yolo_web/scripts/train.sh

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