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data parser for t&t dataset #347

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Aug 21, 2024
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data parser for t&t dataset #347

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13 changes: 13 additions & 0 deletions examples/datasets/colmap.py
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Original file line number Diff line number Diff line change
Expand Up @@ -192,6 +192,19 @@ def __init__(
self.point_indices = point_indices # Dict[str, np.ndarray], image_name -> [M,]
self.transform = transform # np.ndarray, (4, 4)

# load one image to check the size. In the case of tanksandtemples dataset, the
# intrinsics stored in COLMAP corresponds to 2x upsampled images.
actual_image = imageio.imread(self.image_paths[0])[..., :3]
actual_height, actual_width = actual_image.shape[:2]
colmap_width, colmap_height = self.imsize_dict[self.camera_ids[0]]
s_height, s_width = actual_height / colmap_height, actual_width / colmap_width
for camera_id, K in self.Ks_dict.items():
K[0, :] *= s_width
K[1, :] *= s_height
self.Ks_dict[camera_id] = K
width, height = self.imsize_dict[camera_id]
self.imsize_dict[camera_id] = (int(width * s_width), int(height * s_height))

# undistortion
self.mapx_dict = dict()
self.mapy_dict = dict()
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