Core ML feature support

MMDeploy support convert Pytorch model to Core ML and inference.

Installation

To convert the model in mmdet, you need to compile libtorch to support custom operators such as nms.

cd ${PYTORCH_DIR}
mkdir build && cd build
cmake .. \
    -DCMAKE_BUILD_TYPE=Release \
    -DPYTHON_EXECUTABLE=`which python` \
    -DCMAKE_INSTALL_PREFIX=install \
    -DDISABLE_SVE=ON # low version like 1.8.0 of pytorch need this option
make install

Usage

python tools/deploy.py \
    configs/mmdet/detection/detection_coreml_static-800x1344.py \
    /mmdetection_dir/configs/retinanet/retinanet_r18_fpn_1x_coco.py \
    /checkpoint/retinanet_r18_fpn_1x_coco_20220407_171055-614fd399.pth \
    /mmdetection_dir/demo/demo.jpg \
    --work-dir work_dir/retinanet \
    --device cpu \
    --dump-info