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Simple mmdetection CPU inference

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Are you planning on adding support for DetectoRS, as the DeformConvs are not supported at all on CPU only inference?

RuntimeError: Error(s) in loading state_dict for FasterRCNN: size mismatch for roi_heads.box_predictor.cls_score.weight: copying a param with shape torch.Size([11, 1024]) from checkpoint, the shape in current model is torch.Size([10, 1024]). size mismatch...

Hi. Is this repo support [Solo ](https://github.com/WXinlong/SOLO)model? I really need to test it on the CPU. Many thanks

Hello your README have a typo on the notebook link: See demo jupyter notebook complete example: https://github.com/akarazniewicz/smd/blob/master/demo/demo.jpnby But the right link is: https://github.com/akarazniewicz/smd/blob/master/demo/demo.ipynb

I used the mask-RCNN R50 model trained in mmdetection v1 in SMD. In the 'results', the boxes, labels and scores can be extracted. However, the mask values are all 0....

@akarazniewicz is it normal to get a very long inference time when using SMD's Mask R-CNN model on an arbitrary CPU? I get between 10s and 30s depending on image...