Remove `/weights` directory (#3659)
* Remove `/weights` directory * cleanup
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@ -64,15 +64,15 @@ jobs:
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di=cpu # inference devices # define device
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di=cpu # inference devices # define device
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# train
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# train
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python train.py --img 128 --batch 16 --weights weights/${{ matrix.model }}.pt --cfg models/${{ matrix.model }}.yaml --epochs 1 --device $di
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python train.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --cfg ${{ matrix.model }}.yaml --epochs 1 --device $di
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# detect
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# detect
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python detect.py --weights weights/${{ matrix.model }}.pt --device $di
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python detect.py --weights ${{ matrix.model }}.pt --device $di
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python detect.py --weights runs/train/exp/weights/last.pt --device $di
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python detect.py --weights runs/train/exp/weights/last.pt --device $di
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# test
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# test
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python test.py --img 128 --batch 16 --weights weights/${{ matrix.model }}.pt --device $di
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python test.py --img 128 --batch 16 --weights ${{ matrix.model }}.pt --device $di
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python test.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device $di
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python test.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device $di
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python hubconf.py # hub
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python hubconf.py # hub
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python models/yolo.py --cfg models/${{ matrix.model }}.yaml # inspect
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python models/yolo.py --cfg ${{ matrix.model }}.yaml # inspect
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python models/export.py --img 128 --batch 1 --weights weights/${{ matrix.model }}.pt # export
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python models/export.py --img 128 --batch 1 --weights ${{ matrix.model }}.pt # export
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shell: bash
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shell: bash
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@ -46,8 +46,5 @@ ENV HOME=/usr/src/app
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# Bash into stopped container
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# Bash into stopped container
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# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
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# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
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# Send weights to GCP
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# python -c "from utils.general import *; strip_optimizer('runs/train/exp0_*/weights/best.pt', 'tmp.pt')" && gsutil cp tmp.pt gs://*.pt
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# Clean up
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# Clean up
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# docker system prune -a --volumes
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# docker system prune -a --volumes
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@ -63,8 +63,8 @@ def detect(weights='yolov5s.pt', # model.pt path(s)
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# Second-stage classifier
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# Second-stage classifier
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classify = False
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classify = False
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if classify:
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if classify:
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modelc = load_classifier(name='resnet101', n=2) # initialize
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modelc = load_classifier(name='resnet50', n=2) # initialize
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modelc.load_state_dict(torch.load('weights/resnet101.pt', map_location=device)['model']).to(device).eval()
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modelc.load_state_dict(torch.load('resnet50.pt', map_location=device)['model']).to(device).eval()
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# Set Dataloader
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# Set Dataloader
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vid_path, vid_writer = None, None
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vid_path, vid_writer = None, None
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