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MMDetection

This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.

Project is based on open-mmlab's MMDetection.

Installation

Please refer to install.md for installation and dataset preparation.

Get Started

Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.

Models compression

This project allows making compression of the models by NNCF framework.

See details in nncf_compression.md.

Model Zoo

Please see model_zoo.md for the list of pre-trained models.

Contributing

We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.

Contact

This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).

About

OpenVINO Training Extensions Object Detection

github.com/opencv/openvino_training_extensions

Topics

atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd

Resources

Readme
License

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy
Activity
Custom properties

Stars

93 stars

Watchers

1 watching

Forks

30 forks
Report repository

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Used by

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, '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" + '

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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
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License
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, '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('^' + ".*" + '

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This repository was archived by the owner on Apr 17, 2023. It is now read-only.

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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
93 stars
Watchers
1 watching
Forks
30 forks
Report repository
Releases
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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('^' + ".*" + '

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This repository was archived by the owner on Apr 17, 2023. It is now read-only.

BranchesTags
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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
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Stars
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1 watching
Forks
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Report repository
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, '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

This repository was archived by the owner on Apr 17, 2023. It is now read-only.

BranchesTags
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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
93 stars
Watchers
1 watching
Forks
30 forks
Report repository
Releases
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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

This repository was archived by the owner on Apr 17, 2023. It is now read-only.

BranchesTags
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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
93 stars
Watchers
1 watching
Forks
30 forks
Report repository
Releases
Packages
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

This repository was archived by the owner on Apr 17, 2023. It is now read-only.

BranchesTags
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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
93 stars
Watchers
1 watching
Forks
30 forks
Report repository
Releases
Packages
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); }
})();
})();

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MMDetection
This is an Object Detection and Instance Segmentation toolbox, that is a part of OpenVINO™ Training Extensions.
Project is based on open-mmlab's MMDetection.
Installation
Please refer to install.md for installation and dataset preparation.
Get Started
Please see getting_started.md for the basic usage. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
Models compression
This project allows making compression of the models by NNCF framework.
See details in nncf_compression.md.
Model Zoo
Please see model_zoo.md for the list of pre-trained models.
Contributing
We appreciate all contributions to improve this project. Please refer to CONTRIBUTING.md for the contributing guideline.
Contact
This repo is currently maintained by Ilya Krylov (@Ilya-Krylov), Pavel Druzhkov (@druzhkov-paul) and Dmitry Sidnev (@DmitriySidnev).
About
OpenVINO Training Extensions Object Detection
github.com/opencv/openvino_training_extensions
Topics
atsscascade-rcnncompressioncomputer-visiondeep-learningfaster-rcnnfcosinstance-segmentationmask-rcnnnncfobject-detectiononnxonnxruntimeopenvinopytorchquantization-aware-trainingretinanetsparsityssd
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
93 stars
Watchers
1 watching
Forks
30 forks
Report repository
Releases
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Used by
Contributors
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