parser.add_argument('folder', help='Folders with frames (divided into two parts: positive and negative examples')
parser.add_argument('-o', '--output', help='Incorrect results folder')
parser.add_argument('--save-correct', dest='save_correct', action='store_true', help='Save correct determined images')
parser.add_argument('-j', '--jobs', default=-1, type=int, help='Processes amount for feature extraction')
parser.add_argument('--verbose', dest='verbose', action='store_true', help='Debug output')
parser.set_defaults(save_correct=False)
parser.set_defaults(verbose=False)
return parser.parse_args()
if __name__ == '__main__':
args = process_arguments()
if args.verbose:
init_console_logging()
classifier = test_images.loadClassifier(args.classifier)
truePositive, falseNegative, trueNegative, falsePositive = \
test_images.process_sample(classifier, args.folder, args.output, args.jobs, args.save_correct)
if truePositive + falseNegative > 0:
recall = truePositive / float(truePositive + falseNegative)
else:
recall = 0
if truePositive + falsePositive > 0:
precision = truePositive / float(truePositive + falsePositive)
else:
precision = 0
if precision + recall > 0:
)
parser.add_argument(
"--only-first-symbol",
dest="first_symbol_tag",
action="store_true",
help="Positive only on first symbol from tag",
)
parser.set_defaults(first_symbol_tag=False)
return parser.parse_args()
if __name__ == "__main__":
import ocr_utils
ocr_utils.init_console_logging()
args = process_arguments()
setup_image_factory(
(args.window_size, args.window_size),
(args.shift_size, args.shift_size),
(args.features_window_size, args.features_window_size),
args.features_type,
False,
)
dc = process_base_folder(
args.folder,
negativeMultiplicator=args.negmult,
rulesType=args.type,