Ibai Gorordo

The data format is different, and it is slightly easier to get the 3D point cloud. If you are using a board with SDK 3.5, then use this other repository...

you can use cv2.VideoWriter (https://learnopencv.com/read-write-and-display-a-video-using-opencv-cpp-python/). Make sure the size of the video matches the size of the frames you want to save.

I am sorry for the delay. I have not forgotten, but I am planning to release an inference script for a more accurate model soon that might fix your issue....

That seems to be a deeper problem with the CUDA or ONNX Runtime, especially if you are getting the error also in C API. It might also have to do...

I guess it was missing ```win.show()``` when you changed to GraphicsLayoutWidget. I have updated the code based on [this pull request](https://github.com/ibaiGorordo/AWR1642-Read-Data-Python-MMWAVE-SDK-2/pull/33), let me know if it works now.

I can verify that using the configuration from the demo visualizer with the Range-Azimuth heatmap enabled, triggers the Azimuth-Elevation mode in Python (I get the TLV type with a value...

The size of the data is 24576 = (Range FFT size) x (Number of all virtual antennas) x (4Bytes), so the range fft size is 512 (number of virtual antennas...

Yes, I reread it again and I realized about it. I see, makes sense, I guess you process the data the same way as the range azimuth heatmap, but at...

My implementation had issues so I would not recommend it, it needs some fixes (I would say that looking at how pymmw does it will help you with that. And...

This is from the source code of the demo visualizer (JavaScript), it seems to be more complex than I expected: ``` var processAzimuthElevHeatMap = function (bytevec, byteVecIdx, Params) { var...