CascadeTableNet Export

docker run --gpus all -it --rm \
-v `pwd`:/home/user/workdir \
ghcr.io/pinto0309/openvino2tensorflow:latest


cd ~
git clone --branch v2.10.0 https://github.com/open-mmlab/mmdetection.git
cd mmdetection

wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/General.Model.table.detection.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/ICDAR.13.table.detection.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/ICDAR.19.Track.A.Modern.table.detection.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/ICDAR.19.Track.B2.Modern.table.structure.recognition.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/Table.Bank.Both.table.detection.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/Table.Bank.Latex.table.detection.v2.pth
wget https://github.com/iiLaurens/CascadeTabNet/releases/download/v1.0.0/Table.Bank.Word.table.detection.v2.pth

wget -O demo.png https://github.com/iiLaurens/CascadeTabNet/raw/mmdet2x/imgs/TSR.png

MODEL=General.Model.table.detection.v2
H=320
W=320
python3 tools/deployment/pytorch2onnx.py \
cascade_mask_rcnn_hrnetv2p_w32_20e.py \
${MODEL}.pth \
--output-file ${MODEL}_${H}x${W}.onnx \
--input-img demo.png \
--shape ${H} ${W}
python3 -m onnxsim ${MODEL}_${H}x${W}.onnx ${MODEL}_${H}x${W}.onnx
mv ${MODEL}_${H}x${W}.onnx ${HOME}/workdir

H=480
W=480
python3 tools/deployment/pytorch2onnx.py \
cascade_mask_rcnn_hrnetv2p_w32_20e.py \
${MODEL}.pth \
--output-file ${MODEL}_${H}x${W}.onnx \
--input-img demo.png \
--shape ${H} ${W}
python3 -m onnxsim ${MODEL}_${H}x${W}.onnx ${MODEL}_${H}x${W}.onnx
mv ${MODEL}_${H}x${W}.onnx ${HOME}/workdir

H=640
W=640
python3 tools/deployment/pytorch2onnx.py \
cascade_mask_rcnn_hrnetv2p_w32_20e.py \
${MODEL}.pth \
--output-file ${MODEL}_${H}x${W}.onnx \
--input-img demo.png \
--shape ${H} ${W}
python3 -m onnxsim ${MODEL}_${H}x${W}.onnx ${MODEL}_${H}x${W}.onnx
mv ${MODEL}_${H}x${W}.onnx ${HOME}/workdir

H=800
W=800
python3 tools/deployment/pytorch2onnx.py \
cascade_mask_rcnn_hrnetv2p_w32_20e.py \
${MODEL}.pth \
--output-file ${MODEL}_${H}x${W}.onnx \
--input-img demo.png \
--shape ${H} ${W}
python3 -m onnxsim ${MODEL}_${H}x${W}.onnx ${MODEL}_${H}x${W}.onnx
mv ${MODEL}_${H}x${W}.onnx ${HOME}/workdir