s194649 commited on
Commit
15a3702
·
1 Parent(s): 0457b5c

debug mode

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Files changed (1) hide show
  1. inference.py +6 -0
inference.py CHANGED
@@ -19,6 +19,7 @@ def PCL(mask, depth):
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  assert type(depth) == np.ndarray
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  rgb_mask = np.zeros((mask.shape[0], mask.shape[1], 3)).astype("uint8")
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  rgb_mask[mask] = (255, 0, 0)
 
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  depth_o3d = o3d.geometry.Image(depth)
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  image_o3d = o3d.geometry.Image(rgb_mask)
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  rgbd_image = o3d.geometry.RGBDImage.create_from_color_and_depth(image_o3d, depth_o3d, convert_rgb_to_intensity=False)
@@ -27,7 +28,12 @@ def PCL(mask, depth):
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  # Step 4: Convert PointCloud data to a NumPy array
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  points = np.asarray(pcd.points)
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  colors = np.asarray(pcd.colors)
 
 
 
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  mask = (colors[:, 0] == 255)
 
 
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  points = points[mask]
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  colors = colors[mask]
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  return points, colors
 
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  assert type(depth) == np.ndarray
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  rgb_mask = np.zeros((mask.shape[0], mask.shape[1], 3)).astype("uint8")
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  rgb_mask[mask] = (255, 0, 0)
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+ print
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  depth_o3d = o3d.geometry.Image(depth)
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  image_o3d = o3d.geometry.Image(rgb_mask)
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  rgbd_image = o3d.geometry.RGBDImage.create_from_color_and_depth(image_o3d, depth_o3d, convert_rgb_to_intensity=False)
 
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  # Step 4: Convert PointCloud data to a NumPy array
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  points = np.asarray(pcd.points)
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  colors = np.asarray(pcd.colors)
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+ print(np.unique(colors, axis=0))
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+ print(np.unique(colors, axis=1))
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+ print(np.unique(colors))
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  mask = (colors[:, 0] == 255)
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+ print(mask.sum())
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+ print(colors.shape)
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  points = points[mask]
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  colors = colors[mask]
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  return points, colors