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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong

About

Fast object detector - Active Deformable Part Models

dreamdragon.github.io/ADPM/

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
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Readme
MIT license
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2 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
Resources
Readme
MIT license
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2 watching
Forks
11 forks
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, '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
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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
Resources
Readme
MIT license
Activity
Stars
11 stars
Watchers
2 watching
Forks
11 forks
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");
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
Resources
Readme
MIT license
Activity
Stars
11 stars
Watchers
2 watching
Forks
11 forks
Report repository
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, '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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
Resources
Readme
MIT license
Activity
Stars
11 stars
Watchers
2 watching
Forks
11 forks
Report repository
Releases
Packages
Contributors
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, '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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
About
Fast object detector - Active Deformable Part Models
dreamdragon.github.io/ADPM/
Resources
Readme
MIT license
Activity
Stars
11 stars
Watchers
2 watching
Forks
11 forks
Report repository
Releases
Packages
Contributors
Languages

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========================================================
Active Deformable Part Models
========================================================
AUTORIGHTS
-------------------------------------------------------
Copyright (C) 2013-2014 Menglong Zhu, Nikolay Atanasov,
Samarth Brahmbhatt
This file is part of the Active Deformable Part Models code (http://cis.upenn.edu/~menglong/adpm.html)
and is available under the terms of an MIT-like license
provided in COPYING. Please retain this notice and
COPYING if you use this file (or a portion of it) in
your project.
If you are using the code, please cite the followings:
Active Deformable Part Models Inference, Menglong Zhu, Nikolay Atanasov, George Pappas and Kostas Daniilidis, European Conference on Computer Vision (ECCV) 2014.
Active Deformable Part Models, Menglong Zhu, Nikolay Atanasov, George J. Pappas and Kostas Daniilidis, arXiv:
1404.0334 [cs.CV]
-------------------------------------------------------
------- Demo ------------------------------------------
To run the demo, simply run the following in MATLAB:
>> demo_pca_policy
The code assumes mex is setup in the system. If not,
the pre-compiled Linux 64-bit and MacOSX 64-bit mex binaries are provided under ./bin folder.
(Note: You can comment out 'pca_policy_compile;'
at line 21 in demo_pca_policy.m, if having trouble compiling the code on your Linux/Mac system.) The demo will show the top ADPM detection of person and car in the example images.
------- API -------------------------------------------
Standalone API for detecting a class of object is provided as the following function call:
>> ds = detect_object(image_file, object_class, display)
where the input/output arguments are
image_file: image file path object_class: object class name
display: boolean flag of displaying top detection ds: detecting bounding boxes with scores
------- Models ----------------------------------------
Original VOC DPM models and learned policies are
contained in ./models.
Currently, person and car models are provided. More
PASCAL VOC models will be available soon.
------- Source Code -----------------------------------
Our implementation is based on the publicly available original DPM and Cascade-DPM code.
Main source code is in ./src and ./mex folder. The main detection process is implemented in ./mex/detect_pca_policy.cc
Files under ./external are a subset of publicly available DPM code, refer to ./external/README
for copyright.
------- Contact --------------------------------------
Please direct all questions to:
Menglong Zhu <menglong@cis.upenn.edu>
http://cis.upenn.edu/~menglong
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Fast object detector - Active Deformable Part Models
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