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50 lines
1.6 KiB
50 lines
1.6 KiB
# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
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FROM nvcr.io/nvidia/pytorch:20.03-py3
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RUN pip install -U gsutil
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# Create working directory
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RUN mkdir -p /usr/src/app
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WORKDIR /usr/src/app
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# Copy contents
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COPY . /usr/src/app
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# Install dependencies (pip or conda)
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#RUN pip install -r requirements.txt
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# Copy weights
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#RUN python3 -c "from models import *; \
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#attempt_download('weights/yolov5s.pt'); \
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#attempt_download('weights/yolov5m.pt'); \
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#attempt_download('weights/yolov5l.pt')"
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# --------------------------------------------------- Extras Below ---------------------------------------------------
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# Build and Push
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# t=ultralytics/yolov5:latest && sudo docker build -t $t . && sudo docker push $t
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# Pull and Run
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host $t
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# Pull and Run with local directory access
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/coco:/usr/src/coco $t
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# Kill all
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# sudo docker kill "$(sudo docker ps -q)"
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# Kill all image-based
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# sudo docker kill $(sudo docker ps -a -q --filter ancestor=ultralytics/yolov5:latest)
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# Bash into running container
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# sudo docker container exec -it ba65811811ab bash
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# Bash into stopped container
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# sudo docker commit 092b16b25c5b usr/resume && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco --entrypoint=sh usr/resume
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# Send weights to GCP
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# python -c "from utils.utils import *; create_pretrained('path/last.pt')" && gsutil cp weights/pretrained.pt gs://*
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# Clean up
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# docker system prune -a --volumes
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