def calc_features(img_arr, plane_tag, long=False):
assert len(img_arr.shape) == 2
pychrm_matrix = PyImageMatrix()
pychrm_matrix.allocate(img_arr.shape[1], img_arr.shape[0])
numpy_matrix = pychrm_matrix.as_ndarray()
numpy_matrix[:] = img_arr
signatures = FeatureVector(basename=plane_tag, long=long)
signatures.original_px_plane = pychrm_matrix
signatures.GenerateFeatures(write_to_disk=False)
return signatures
def calc_features(img_array, tag, long=False, w=None, h=None,
dx=None, dy=None, ox=None, oy=None):
if len(img_array.shape) != 2:
raise ValueError("array must be two-dimensional")
for i, j, tile in gen_tiles(
img_array, w=w, h=h, dx=dx, dy=dy, ox=ox, oy=oy):
signatures = FeatureVector(basename=tag, long=long)
signatures.original_px_plane = get_image_matrix(tile)
signatures.GenerateFeatures(write_to_disk=False)
signatures.x, signatures.y = j, i
signatures.h, signatures.w = tile.shape
yield signatures
def calc_features(img_array,
tag,
long=False,
w=None,
h=None,
dx=None,
dy=None):
if len(img_array.shape) != 2:
raise ValueError("array must be two-dimensional")
for i, j, tile in gen_tiles(img_array, w=w, h=h, dx=dx, dy=dy):
signatures = FeatureVector(basename=tag, long=long)
signatures.original_px_plane = get_image_matrix(tile)
signatures.GenerateFeatures(write_to_disk=False)
signatures.x, signatures.y = j, i
signatures.h, signatures.w = tile.shape
yield signatures
