41 lines
2.2 KiB
Bash
Executable File
41 lines
2.2 KiB
Bash
Executable File
#!/usr/bin/env bash
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# New VM
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rm -rf sample_data yolov3
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git clone https://github.com/ultralytics/yolov3
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# git clone -b test --depth 1 https://github.com/ultralytics/yolov3 test # branch
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# sudo apt-get install zip
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#git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex
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sudo conda install -yc conda-forge scikit-image pycocotools
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# python3 -c "from yolov3.utils.google_utils import gdrive_download; gdrive_download('193Zp_ye-3qXMonR1nZj3YyxMtQkMy50k','coco2014.zip')"
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python3 -c "from yolov3.utils.google_utils import gdrive_download; gdrive_download('1WQT6SOktSe8Uw6r10-2JhbEhMY5DJaph','coco2017.zip')"
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python3 -c "from yolov3.utils.google_utils import gdrive_download; gdrive_download('1C3HewOG9akA3y456SZLBJZfNDPkBwAto','knife.zip')"
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python3 -c "from yolov3.utils.google_utils import gdrive_download; gdrive_download('13g3LqdpkNE8sPosVJT6KFXlfoMypzRP4','sm4.zip')"
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sudo shutdown
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# Mount local SSD
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lsblk
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sudo mkfs.ext4 -F /dev/nvme0n1
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sudo mkdir -p /mnt/disks/nvme0n1
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sudo mount /dev/nvme0n1 /mnt/disks/nvme0n1
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sudo chmod a+w /mnt/disks/nvme0n1
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cp -r coco /mnt/disks/nvme0n1
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# Kill All
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t=ultralytics/yolov3:v1
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docker kill $(docker ps -a -q --filter ancestor=$t)
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# Evolve coco
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sudo -s
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t=ultralytics/yolov3:evolve
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# docker kill $(docker ps -a -q --filter ancestor=$t)
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for i in 0 1 6 7
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do
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docker pull $t && docker run --gpus all -d --ipc=host -v "$(pwd)"/coco:/usr/src/coco $t bash utils/evolve.sh $i
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sleep 30
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done
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#COCO training
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n=131 && t=ultralytics/coco:v131 && sudo docker pull $t && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco $t python3 train.py --data coco2014.data --img-size 320 640 --epochs 300 --batch 16 --accum 4 --weights '' --device 0 --cfg yolov3-spp.cfg --nosave --bucket ult/coco --name $n && sudo shutdown
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n=132 && t=ultralytics/coco:v131 && sudo docker pull $t && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco $t python3 train.py --data coco2014.data --img-size 320 640 --epochs 300 --batch 64 --accum 1 --weights '' --device 0 --cfg yolov3-tiny.cfg --nosave --bucket ult/coco --name $n && sudo shutdown
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