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Changing the grid size resulted in incorrect inference results #98
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const float min_x_range = 0.0; const float pillar_x_size = 0.16; This is the point cloud range and pillar size provided by the author. Thank you very much for your answer |
I have the same problem. Have you finally resolved it? If it is resolved, could you please let me know where the problem is? |
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I have the same problem. Have you finally resolved it? If it is resolved, could you please let me know where the problem is? |
I won't modify the parameters of the model right now. Instead, I will crop the range of the point cloud in my own code and select the appropriate point cloud.
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主题: Re: [NVIDIA-AI-IOT/CUDA-PointPillars] Changing the grid size resulted in incorrect inference results (Issue #98)
I have the same problem. Have you finally resolved it? If it is resolved, could you please let me know where the problem is?
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好的,谢谢啦 |
Once I change the ratio of point cloud to pillar size, the inference results are completely inaccurate.
const int grid_x_size = (max_x_range - min_x_range) / pillar_x_size;
const int grid_y_size = (max_y_range - min_y_range) / pillar_y_size;
const int grid_z_size = (max_z_range - min_z_range) / pillar_z_size;
If my own grid size does not match the grid size provided by the CUDA pointpillar author, the reasoning is incorrect.
This issue has caused me to be unable to freely set the point cloud range and pillar size.
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