position: relative;
max-width: 60rem;
margin: 0 auto;
}
body > header {
margin-bottom: 3.5em;
}
body > header h1 {
margin: 0;
font-size: 1.5em;
}
body > header p {
margin: 0;
font-size: 0.85em;
}
body > footer {
margin-top: 6em;
padding-bottom: 1.5em;
text-align: center;
font-size: 0.8rem;
color: #145e86;
}
nav {
margin: 1em 0;
}
nav ul {
list-style: none;
margin: 0;
padding: 0;
}
nav li {
display: inline-block;
margin-right: 1em;
margin-bottom: 0.25em;
}
nav li:last-child {
margin-right: 0;
}
nav a:visited {
color: #1570ab;
}
nav a:hover {
color: #aec8e7;
}
ul,
ol {
margin-top: 0;
padding-top: 0;
padding-left: 2.5em;
}
ul li + li,
ol li + li {
margin-top: 0.25em;
}
ul li > details,
ol li > details {
margin: 0;
}
p {
margin: 1em 0;
-webkit-hyphens: auto;
-ms-hyphens: auto;
hyphens: auto;
}
p:first-child {
margin-top: 0;
}
p:last-child {
margin-bottom: 0;
}
p + ul,
p + ol {
margin-top: -0.75em;
}
p img,
p picture {
margin: auto;
/* margin-bottom: 0.5em;
margin-left: 0.5em; */
}
p picture img {
float: none;
margin: 0;
}
dd {
margin-bottom: 1em;
margin-left: 0;
padding-left: 2.5em;
}
dt {
font-weight: 700;
}
blockquote {
margin: 0;
padding-left: 2.5em;
}
aside {
margin: 0.5em 0;
font-style: italic;
color: #145e86;
}
@media (min-width: 65rem) {
aside {
position: absolute;
right: -12.5rem;
width: 9.375rem;
max-width: 9.375rem;
margin: 0;
padding-left: 0.5em;
font-size: 0.8em;
border-left: 1px solid #184165;
}
}
aside:first-child {
margin-top: 0;
}
aside:last-child {
margin-bottom: 0;
}
section + section {
margin-top: 2em;
}
h1,
h2,
h3,
h4,
h5,
h6 {
margin: 1.25em 0 0;
line-height: 1.2;
}
h1:hover > a[href^="#"][id]:empty,
h1:focus > a[href^="#"][id]:empty,
h2:hover > a[href^="#"][id]:empty,
h2:focus > a[href^="#"][id]:empty,
h3:hover > a[href^="#"][id]:empty,
h3:focus > a[href^="#"][id]:empty,
h4:hover > a[href^="#"][id]:empty,
h4:focus > a[href^="#"][id]:empty,
h5:hover > a[href^="#"][id]:empty,
h5:focus > a[href^="#"][id]:empty,
h6:hover > a[href^="#"][id]:empty,
h6:focus > a[href^="#"][id]:empty {
opacity: 1;
}
h1 + p,
h1 + details,
h2 + p,
h2 + details,
h3 + p,
h3 + details,
h4 + p,
h4 + details,
h5 + p,
h5 + details,
h6 + p,
h6 + details {
margin-top: 0.5em;
}
h1 > a[href^="#"][id]:empty,
h2 > a[href^="#"][id]:empty,
h3 > a[href^="#"][id]:empty,
h4 > a[href^="#"][id]:empty,
h5 > a[href^="#"][id]:empty,
h6 > a[href^="#"][id]:empty {
position: absolute;
left: -0.65em;
opacity: 0;
text-decoration: none;
font-weight: 400;
line-height: 1;
color: #145e86;
}
@media (min-width: 40rem) {
h1 > a[href^="#"][id]:empty,
h2 > a[href^="#"][id]:empty,
h3 > a[href^="#"][id]:empty,
h4 > a[href^="#"][id]:empty,
h5 > a[href^="#"][id]:empty,
h6 > a[href^="#"][id]:empty {
left: -0.8em;
}
}
h1 > a[href^="#"][id]:empty:target,
h1 > a[href^="#"][id]:empty:hover,
h1 > a[href^="#"][id]:empty:focus,
h2 > a[href^="#"][id]:empty:target,
h2 > a[href^="#"][id]:empty:hover,
h2 > a[href^="#"][id]:empty:focus,
h3 > a[href^="#"][id]:empty:target,
h3 > a[href^="#"][id]:empty:hover,
h3 > a[href^="#"][id]:empty:focus,
h4 > a[href^="#"][id]:empty:target,
h4 > a[href^="#"][id]:empty:hover,
h4 > a[href^="#"][id]:empty:focus,
h5 > a[href^="#"][id]:empty:target,
h5 > a[href^="#"][id]:empty:hover,
h5 > a[href^="#"][id]:empty:focus,
h6 > a[href^="#"][id]:empty:target,
h6 > a[href^="#"][id]:empty:hover,
h6 > a[href^="#"][id]:empty:focus {
opacity: 1;
box-shadow: none;
color: #99c0c9;
}
h1 > a[href^="#"][id]:empty:target:focus,
h2 > a[href^="#"][id]:empty:target:focus,
h3 > a[href^="#"][id]:empty:target:focus,
h4 > a[href^="#"][id]:empty:target:focus,
h5 > a[href^="#"][id]:empty:target:focus,
h6 > a[href^="#"][id]:empty:target:focus {
outline: none;
}
h1 > a[href^="#"][id]:empty::before,
h2 > a[href^="#"][id]:empty::before,
h3 > a[href^="#"][id]:empty::before,
h4 > a[href^="#"][id]:empty::before,
h5 > a[href^="#"][id]:empty::before,
h6 > a[href^="#"][id]:empty::before {
content: "§ ";
}
h1 {
font-size: 2.5em;
}
h2 {
font-size: 1.75em;
}
h3 {
font-size: 1.25em;
}
h4 {
font-size: 1.15em;
}
h5 {
font-size: 1em;
}
h6 {
margin-top: 1em;
font-size: 1em;
color: #145e86;
}
article + article {
margin-top: 4em;
}
article header p {
font-size: 0.6em;
color: #145e86;
}
article header p + h1,
article header p + h2 {
margin-top: -0.25em;
}
article header h1 + p,
article header h2 + p {
margin-top: 0.25em;
}
article header h1 a,
article header h2 a {
color: #99c0c9;
}
article header h1 a:visited,
article header h2 a:visited {
color: #145e86;
}
article header h1 a:visited:hover,
article header h2 a:visited:hover {
color: #aec8e7;
}
article > footer {
margin-top: 1.5em;
font-size: 0.85em;
}
a {
color: #1570ab;
}
a:visited {
color: #726191;
}
a:hover,
a:active {
outline-width: 0;
}
a:hover {
color: #aec8e7;
}
a abbr {
font-size: 1em;
}
abbr {
margin-right: -0.075em;
text-decoration: none;
-webkit-hyphens: none;
-ms-hyphens: none;
hyphens: none;
letter-spacing: 0.075em;
font-size: 0.9em;
}
img,
picture {
display: block;
max-width: 100%;
margin: 0 auto;
}
audio,
video {
width: 100%;
max-width: 100%;
}
img {
margin: 1em 0 0.5em;
padding: 0;
}
img + p {
margin-top: 0.5em;
}
img figcaption {
opacity: 0.65;
font-size: 0.85em;
}
table {
display: inline-block;
border-spacing: 0;
border-collapse: collapse;
overflow-x: auto;
max-width: 100%;
text-align: left;
vertical-align: top;
background: linear-gradient(
rgba(153, 192, 201, 0.15) 0%,
rgba(153, 192, 201, 0.15) 100%
)
0 0,
linear-gradient(
rgba(153, 192, 201, 0.15) 0%,
rgba(153, 192, 201, 0.15) 100%
)
100% 0;
background-attachment: scroll, scroll;
background-size: 1px 100%, 1px 100%;
background-repeat: no-repeat, no-repeat;
}
table caption {
font-size: 0.9em;
background: #1b2d3e;
}
table td,
table th {
padding: 0.35em 0.75em;
vertical-align: top;
font-size: 0.9em;
border: 1px solid #184165;
border-top: 0;
border-left: 0;
}
table td:first-child,
table th:first-child {
padding-left: 0;
background-image: linear-gradient(
to right,
#1b2d3e 50%,
rgba(27, 45, 62, 0) 100%
);
background-size: 2px 100%;
background-repeat: no-repeat;
}
table td:last-child,
table th:last-child {
padding-right: 0;
border-right: 0;
background-image: linear-gradient(
to left,
#1b2d3e 50%,
rgba(27, 45, 62, 0) 100%
);
background-position: 100% 0;
background-size: 2px 100%;
background-repeat: no-repeat;
}
table td:only-child,
table th:only-child {
background-image: linear-gradient(
to right,
#1b2d3e 50%,
rgba(27, 45, 62, 0) 100%
),
linear-gradient(to left, #1b2d3e 50%, rgba(27, 45, 62, 0) 100%);
background-position: 0 0, 100% 0;
background-size: 2px 100%, 2px 100%;
background-repeat: no-repeat, no-repeat;
}
table th {
line-height: 1.2;
}
form {
margin-right: auto;
margin-left: auto;
}
@media (min-width: 40rem) {
form {
max-width: 80%;
}
}
form select,
form label {
display: block;
}
form label:not(:first-child) {
margin-top: 1em;
}
form p label {
display: inline;
}
form p label + label {
margin-left: 1em;
}
form legend:first-child + label {
margin-top: 0;
}
form select,
form input[type],
form textarea {
margin-bottom: 1em;
}
form input[type="checkbox"],
form input[type="radio"] {
margin-bottom: 0;
}
fieldset {
margin: 0;
padding: 0.5em 1em;
border: 1px solid #145e86;
}
legend {
color: #145e86;
}
button {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: inline-block;
width: auto;
background: #184165;
color: #99c0c9;
cursor: pointer;
}
button:focus {
border: 1px solid #99c0c9;
}
button:not([disabled]):hover {
border: 1px solid #99c0c9;
}
button:active {
background-color: #145e86;
}
button[disabled] {
color: #145e86;
cursor: not-allowed;
}
select {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: inline-block;
width: auto;
background: #184165;
color: #99c0c9;
cursor: pointer;
padding-right: 1.2em;
background-position: top 55% right 0.35em;
background-size: 0.5em;
background-repeat: no-repeat;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 3 2'%3E%3Cpath fill='rgb(20, 94, 134)' fill-rule='nonzero' d='M1.5 2L3 0H0z'/%3E%3C/svg%3E");
}
select:focus {
border: 1px solid #99c0c9;
}
select:not([disabled]):hover {
border: 1px solid #99c0c9;
}
select:active {
background-color: #145e86;
}
select[disabled] {
color: #145e86;
cursor: not-allowed;
}
select:not([disabled]):focus,
select:not([disabled]):hover {
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 3 2'%3E%3Cpath fill='rgb(153, 192, 201)' fill-rule='nonzero' d='M1.5 2L3 0H0z'/%3E%3C/svg%3E");
}
input[type="text"],
input[type="password"],
input[type^="date"],
input[type="email"],
input[type="number"],
input[type="search"],
input[type="tel"],
input[type="time"],
input[type="month"],
input[type="week"],
input[type="url"] {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: block;
width: 100%;
line-height: calc(2em - 1px * 2 - (0.25em - 1px) * 2);
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
}
input[type="text"]:focus,
input[type="password"]:focus,
input[type^="date"]:focus,
input[type="email"]:focus,
input[type="number"]:focus,
input[type="search"]:focus,
input[type="tel"]:focus,
input[type="time"]:focus,
input[type="month"]:focus,
input[type="week"]:focus,
input[type="url"]:focus {
border: 1px solid #99c0c9;
}
input[type="text"]::-moz-placeholder,
input[type="password"]::-moz-placeholder,
input[type^="date"]::-moz-placeholder,
input[type="email"]::-moz-placeholder,
input[type="number"]::-moz-placeholder,
input[type="search"]::-moz-placeholder,
input[type="tel"]::-moz-placeholder,
input[type="time"]::-moz-placeholder,
input[type="month"]::-moz-placeholder,
input[type="week"]::-moz-placeholder,
input[type="url"]::-moz-placeholder {
color: #145e86;
}
input[type="text"]::-webkit-input-placeholder,
input[type="password"]::-webkit-input-placeholder,
input[type^="date"]::-webkit-input-placeholder,
input[type="email"]::-webkit-input-placeholder,
input[type="number"]::-webkit-input-placeholder,
input[type="search"]::-webkit-input-placeholder,
input[type="tel"]::-webkit-input-placeholder,
input[type="time"]::-webkit-input-placeholder,
input[type="month"]::-webkit-input-placeholder,
input[type="week"]::-webkit-input-placeholder,
input[type="url"]::-webkit-input-placeholder {
color: #145e86;
}
input[type="text"]:-ms-input-placeholder,
input[type="password"]:-ms-input-placeholder,
input[type^="date"]:-ms-input-placeholder,
input[type="email"]:-ms-input-placeholder,
input[type="number"]:-ms-input-placeholder,
input[type="search"]:-ms-input-placeholder,
input[type="tel"]:-ms-input-placeholder,
input[type="time"]:-ms-input-placeholder,
input[type="month"]:-ms-input-placeholder,
input[type="week"]:-ms-input-placeholder,
input[type="url"]:-ms-input-placeholder {
color: #145e86;
}
input[type="submit"],
input[type="button"],
input[type="reset"] {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: inline-block;
width: auto;
background: #184165;
color: #99c0c9;
cursor: pointer;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
}
input[type="submit"]:focus,
input[type="button"]:focus,
input[type="reset"]:focus {
border: 1px solid #99c0c9;
}
input[type="submit"]:not([disabled]):hover,
input[type="button"]:not([disabled]):hover,
input[type="reset"]:not([disabled]):hover {
border: 1px solid #99c0c9;
}
input[type="submit"]:active,
input[type="button"]:active,
input[type="reset"]:active {
background-color: #145e86;
}
input[type="submit"][disabled],
input[type="button"][disabled],
input[type="reset"][disabled] {
color: #145e86;
cursor: not-allowed;
}
input[type="color"] {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: block;
width: 100%;
line-height: calc(2em - 1px * 2 - (0.25em - 1px) * 2);
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
width: 6em;
}
input[type="color"]:focus {
border: 1px solid #99c0c9;
}
input[type="color"]::-moz-placeholder {
color: #145e86;
}
input[type="color"]::-webkit-input-placeholder {
color: #145e86;
}
input[type="color"]:-ms-input-placeholder {
color: #145e86;
}
input[type="color"]:hover {
border: 1px solid #99c0c9;
}
input[type="file"] {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: inline-block;
width: auto;
background: #184165;
color: #99c0c9;
cursor: pointer;
display: block;
width: 100%;
height: auto;
padding: 0.75em 0.5em;
font-size: 12px;
line-height: 1;
}
input[type="file"]:focus {
border: 1px solid #99c0c9;
}
input[type="file"]:not([disabled]):hover {
border: 1px solid #99c0c9;
}
input[type="file"]:active {
background-color: #145e86;
}
input[type="file"][disabled] {
color: #145e86;
cursor: not-allowed;
}
input[type="checkbox"],
input[type="radio"] {
margin: -0.2em 0.75em 0 0;
vertical-align: middle;
}
textarea {
outline: none;
box-sizing: border-box;
height: 2em;
margin: 0;
padding: calc(0.25em - 1px) 0.5em;
font-family: inherit;
font-size: 1em;
border: 1px solid #145e86;
border-radius: 2px;
background: #1b2d3e;
color: #99c0c9;
display: block;
width: 100%;
line-height: calc(2em - 1px * 2 - (0.25em - 1px) * 2);
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
height: 4.5em;
resize: vertical;
padding-top: 0.5em;
padding-bottom: 0.5em;
}
textarea:focus {
border: 1px solid #99c0c9;
}
textarea::-moz-placeholder {
color: #145e86;
}
textarea::-webkit-input-placeholder {
color: #145e86;
}
textarea:-ms-input-placeholder {
color: #145e86;
}
output {
display: block;
}
code,
kbd,
var,
samp {
font-family: Consolas, "Lucida Console", Monaco, monospace;
font-style: normal;
}
pre {
overflow-x: auto;
font-size: 0.8em;
background: linear-gradient(
rgba(153, 192, 201, 0.15) 0%,
rgba(153, 192, 201, 0.15) 100%
)
0 0,
linear-gradient(
rgba(153, 192, 201, 0.15) 0%,
rgba(153, 192, 201, 0.15) 100%
)
100% 0;
background-attachment: scroll, scroll;
background-size: 1px 100%, 1px 100%;
background-repeat: no-repeat, no-repeat;
}
pre > code {
display: inline-block;
overflow-x: visible;
box-sizing: border-box;
min-width: 100%;
border-right: 3px solid #1b2d3e;
border-left: 1px solid #1b2d3e;
}
hr {
height: 1px;
margin: 2em 0;
border: 0;
background: #184165;
}
details {
margin: 1em 0;
}
details[open] {
padding-bottom: 0.5em;
border-bottom: 1px solid #184165;
}
summary {
display: inline-block;
font-weight: 700;
border-bottom: 1px dashed;
cursor: pointer;
}
summary::-webkit-details-marker {
display: none;
}
noscript {
color: #a15433;
}
::selection {
background: rgba(21, 112, 171, 0.25);
}

View file

@ -1,9 +1,35 @@
<h1 id="model-classification-in-rocket-league-sideswipe">Model
classification in Rocket League Sideswipe</h1>
<p>Laurent Fainsin Damien Guillotin Pierre-Eliot Jourdan</p>
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<title>rapport</title>
<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
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<h1 id="classification-dans-rocket-league-sideswipe">Classification dans
Rocket League Sideswipe</h1>
Laurent Fainsin — Damien Guillotin — Pierre-Eliot Jourdan
</center>
<p>Lien vers notre <a
href="https://git.inpt.fr/tocard-inc/enseeiht/projet-classification">dépot
gitlab</a></p>
gitlab</a>.</p>
<p>Lien vers notre <a
href="https://fainsil.users.inpt.fr/content/DL/dataset.zip">dataset</a>.</p>
<h2 id="description">Description</h2>
<p>Le but de ce projet est de permettre la reconnaissance
(classification) de voitures dans le jeu vidéo mobile Rocket League
@ -11,36 +37,57 @@ Sideswipe, et ce peu importe les accessoires équipés tels que les roues,
les chapeaux, les stickers, les couleurs…</p>
<h2 id="méthodolgie-dacquisition-du-dataset">Méthodolgie dacquisition
du dataset</h2>
<p>Pour acquérir les 400 000 images de notre dataset, nous avons
<p>Pour acquérir les quelque 400 000 images de notre dataset, nous avons
simplement écrit un script capable dautomatiser la customisation des
modèles ainsi que la prise de screenshots. Il nous aura fallu environ 18
heures pour constituer notre dataset.</p>
<p>Notre dataset est un dossier contenant toutes nos images et une base
de données sqlite3 faisant le lien entre les noms de nos screenshots
(des uuids) et les paramètre de la voiture dans limage.</p>
(des uuids) et les paramètres de la voiture dans limage.</p>
<p>Par exemple <code>ec7d32da-ad24-11ec-813b-e0d4e8390134.jpg</code>
correspond au modèle de voiture 2 (la werewolf) à la team 0 (les bleus),
à la couleur primaire 50%, à la couleur secondaire 0%, au chapeau n°12
(<insérer nom chapeau>), au sticker n°1 (<insérer nom sticker>), à la
roue n°4 (<insérer nom roue>) et à la 3ème rotation.</p>
<p>Voici limage associée :</p>
(le Rasta), au sticker n°1 (le Kana), à la roue n°4 (lHelicoprion) et à
la 3ème rotation.</p>
<p>Voici limage associée:</p>
<p><img src="image_methodo.jpg" /></p>
<h2 id="méthodologie">Méthodologie</h2>
<ul class="incremental">
<li>Description de votre méthodologie pour partitionner les images en
ensembles dentraı̂nement, de validation et de test.</li>
</ul>
<p>-&gt; Voir la doc de tensorflow.</p>
<p>Nous pensons dans un premier temps fractionner notre dataset de la
manière suivante:</p>
<table>
<thead>
<tr class="header">
<th style="text-align: center;">Train</th>
<th style="text-align: center;">Test</th>
<th style="text-align: center;">Validation</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td style="text-align: center;">70%</td>
<td style="text-align: center;">15%</td>
<td style="text-align: center;">15%</td>
</tr>
</tbody>
</table>
<p>Nous utiliserons les méthodes fournies par Tensorflow pour split
notre dataset via ces proportions.</p>
<p>Notre objectif final serait dutiliser laugmentation pour obtenir
plus dun million dimages.</p>
<h2 id="pronostic">Pronostic</h2>
<p>Si lon décide dévaluer le réseau sur des voitures avec une rotation
qui est la même que lors de laquisition des données, le résultat
qui est la même que lors de lacquisition des données, le résultat
devrait être plus que correct mais si lon évalue le réseau sur une
rotation différente, cest la que les problèmes peuvent arriver, il se
peut que lon sur-apprenne la discretion de nos rotations.</p>
rotation différente, cest là que les problèmes peuvent arriver, il se
peut que lon sur-apprenne la discrétion de nos rotations.</p>
<h2 id="chargement-de-nos-données">Chargement de nos données</h2>
<ul class="incremental">
<li>Script de chargement de vos données.</li>
</ul>
<p>Comme nous possédons un grand nombre dimages et comme celles-ci sont
réliées via un csv/sqlite3, nous allons devoir utiliser une <a
href="https://www.tensorflow.org/tutorials/load_data/csv#using_tfdata">structure
spéciale</a> de Tensorflow pour charger les images via leur association
dans le csv/sqlite3, et aussi pour permettre de ne pas tout charger en
mémoire (car notre dataset sera très probablement de taille supérieur à
la RAM de nos machines).</p>
<h2 id="exemple-du-dataset">Exemple du dataset</h2>
<p><img src="demo_datas.gif" /></p>
<table>
@ -53,7 +100,7 @@ peut que lon sur-apprenne la discretion de nos rotations.</p>
</colgroup>
<thead>
<tr class="header">
<th style="text-align: left;">Rotation</th>
<th style="text-align: center;">Rotation</th>
<th style="text-align: center;">Octane</th>
<th style="text-align: center;">AfterShock</th>
<th style="text-align: center;">Werewolf</th>
@ -62,70 +109,70 @@ peut que lon sur-apprenne la discretion de nos rotations.</p>
</thead>
<tbody>
<tr class="odd">
<td style="text-align: left;">0</td>
<td style="text-align: center;">0</td>
<td style="text-align: center;"><img src="demo_datas/0_0.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_0.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_0.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_0.jpg" /></td>
</tr>
<tr class="even">
<td style="text-align: left;">1</td>
<td style="text-align: center;">1</td>
<td style="text-align: center;"><img src="demo_datas/0_1.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_1.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_1.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_1.jpg" /></td>
</tr>
<tr class="odd">
<td style="text-align: left;">2</td>
<td style="text-align: center;">2</td>
<td style="text-align: center;"><img src="demo_datas/0_2.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_2.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_2.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_2.jpg" /></td>
</tr>
<tr class="even">
<td style="text-align: left;">3</td>
<td style="text-align: center;">3</td>
<td style="text-align: center;"><img src="demo_datas/0_3.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_3.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_3.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_3.jpg" /></td>
</tr>
<tr class="odd">
<td style="text-align: left;">4</td>
<td style="text-align: center;">4</td>
<td style="text-align: center;"><img src="demo_datas/0_4.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_4.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_4.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_4.jpg" /></td>
</tr>
<tr class="even">
<td style="text-align: left;">5</td>
<td style="text-align: center;">5</td>
<td style="text-align: center;"><img src="demo_datas/0_5.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_5.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_5.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_5.jpg" /></td>
</tr>
<tr class="odd">
<td style="text-align: left;">6</td>
<td style="text-align: center;">6</td>
<td style="text-align: center;"><img src="demo_datas/0_6.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_6.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_6.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_6.jpg" /></td>
</tr>
<tr class="even">
<td style="text-align: left;">7</td>
<td style="text-align: center;">7</td>
<td style="text-align: center;"><img src="demo_datas/0_7.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_7.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_7.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_7.jpg" /></td>
</tr>
<tr class="odd">
<td style="text-align: left;">8</td>
<td style="text-align: center;">8</td>
<td style="text-align: center;"><img src="demo_datas/0_8.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_8.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_8.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/3_8.jpg" /></td>
</tr>
<tr class="even">
<td style="text-align: left;">9</td>
<td style="text-align: center;">9</td>
<td style="text-align: center;"><img src="demo_datas/0_9.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/1_9.jpg" /></td>
<td style="text-align: center;"><img src="demo_datas/2_9.jpg" /></td>
@ -133,3 +180,5 @@ peut que lon sur-apprenne la discretion de nos rotations.</p>
</tr>
</tbody>
</table>
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@ -1,10 +1,15 @@
<center>
# Classification dans Rocket League Sideswipe
Laurent Fainsin &mdash;
Damien Guillotin &mdash;
Pierre-Eliot Jourdan
</center>
Lien vers notre [dépot gitlab](https://git.inpt.fr/tocard-inc/enseeiht/projet-classification)
Lien vers notre [dépot gitlab](https://git.inpt.fr/tocard-inc/enseeiht/projet-classification).
Lien vers notre [dataset](https://fainsil.users.inpt.fr/content/DL/dataset.zip).
## Description