From 6495d65e694e2d36ecab76940394093976fb0bb0 Mon Sep 17 00:00:00 2001 From: chrischoy Date: Fri, 5 Mar 2021 21:57:09 +0900 Subject: [PATCH] update segmentation image, indoor example minor update --- MinkowskiEngine/__init__.py | 2 +- docs/images/segmentation.png | Bin 183753 -> 207588 bytes examples/indoor.py | 16 +++++++++++++++- 3 files changed, 16 insertions(+), 2 deletions(-) diff --git a/MinkowskiEngine/__init__.py b/MinkowskiEngine/__init__.py index 988aff98..8a734d82 100644 --- a/MinkowskiEngine/__init__.py +++ b/MinkowskiEngine/__init__.py @@ -22,7 +22,7 @@ # Please cite "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural # Networks", CVPR'19 (https://arxiv.org/abs/1904.08755) if you use any part # of the code. -__version__ = "0.5.1" +__version__ = "0.5.2" import os import sys diff --git a/docs/images/segmentation.png b/docs/images/segmentation.png index a1b28d09c871b0ec6b8c4cbdc1664eecc772df2f..d3961e815f3fff65ed9feb15f1f77f0d7759c442 100644 GIT binary patch literal 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[0, 1] to [-0.5, 0.5]. If the color is in range [0, + 255], use the argument `is_color_in_range_0_255=True`. + + `color` (torch.Tensor): Nx3 color feature matrix + `is_color_in_range_0_255` (bool): If the color is in range [0, 255] not [0, 1], normalize the color to [0, 1]. + """ + if is_color_in_range_0_255: + color /= 255 + color -= 0.5 + return color.float() + + if __name__ == '__main__': config = parser.parse_args() device = torch.device('cuda' if ( @@ -124,7 +138,7 @@ def load_file(file_name): voxel_size = 0.02 # Feed-forward pass and get the prediction in_field = ME.TensorField( - features=torch.from_numpy(colors).float(), + features=normalize_color(torch.from_numpy(colors)), coordinates=ME.utils.batched_coordinates([coords / voxel_size], dtype=torch.float32), quantization_mode=ME.SparseTensorQuantizationMode.UNWEIGHTED_AVERAGE, minkowski_algorithm=ME.MinkowskiAlgorithm.SPEED_OPTIMIZED,