pulse2percept.utils.images¶
center_image
, scale_image
, shift_image
, trim_image
Functions
center_image (img[, loc]) |
Center the image foreground |
scale_image (img, scaling_factor) |
Scale the image foreground |
shift_image (img, shift_cols, shift_rows) |
Shift the image foreground |
trim_image (img[, tol, return_coords]) |
Remove any black border around the image |
-
pulse2percept.utils.images.
center_image
(img, loc=None)[source]¶ Center the image foreground
This function shifts the center of mass (CoM) to the image center. The background of the image is assumed to be black (0 grayscale).
New in version 0.7.
Parameters: - img (ndarray) – A 2D NumPy array representing a (height, width) grayscale image, or a 3D NumPy array representing a (height, width, channels) RGB image
- loc ((col, row), optional) – The pixel location at which to center the CoM. By default, shifts the CoM to the image center.
Returns: img (ndarray) – A copy of the image centered at
loc
-
pulse2percept.utils.images.
scale_image
(img, scaling_factor)[source]¶ Scale the image foreground
This function scales the image foreground by a factor. The background of the image is assumed to be black (0 grayscale).
New in version 0.7.
Parameters: - img (ndarray) – A 2D NumPy array representing a (height, width) grayscale image, or a 3D NumPy array representing a (height, width, channels) RGB image
- scaling_factor (float) – Factory by which to scale the image
Returns: img (ndarray) – A copy of the scaled image
-
pulse2percept.utils.images.
shift_image
(img, shift_cols, shift_rows)[source]¶ Shift the image foreground
This function shifts the center of mass (CoM) of the image by the specified number of rows and columns. The background of the image is assumed to be black (0 grayscale).
New in version 0.7.
Parameters: - img (ndarray) – A 2D NumPy array representing a (height, width) grayscale image, or a 3D NumPy array representing a (height, width, channels) RGB image
- shift_cols (float) – Number of columns by which to shift the CoM. Positive: to the right, negative: to the left
- shift_rows (float) – Number of rows by which to shift the CoM. Positive: downward, negative: upward
Returns: img (ndarray) – A copy of the shifted image
-
pulse2percept.utils.images.
trim_image
(img, tol=0, return_coords=False)[source]¶ Remove any black border around the image
New in version 0.7.
Parameters: - img (ndarray) – A 2D NumPy array representing a (height, width) grayscale image, or a 3D NumPy array representing a (height, width, channels) RGB image. If an alpha channel is present, the image will first be blended with black.
- tol (float, optional) – Any pixels with gray levels > tol will be trimmed.
- return_coords (bool, optional) – If True, will also return the row and column coordinates of the retained image
Returns: - img (ndarray) – A copy of the image with trimmed borders.
- (row_start, row_end) (tuple, optional) – The range of row indices in the trimmed image (returned only if
return_coords
is True) - (col_start, col_end) (tuple, optional) – The range of column indices in the trimmed image (returned only if
return_coords
is True)