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Excellent work. But when I used generate_shapenet_data.py to generate the ground truth of shapeNet dataset, the following warning message appeared. Will it affect the generated ground truth value? Bin size was too small in the coarse rasterization phase. This caused an overflow, meaning output may be incomplete. To solve, try increasing max_faces_per_bin / max_points_per_bin, decreasing bin_size, or setting bin_size to 0 to use the naive rasterization.Bin size was too small in the coarse rasterization phase. This caused an overflow, meaning output may be incomplete. To solve, try increasing max_faces_per_bin / max_points_per_bin, decreasing bin_size, or setting bin_size to 0 to use the naive rasterization.
The text was updated successfully, but these errors were encountered:
Excellent work. But when I used generate_shapenet_data.py to generate the ground truth of shapeNet dataset, the following warning message appeared. Will it affect the generated ground truth value?
Bin size was too small in the coarse rasterization phase. This caused an overflow, meaning output may be incomplete. To solve, try increasing max_faces_per_bin / max_points_per_bin, decreasing bin_size, or setting bin_size to 0 to use the naive rasterization.Bin size was too small in the coarse rasterization phase. This caused an overflow, meaning output may be incomplete. To solve, try increasing max_faces_per_bin / max_points_per_bin, decreasing bin_size, or setting bin_size to 0 to use the naive rasterization.
The text was updated successfully, but these errors were encountered: