* Modify to export to ONNX
* Modify to support new_tensor, new_full when exporting to onnx
* Replace grid_sample with resize for exporting to onnx
* Add verify of mask result
* Verify all outputs between pytorch and onnx
* Avoid runtime split error for mask-rcnn
* Remove unnecessary change in bbox2roi
* Update pytorch2onnx.py which using new logic to convert pytorch to ONNX
* use standard API to check whether in ONNX convert process
* only compare the score value while verifying results between ONNX and pytorch
* move import onnx before import torch, or something weird will happen
* use real images for input
* modifying the way of calling nms
* modify docstring for bbox2result, and remove unnecessary part for onnx exporting
* modify the 'Convert to ONNX' part in docs
* replace or to | in docstring
* update according to the latest mmcv
* add normalize part
* raise error while using low version mmcv
* minor update
* minor update
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* clean op
* clean
* update build.yml
* fix setup
* change ci mmcv version
* change ci mmcv version
* add install pre-build mmcv instructions
* update mmcv url, move some unnit tests to mmcv
* update ci mmcv
* test
* test
* test
* fix unit test
* fix unit test
* fix onnx script
* update mmcv url
* fix typo
* fix some doc
* Bump version
* resolve comments
* Fix version bug
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>