54 lines
1.8 KiB
Bash
Executable File
54 lines
1.8 KiB
Bash
Executable File
#!/usr/bin/env bash
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# New VM
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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bash yolov3/data/get_coco_dataset.sh
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bash yolov3/weights/download_yolov3_weights.sh
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sudo rm -rf cocoapi && git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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sudo shutdown
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# Train
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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cp -r weights yolov3
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cd yolov3 && python3 train.py --batch-size 48 --epochs 1
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sudo shutdown
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# Resume
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python3 train.py --resume
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# Detect
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python3 detect.py
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# Clone a branch
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sudo rm -rf yolov3 && git clone -b multi_gpu --depth 1 https://github.com/ultralytics/yolov3
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cp -r weights yolov3
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cd yolov3 && python3 train.py --batch-size 48 --epochs 1
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sudo shutdown
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# Git pull branch
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git pull https://github.com/ultralytics/yolov3 multi_gpu
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# Test
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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sudo rm -rf cocoapi && git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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cd yolov3 && python3 test.py --save-json --conf-thres 0.001 --img-size 416
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# Test Darknet training
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python3 test.py --img_size 416 --weights ../darknet/backup/yolov3.backup
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# Download with wget
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wget https://storage.googleapis.com/ultralytics/yolov3.pt -O weights/latest.pt
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# Copy latest.pt to bucket
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gsutil cp yolov3/weights/latest1gpu.pt gs://ultralytics
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# Copy latest.pt from bucket
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gsutil cp gs://ultralytics/latest.pt yolov3/weights/latest.pt
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wget https://storage.googleapis.com/ultralytics/latest.pt
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# Trade Studies
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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cp -r weights yolov3
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cd yolov3 && python3 train.py --batch-size 16 --epochs 1
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sudo shutdown
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