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https://github.com/abrarzahin247/yolov5_pruned

https://github.com/abrarzahin247/yolov5_pruned

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: AbrarZahin247
  • Language: Python
  • Default Branch: master
  • Size: 1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

readme.md

YOLov5 Pruned Model

This repository is developed with inspiration from the YOLov5 Pruning repository. It is based on the latest pull from the Ultralytics YOLov5 repository.

Pruning Process

This project implements channel pruning on YOLov5 models using techniques from the research paper "Learning Efficient Convolutional Networks Through Network Slimming". This method allows for more efficient and lightweight models by slimming down the network while maintaining performance.

Owner

  • Name: Root247
  • Login: AbrarZahin247
  • Kind: user

GitHub Events

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Last synced: 6 months ago

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  • Total issues: 0
  • Total pull requests: 7
  • Average time to close issues: N/A
  • Average time to close pull requests: 16 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.43
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 0
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: 7 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.5
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 4
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Dependencies

.github/workflows/ci-testing.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • slackapi/slack-github-action v1.26.0 composite
.github/workflows/cla.yml actions
  • contributor-assistant/github-action v2.4.0 composite
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v4 composite
  • github/codeql-action/analyze v3 composite
  • github/codeql-action/autobuild v3 composite
  • github/codeql-action/init v3 composite
.github/workflows/docker.yml actions
  • actions/checkout v4 composite
  • docker/build-push-action v6 composite
  • docker/login-action v3 composite
  • docker/setup-buildx-action v3 composite
  • docker/setup-qemu-action v3 composite
.github/workflows/format.yml actions
  • ultralytics/actions main composite
.github/workflows/greetings.yml actions
  • actions/first-interaction v1 composite
.github/workflows/links.yml actions
  • actions/checkout v4 composite
  • nick-invision/retry v3 composite
.github/workflows/merge-main-into-prs.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/stale.yml actions
  • actions/stale v9 composite
utils/docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
requirements.txt pypi
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • pillow >=10.3.0
  • psutil *
  • requests >=2.32.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=70.0.0
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.64.0
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1
  • zipp >=3.19.1