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您好,首先我想问下官方是否提供类似Nvidia的针对yolo量化感知训练方法,帮助qat模型到rknn具有较好的支持,其次我目前在RV1126进行部署,基于rv1126 只支持onnx<=12,我的qat模型导出为onnx时基于一些算子的原因必须是onnx opset==13。导致无法转为rknn模型。但是13版本并不是一个很新的版本,不知道官方有计划支持13版本吗
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支持QAT,但是yolo比较麻烦。我实现了RCNN OCR的QAT训练和DBNET的QAT训练,但1.7.5的rknn-toolkit转换模型的时候,有bug, 1.7.3没问题。
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您好,首先我想问下官方是否提供类似Nvidia的针对yolo量化感知训练方法,帮助qat模型到rknn具有较好的支持,其次我目前在RV1126进行部署,基于rv1126 只支持onnx<=12,我的qat模型导出为onnx时基于一些算子的原因必须是onnx opset==13。导致无法转为rknn模型。但是13版本并不是一个很新的版本,不知道官方有计划支持13版本吗
The text was updated successfully, but these errors were encountered: