Python cv2.convertMaps() Examples
The following are 2
code examples of cv2.convertMaps().
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Example #1
Source File: utils.py From PartiallyReversibleUnet with BSD 3-Clause "New" or "Revised" License | 5 votes |
def dense_image_warp(im, dx, dy, interp=cv2.INTER_LINEAR): map_x, map_y = deformation_to_transformation(dx, dy) do_optimization = (interp == cv2.INTER_LINEAR) # The following command converts the maps to compact fixed point representation # this leads to a ~20% increase in speed but could lead to accuracy losses # Can be uncommented if do_optimization: map_x, map_y = cv2.convertMaps(map_x, map_y, dstmap1type=cv2.CV_16SC2) remapped = cv2.remap(im, map_x, map_y, interpolation=interp, borderMode=cv2.BORDER_REFLECT) #borderValue=float(np.min(im))) if im.ndim > remapped.ndim: remapped = np.expand_dims(remapped, im.ndim) return remapped
Example #2
Source File: utils.py From PHiSeg-code with Apache License 2.0 | 5 votes |
def dense_image_warp(im, dx, dy, interp=cv2.INTER_LINEAR, do_optimisation=True): map_x, map_y = deformation_to_transformation(dx, dy) # The following command converts the maps to compact fixed point representation # this leads to a ~20% increase in speed but could lead to accuracy losses # Can be uncommented if do_optimisation: map_x, map_y = cv2.convertMaps(map_x, map_y, dstmap1type=cv2.CV_16SC2) return cv2.remap(im, map_x, map_y, interpolation=interp, borderMode=cv2.BORDER_REFLECT) #borderValue=float(np.min(im)))