65 lines
1.3 KiB
Bash
65 lines
1.3 KiB
Bash
set -e
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if [ -f .env ]; then
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source .env
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fi
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if [ -z ${1} ]; then
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echo "Please provide a JSON object"
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exit 1
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fi
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function fail () {
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ID="${1}"
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META=${2}
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URL="${YOLO_WEB_URL}/job/fail/${ID}"
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echo "${META}"
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curl -s -X POST \
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-H 'Content-Type: application/json' \
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-d "{\"meta\":\"${META}\"}" "${URL}"
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}
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JSON="${1}"
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ID=$(echo $JSON | jq -r '.id')
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DATASET=$(echo $JSON | jq -r '.dataset')
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MODEL=$(echo $JSON | jq -r '.model')
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NAME=$(echo $JSON | jq -r '.name')
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FILEPATH=$(echo $JSON | jq -r '.path')
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DOWNLOAD="${YOLO_WEB_URL}${FILEPATH}"
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DEST="${YOLOv5}${DATASET}.zip"
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UNZIPPED="${YOLOv5}${DATASET}"
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echo "Downloading ${DOWNLOAD}"
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if [ ! -f "${DEST}" ]; then
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wget -q -O "${DEST}" "${DOWNLOAD}"
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fi
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unzip -o "${DEST}" -d "${UNZIPPED}"
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if [ ! -f "${UNZIPPED}/data.yaml" ]; then
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fail "${ID}" "Invalid dataset"
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rm -rf "${UNZIPPED}"
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rm "${DEST}"
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exit 1
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fi
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FULLDEST=$(realpath "${UNZIPPED}")
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python scripts/data.py "${FULLDEST}/data.yaml"
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cd yolov5
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source env/bin/activate
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WEIGHTS="yolov5s.pt"
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if [[ "${MODEL}" == "yolov5m_onnx" ]]; then
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WEIGHTS="yolov5m.pt"
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elif [[ "${MODEL}" == "yolov5l_onnx" ]]; then
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WEIGHTS="yolov5l.pt"
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fi
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python train.py --img 640 --batch 16 --epochs 300 --data "${FULLDEST}/data.yaml" --weights "${WEIGHTS}" --cache --project ../models/ --name "${ID}"
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