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Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

CMake 2.14% C++ 82.49% Python 6.77% Cuda 8.60%
3d-location cpp cuda darknet intel-realsense-camera object-detection opencv opencv-dnn tensorrt yolov5

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object-detection-and-location-realsensed435's Issues

error:‘const class rs2::depth_frame’ has no member named ‘get_units’; did you mean ‘get_width’?

您好,向您请教一个问题。我在编译的时候遇到了如下错误,不知怎么解决,您遇到过吗
Object-Detection-and-location-RealsenseD435-master/TensorRT/include/cv-helpers.hpp:52:17: error: ‘const class rs2::depth_frame’ has no member named ‘get_units’; did you mean ‘get_width’?
dm = dm * f.get_units();
^~~~~~~~~
get_width
compilation terminated due to -Wfatal-errors.

Printed coordinates do not make sense?!

Hello,

I have set up your project in an attempt to see if I could have the real-world coordinates of the objects my own network detects, however, the XYZ coordinates given do not make sense, the variable names used make it even harder to understand the significance of the printed values.

Upon checking the code, I note that the values are obtained via line 24 of the Position_transform.py: self.PCL=[int(PCL[0,0]),int(PCL[1,0]),int(PCL[2,0])]

But can you please tell me what do these numbers signify? and how can we convert them to cm/m ?

Thank you!

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