CARVIEW |
Select Language
HTTP/2 200
date: Thu, 24 Jul 2025 11:41:40 GMT
content-type: text/html; charset=utf-8
vary: X-PJAX, X-PJAX-Container, Turbo-Visit, Turbo-Frame, X-Requested-With,Accept-Encoding, Accept, X-Requested-With
etag: W/"f30ff5fff1be5b57ed35b8a4d93d78a2"
cache-control: max-age=0, private, must-revalidate
strict-transport-security: max-age=31536000; includeSubdomains; preload
x-frame-options: deny
x-content-type-options: nosniff
x-xss-protection: 0
referrer-policy: no-referrer-when-downgrade
content-security-policy: default-src 'none'; base-uri 'self'; child-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/; connect-src 'self' uploads.github.com www.githubstatus.com collector.github.com raw.githubusercontent.com api.github.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com *.rel.tunnels.api.visualstudio.com wss://*.rel.tunnels.api.visualstudio.com objects-origin.githubusercontent.com copilot-proxy.githubusercontent.com proxy.individual.githubcopilot.com proxy.business.githubcopilot.com proxy.enterprise.githubcopilot.com *.actions.githubusercontent.com wss://*.actions.githubusercontent.com productionresultssa0.blob.core.windows.net/ productionresultssa1.blob.core.windows.net/ productionresultssa2.blob.core.windows.net/ productionresultssa3.blob.core.windows.net/ productionresultssa4.blob.core.windows.net/ productionresultssa5.blob.core.windows.net/ productionresultssa6.blob.core.windows.net/ productionresultssa7.blob.core.windows.net/ productionresultssa8.blob.core.windows.net/ productionresultssa9.blob.core.windows.net/ productionresultssa10.blob.core.windows.net/ productionresultssa11.blob.core.windows.net/ productionresultssa12.blob.core.windows.net/ productionresultssa13.blob.core.windows.net/ productionresultssa14.blob.core.windows.net/ productionresultssa15.blob.core.windows.net/ productionresultssa16.blob.core.windows.net/ productionresultssa17.blob.core.windows.net/ productionresultssa18.blob.core.windows.net/ productionresultssa19.blob.core.windows.net/ github-production-repository-image-32fea6.s3.amazonaws.com github-production-release-asset-2e65be.s3.amazonaws.com insights.github.com wss://alive.github.com api.githubcopilot.com api.individual.githubcopilot.com api.business.githubcopilot.com api.enterprise.githubcopilot.com; font-src github.githubassets.com; form-action 'self' github.com gist.github.com copilot-workspace.githubnext.com objects-origin.githubusercontent.com; frame-ancestors 'none'; frame-src viewscreen.githubusercontent.com notebooks.githubusercontent.com; img-src 'self' data: blob: github.githubassets.com media.githubusercontent.com camo.githubusercontent.com identicons.github.com avatars.githubusercontent.com private-avatars.githubusercontent.com github-cloud.s3.amazonaws.com objects.githubusercontent.com release-assets.githubusercontent.com secured-user-images.githubusercontent.com/ user-images.githubusercontent.com/ private-user-images.githubusercontent.com opengraph.githubassets.com copilotprodattachments.blob.core.windows.net/github-production-copilot-attachments/ github-production-user-asset-6210df.s3.amazonaws.com customer-stories-feed.github.com spotlights-feed.github.com objects-origin.githubusercontent.com *.githubusercontent.com; manifest-src 'self'; media-src github.com user-images.githubusercontent.com/ secured-user-images.githubusercontent.com/ private-user-images.githubusercontent.com github-production-user-asset-6210df.s3.amazonaws.com gist.github.com; script-src github.githubassets.com; style-src 'unsafe-inline' github.githubassets.com; upgrade-insecure-requests; worker-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/
server: github.com
content-encoding: gzip
accept-ranges: bytes
set-cookie: _gh_sess=icTyu2P0gTMpMiOOXSFpMkd%2B5LexEg61UQTU%2Bw%2BhswMt2v3Rnt%2F5VlxBMo6niLw9iamHb%2BHxWrqwDKY0Qgh31VL12Aop5dvubqrpyHoU8CUYiC1azEhlYjyaU0fEJGmKH5kPWdkmOX3dfwQqOOkZWF427FNXUPskwO9XgNxPtu1VPIlKuH4C91XEFJjQ2zhZu%2Bpelpvh6eQHO1t7bcnpOHae54nz8zZiaT%2B5niZ7%2F5qYW10%2F1yAYLZrykq1jfme61Hkx0AzFuJSHP%2FI24gnX4Q%3D%3D--u2cnAlIFeVgLfjsd--h%2B0UXUSGlzerZWyGBxxMWA%3D%3D; Path=/; HttpOnly; Secure; SameSite=Lax
set-cookie: _octo=GH1.1.277038163.1753357300; Path=/; Domain=github.com; Expires=Fri, 24 Jul 2026 11:41:40 GMT; Secure; SameSite=Lax
set-cookie: logged_in=no; Path=/; Domain=github.com; Expires=Fri, 24 Jul 2026 11:41:40 GMT; HttpOnly; Secure; SameSite=Lax
x-github-request-id: 9EB8:23E99C:92E7F4:AD08FD:68821BF4
GitHub - hertasecurity/gpu-nms: This repository contains the CUDA implementation of the paper "Work-efficient Parallel Non-Maximum Suppression Kernels".
Skip to content
Navigation Menu
{{ message }}
-
Notifications
You must be signed in to change notification settings - Fork 4
This repository contains the CUDA implementation of the paper "Work-efficient Parallel Non-Maximum Suppression Kernels".
License
hertasecurity/gpu-nms
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
=================================================================================== NMS Benchmarking Framework =================================================================================== CUDA implementation of the algorithm described in the paper: "Work-Efficient Parallel Non-Maximum Suppression Kernels" https://dx.doi.org/10.1093/comjnl/bxaa108 The Computer Journal David Oro, Carles Fernández, Xavier Martorell, Javier Hernando =================================================================================== * Requirements: 1. GCC Compiler v5.0 or greater 2. CUDA Toolkit v6.0 or greater 3. NVIDIA GPU with Compute Capability 3.2 or greater * Build instructions: 1. Set the GPU_ARCH and SM_ARCH variables in the Makefile according to the underlying NVIDIA GPU architecture of your computer. For further details, please refer to our GitHub Wiki page: https://github.com/hertasecurity/gpu-nms/wiki 2. Set your CUDA installation path in the Makefile (CUDA_HEADERS and CUDA_LIBS variables) 3. Compile the source code: make * Execution: * You can run the GPU NMS benchmark using a comma-separated input file containing the list of detected objects in the following format: xcoordinate,ycoordinate,width,score * We provide a sample input file "detections.txt" obtained after having executed a face detector over the "oscars.png" file. * The GPU NMS benchmark must be executed as follows: ./nmstest detections.txt output.txt * The application should then return the computation time of both the MAP and REDUCE GPU NMS kernels and write the results in the "output.txt" file. * Finally, you can visualize both the input (pre-NMS) and the output (post-NMS) with the "drawrectangles" Python script. For example: ./drawrectangles detections.txt Or: ./drawrectangles output.txt The graphical output is stored in the "oscarsdets.png" file * IMPORTANT: * The source code must be compiled to the microarchitecture matching the GPU platform during execution (check GPU_ARCH and SM_ARCH variables in the Makefile). * If the NMS algorithm is not capable of properly merging the candidate windows, re-check the GPU_ARCH and SM_ARCH variables and then recompile the code. * This GPU NMS benchmark is limited to a maximum of 4096 detected objects per input. If you want to increase this limit, please modify the MAX_DETECTIONS constant in the "nms.cu" file.
About
This repository contains the CUDA implementation of the paper "Work-efficient Parallel Non-Maximum Suppression Kernels".
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
You can’t perform that action at this time.