BranchesTags

Repository files navigation

⛵ Ship of Theseus

The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same. — Plutarch, Theseus

📝 Instructions

Installation

  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.

To adapt for personal project

  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file

See theseus/cv/classification for example

To execute scripts with arguments

  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.

Example:

python train.py \
--config-dir configs \
--config-name pipeline.yaml
  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag

🎒 Resources

  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook

📘 References

About

General template for most Pytorch projects

Topics

classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate

Resources

Readme
MIT license
Activity

Stars

36 stars

Watchers

2 watching

Forks

4 forks
Report repository

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
 ⛵ Ship of Theseus 
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
📝 Instructions
Installation
  • Create virtual environment: conda create -n myenv python=3.10
  • Install Pytorch. Currently support torch==1.13.1
  • Inside your project, install this package by git+https://github.com/kaylode/theseus.git@master#egg=theseus[cv,cv.classification,cv.detection,cv.semantic]extra packages can be identified from the pyproject.toml.
To adapt for personal project
  1. Create your own dataset, dataloader, model, loss function, metric function, ... and register it to the registry so that it can be generated from config at runtime.
  2. Customize inherited trainer and pipeline to your need, such as what to do before/after training/validating step,...
  3. Write custom callbacks (recommended!), follow Lightning
  4. Modify configuration file
See theseus/cv/classification for example
To execute scripts with arguments
  • Run the script with --config-dir flag with a specified config folder that contains the yaml file. And --config-name is that file's name.
Example:
python train.py \
--config-dir configs \
--config-name pipeline.yaml

  • To override arguments inside the .yaml file, follow the instructions from Hydra. For example, to train 50 epochs and resume training from checkpoints:
python train.py \
--config-dir configs \
--config-name pipeline.yaml \
trainer.args.max_epochs=5000 \
global.resume=checkpoint.pth

Notice: There are no spaces between keys and values in -o flag
🎒 Resources
  • Example colab notebooks for classification tasks: Notebook
  • Example colab notebooks for semantic segmentation tasks: Notebook
📘 References
About
General template for most Pytorch projects
Topics
classificationcomputer-visionnatural-language-processingobject-detectionpytorchsegmentationstructured-datatemplate
Resources
Readme
MIT license
Activity
Stars
36 stars
Watchers
2 watching
Forks
4 forks
Report repository
Releases
Used by
Contributors
Languages