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GCP Quickstart
Glenn Jocher edited this page Mar 25, 2019
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Select a PyTorch >=1.0 image from the GCP marketplace, check 'install GPU driver automatically', and select a 100 GB SSD for sufficient I/O speed. All dependencies are included in the preinstalled Anaconda distribution.
Clone repo, download COCO, install pycocotools (optional).
git clone https://github.com/ultralytics/yolov3
bash yolov3/data/get_coco_dataset.sh
git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
cd yolov3
and:
- Train: python3 train.py
- Test: python3 test.py
- Detect: python3 detect.py
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