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用opencv的dnn模块做yolov5目标检测,包含C++和Python两个版本的程序,优化后的

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试了一下效果挺好的。请问如果把Sigmoid那层放入onnx来做,是不是更好些?

你好,你的代码跑通了,模型是yolov5哪个版本。 ultralytics/yolov5-5.0的模型能跑吗,需要改代码吗

Where is yolov5s_param.pth ?

/media/yzl/C4A8E8FBE4769FDE/sr/cpp/opencv-4.2.0/modules/dnn/src/onnx/onnx_importer.cpp:327: error: (-215:Assertion failed) model_proto.has_graph() in function 'populateNet'

I train my model with your changes, y test this using onnx runtime and all is ok , but in OpenCV I get this error: outs[row_ind:row_ind+length, 0:2] = (outs[row_ind:row_ind+length, 0:2]...

I cannot understand the formulation: outs[row_ind:row_ind+length, 0:2] = (outs[row_ind:row_ind+length, 0:2] * 2. - 0.5 + np.tile(self.grid[i],(self.na, 1))) * int(self.stride[i]) outs[row_ind:row_ind+length, 2:4] = (outs[row_ind:row_ind+length, 2:4] * 2) ** 2 * np.repeat(self.anchor_grid[i],h*w,...

请问一下有推荐的硬件来部署吗 感谢!!

I have problem of loading onnx model by opencv. How to fix it? Thx. pytorch 1.7.1 opencv 4.3.0 Here is the detail: >>>python main_yolov5.py --net_type yolov5s Traceback (most recent call...