def main():
"""
Let user tune all images in the input folder and report chosen values.
Load a calibration from file and instantiate a ``BlockMatcher`` of the type
requested by the user. Load images successively from input folder and
display their resultant disparity map generated with the ``BlockMatcher``
and the parameters chosen in the ``BMTuner``'s GUI. Afterwards, report
user's chosen settings and, if a file for the BM settings is provided, save
the most common settings to file.
"""
parser = ArgumentParser(
description="Read images taken from a calibrated "
"stereo pair, compute disparity maps from them and "
"show them interactively to the user, allowing the "
"user to tune the stereo block matcher settings in "
"the GUI.",
parents=[STEREO_SGBM_FLAG])
parser.add_argument(
"calibration_folder",
help="Directory where calibration files for the stereo "
"pair are stored.")
parser.add_argument("image_folder",
help="Directory where input images are stored.")
parser.add_argument("--bm_settings",
help="File to save last block matcher settings to.",
default="")
args = parser.parse_args()
calibration = StereoCalibration(input_folder=args.calibration_folder)
input_files = find_files(args.image_folder)
if args.use_stereobm:
block_matcher = StereoBM()
else:
block_matcher = StereoSGBM()
image_pair = [cv2.imread(image) for image in input_files[:2]]
input_files = input_files[2:]
rectified_pair = calibration.rectify(image_pair)
tuner = BMTuner(block_matcher, calibration, rectified_pair)
while input_files:
image_pair = [cv2.imread(image) for image in input_files[:2]]
rectified_pair = calibration.rectify(image_pair)
tuner.tune_pair(rectified_pair)
input_files = input_files[2:]
for param in block_matcher.parameter_maxima:
print("{}\n".format(tuner.report_settings(param)))
if args.bm_settings:
block_matcher.save_settings(args.bm_settings)
def main():
"""
Let user tune all images in the input folder and report chosen values.
Load a calibration from file and instantiate a ``BlockMatcher`` of the type
requested by the user. Load images successively from input folder and
display their resultant disparity map generated with the ``BlockMatcher``
and the parameters chosen in the ``BMTuner``'s GUI. Afterwards, report
user's chosen settings and, if a file for the BM settings is provided, save
the most common settings to file.
"""
parser = ArgumentParser(description="Read images taken from a calibrated "
"stereo pair, compute disparity maps from them and "
"show them interactively to the user, allowing the "
"user to tune the stereo block matcher settings in "
"the GUI.", parents=[STEREO_SGBM_FLAG])
parser.add_argument("calibration_folder",
help="Directory where calibration files for the stereo "
"pair are stored.")
parser.add_argument("image_folder",
help="Directory where input images are stored.")
parser.add_argument("--bm_settings",
help="File to save last block matcher settings to.",
default="")
args = parser.parse_args()
calibration = StereoCalibration(input_folder=args.calibration_folder)
input_files = find_files(args.image_folder)
if args.use_stereobm:
block_matcher = StereoBM()
else:
block_matcher = StereoSGBM()
image_pair = [cv2.imread(image) for image in input_files[:2]]
input_files = input_files[2:]
rectified_pair = calibration.rectify(image_pair)
tuner = BMTuner(block_matcher, calibration, rectified_pair)
while input_files:
image_pair = [cv2.imread(image) for image in input_files[:2]]
rectified_pair = calibration.rectify(image_pair)
tuner.tune_pair(rectified_pair)
input_files = input_files[2:]
for param in block_matcher.parameter_maxima:
print("{}\n".format(tuner.report_settings(param)))
if args.bm_settings:
block_matcher.save_settings(args.bm_settings)
def main():
parser = ArgumentParser(
description="Read images taken from a calibrated "
"stereo pair, compute disparity maps from them and "
"show them interactively to the user, allowing the "
"user to tune the stereo block matcher settings in "
"the GUI.",
parents=[STEREO_BM_FLAG])
parser.add_argument(
"calibration_folder",
help="Directory where calibration files for the stereo "
"pair are stored.")
parser.add_argument("image_folder",
help="Directory where input images are stored.")
parser.add_argument("--bm_settings",
help="File to save last block matcher settings to.",
default="")
args = parser.parse_args()
calibration = StereoCalibration(input_folder=args.calibration_folder)
input_files = find_files(args.image_folder)
if args.use_stereobm:
block_matcher = StereoBM()
else:
block_matcher = StereoSGBM()
image_pair = [cv2.imread(image) for image in input_files[:2]]
input_files = input_files[2:]
rectified_pair = calibration.rectify(image_pair)
tuner = BMTuner(block_matcher, calibration, rectified_pair)
while input_files:
image_pair = [cv2.imread(image) for image in input_files[:2]]
rectified_pair = calibration.rectify(image_pair)
tuner.tune_pair(rectified_pair)
input_files = input_files[2:]
for param in block_matcher.parameter_maxima:
print("{}\n".format(tuner.report_settings(param)))
if args.bm_settings:
block_matcher.save_settings(args.bm_settings)
