yolov5-ios
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: monchewharry
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 14.9 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
YOLOv5 for iOS app hockey puck's detection training
This forked repo is customized for my iOS app's model training. We use the object detection model to capture the movement of the hockey puck in the live camera.
Mimic detect.py details for .mlpackage --nms
hockeypuck.yamltest_image.pytest_video.py
Train
on m-chip macOS
```bash conda activate hockeypuck python -c "import torch; print(torch.version); print(torch.backends.mps.is_available())"
python train.py --img 640 --batch 16 --epochs 50 --data ./project/yaml/hockey.yaml --weights yolov5s.pt --cache --device mps ```
Export
Export the model as .mlpackage that fits the CoreML to Vision package.
bash
python export.py --weights runs/train/exp/weights/best.pt --include "coreml" --nms
Documentation
See the YOLOv5 Docs for full documentation on training, testing and deployment. See below for quickstart examples.
Install
Clone repo and install [requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) in a [**Python>=3.8.0**](https://www.python.org/) environment, including [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/). ```bash git clone https://github.com/ultralytics/yolov5 # clone cd yolov5 pip install -r requirements.txt # install ```Owner
- Name: Davis Cao
- Login: monchewharry
- Kind: user
- Location: Arlington, VA
- Repositories: 3
- Profile: https://github.com/monchewharry
i am not a coder, i am a statistician.
GitHub Events
Total
- Watch event: 1
- Issue comment event: 2
- Public event: 1
- Push event: 2
- Pull request event: 1
- Create event: 1
Last Year
- Watch event: 1
- Issue comment event: 2
- Public event: 1
- Push event: 2
- Pull request event: 1
- Create event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 2.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 2.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
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Dependencies
- actions/checkout v4 composite
- actions/setup-python v5 composite
- slackapi/slack-github-action v1.27.0 composite
- contributor-assistant/github-action v2.5.1 composite
- actions/checkout v4 composite
- github/codeql-action/analyze v3 composite
- github/codeql-action/autobuild v3 composite
- github/codeql-action/init v3 composite
- 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
- ultralytics/actions main composite
- actions/checkout v4 composite
- nick-invision/retry v3 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/stale v9 composite
- pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
- gcr.io/google-appengine/python latest build
- matplotlib >=3.3.0
- numpy >=1.22.2
- opencv-python >=4.6.0
- pandas >=1.1.4
- pillow >=7.1.2
- psutil *
- py-cpuinfo *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- thop >=0.1.1
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics >=8.1.47
- 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 >=2.32.2
- scipy >=1.4.1
- seaborn >=0.11.0
- setuptools >=70.0.0
- thop >=0.1.1
- torchvision >=0.9.0
- tqdm >=4.66.3
- Flask ==2.3.2
- gunicorn ==22.0.0
- pip ==23.3
- werkzeug >=3.0.1
- zipp >=3.19.1