joryoker
joryoker
torch1.8.0+cu111 python onnx/export_model_to_onnx.py \ --config-file configs/FCOS-Detection/R_50_1x.yaml \ --output FCOS_R_50_1x.onnx --opts MODEL.WEIGHTS FCOS_R_50_1x.pth RuntimeError:PyDict_Check(elem) INTERNAL ASSERT FAILED at "/pytorch/torch/csrc/jit/passes/onnx/shape_type_inference.cpp":701,please report a bug to PyTorch.
我用您给的onnx模型可以用opencv正常识别,用https://github.com/WongKinYiu/yolov7/tree/main/models中的export.py导出官方的yolov7.pt模型640*640不能识别到物体,请问您是在export.py的基础上有增加哪些处理吗
Does the passl model support c++ deployment?How do I deploy a trained passl model in c++
paddlex 2.1.0 win10 官网的单线程model_infer.dll,C#调用模型可以调用 
### Your Question set model = UniNet(student_backbone="resnet18", teacher_backbone="resnet18"),An error occurred:RuntimeError: Given groups=1, weight of size [512, 256, 3, 3], expected input[2, 64, 64, 64] to have 256 channels, but got...