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mmdeploy/docs/en/05-supported-backends/coreml.md
Chen Xin a0fb3be0df
support coreml (#760) 
* sdk inference

* fix typo

* fix typo

* add convert things

* fix missling name

* add cls support

* add more pytorch rewriter

* add det support

* support det wip

* make Model export model_path

* fix nms

* add output back

* add docstring

* fix lint

* add coreml build action

* add zh docs

* add coreml backend check

* update ci

* update

* update

* update

* update

* update

* fix lint

* update configs

* add return value when error occured

* update docs

* update docs

* update docs

* fix lint

* udpate docs

* udpate docs

* update

Co-authored-by: grimoire <streetyao@live.com>
2022-09-05 19:55:47 +08:00

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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