Welcome to mmyolo Discussions! #114
Replies: 10 comments 1 reply
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用官方给的yolov8的代码跑了钢板缺陷数据集map很高,但是用mmyolo的yolov8跑同样的数据集map很低,是怎么回事呀 |
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Hi, I am working on joint network including enhancement and detection task and trying to use mmyolo due to its flexibility and I guess it will be easier to modify backbone and corresponding sections for further studies. I wanted to try basic example on mmyolo and installed the dependencies from https://github.com/open-mmlab/mmyolo website. Then just tried to implement the example on https://mmyolo.readthedocs.io/en/latest/get_started/15_minutes_object_detection.html, however it doesn't work. Anyone who will help? |
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Hi @hhaAndroid @maydo82 @MambaWong, I'm using MMYOLO and have successfully trained a model that gives good results. Now, I want to run the model on CPU by converting it to OpenVINO. I followed the conversion pipeline: MMYOLO → ONNX → OpenVINO (using the OpenVINO CLI). However, after conversion, the inference results are not as expected. Could you please suggest possible solutions or guide me on how to resolve this? Thanks in advance! |
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hi any one can you give solutions for this |
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I think this project has folded. I follow all the issues and I haven't seen a significant amount of activity from maintainers in a long time. Try mmdetection which has more community support, or ultralytics. If you really need yolo, probably try ultralytics first (they're quite responsive). Good luck. |
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@collinmccarthy ok thanks for your suggestions but i need to try mmyolo with openvino so is any help me ? |
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@collinmccarthy ok any one can know why predictions are giving empty array |
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hi @hhaAndroid @hanrui1sensetime @maydo82 @MambaWong can any one tell me the preprocess and post process of of mmyolo(yolox) after converted to rknn. i followed the converstion as below mmyolo easydeploy to onnx and to rknn using airockchip rknn toolkit2 |
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hi any one know about this @hhaAndroid @hanrui1sensetime @maydo82 @MambaWong @collinmccarthy |
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