updates
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test.py
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test.py
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@ -43,7 +43,7 @@ def test(
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# Dataloader
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# Dataloader
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dataset = LoadImagesAndLabels(test_path, img_size=img_size)
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dataset = LoadImagesAndLabels(test_path, img_size=img_size)
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dataloader = DataLoader(dataset, batch_size=batch_size, num_workers=0)
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dataloader = DataLoader(dataset, batch_size=batch_size, num_workers=4)
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mean_mAP, mean_R, mean_P, seen = 0.0, 0.0, 0.0, 0
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mean_mAP, mean_R, mean_P, seen = 0.0, 0.0, 0.0, 0
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print('%11s' * 5 % ('Image', 'Total', 'P', 'R', 'mAP'))
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print('%11s' * 5 % ('Image', 'Total', 'P', 'R', 'mAP'))
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27
utils/gcp.sh
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utils/gcp.sh
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@ -6,7 +6,7 @@ bash yolov3/data/get_coco_dataset.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 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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sudo shutdown
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# Start
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# Train
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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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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cp -r weights yolov3
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cd yolov3 && python3 train.py --batch-size 16 --epochs 1
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cd yolov3 && python3 train.py --batch-size 16 --epochs 1
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@ -16,30 +16,21 @@ sudo shutdown
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python3 train.py --resume
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python3 train.py --resume
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# Detect
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# Detect
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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python3 detect.py
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cd yolov3 && python3 detect.py
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# Clone branch
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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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sudo rm -rf yolov3 && git clone -b multi_gpu --depth 1 https://github.com/ultralytics/yolov3
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cd yolov3 && python3 train.py --batch-size 26
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sudo rm -rf yolov3 && git clone -b multigpu --depth 1 https://github.com/alexpolichroniadis/yolov3
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cp coco.data yolov3/cfg
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cd yolov3 && python3 train.py --batch-size 26
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# Test
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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 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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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 0.005
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cd yolov3 && python3 test.py --save-json --conf-thres 0.005
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# Test Darknet
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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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python3 test.py --img_size 416 --weights ../darknet/backup/yolov3.backup
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# Download and Resume
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# Download with wget
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3
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wget https://storage.googleapis.com/ultralytics/yolov3.pt -O weights/latest.pt
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wget https://storage.googleapis.com/ultralytics/yolov3.pt -O weights/latest.pt
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python3 train.py --img_size 416 --batch_size 16 --epochs 1 --resume
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python3 test.py --img_size 416 --weights weights/latest.pt --conf_thres 0.5
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# Copy latest.pt to bucket
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# Copy latest.pt to bucket
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gsutil cp yolov3/weights/latest.pt gs://ultralytics
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gsutil cp yolov3/weights/latest.pt gs://ultralytics
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@ -48,8 +39,8 @@ gsutil cp yolov3/weights/latest.pt gs://ultralytics
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gsutil cp gs://ultralytics/latest.pt yolov3/weights/latest.pt
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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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wget https://storage.googleapis.com/ultralytics/latest.pt
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# Testing
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# Trade Studies
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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python3 train.py --epochs 3 --var 64
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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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sudo shutdown
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