app-console.py <input-image> <target-width> <target-height> <target-image>
Options:
-h --help Show this screen.
--version Show version.
"""
from cropman.cropper import Cropper
from docopt import docopt
import cv2
if __name__ == '__main__':
arguments = docopt(__doc__, version='Cropman Console 0.1.0')
input_filename = arguments['<input-image>']
target_filename = arguments['<target-image>']
target_width = int(arguments['<target-width>'])
target_height = int(arguments['<target-height>'])
cropper = Cropper()
input_image = cv2.imread(input_filename)
if input_image is None:
print('Invalid input image. Please check %s' % input_filename)
else:
target_image = cropper.crop(input_image, target_width, target_height)
if target_image is None:
print('Cropping failed.')
else:
cv2.imwrite(target_filename, target_image)
print('\nDone. \nResult: %s' % target_filename)
class TestCropper(unittest.TestCase):
def setUp(self):
self.cropper = Cropper()
self.input = cv2.imdecode(
np.array(
bytearray(
base64.decodestring('''
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FijVEGFAwAKKK89xSbZ1ucpRSb0Q6kzRRQSGaKKKBn//2Q=='''))), 1)
def test_multisize(self):
results = []
for h in xrange(10, 100, 20):
for w in xrange(10, 100, 20):
results += list(self.cropper.crop(self.input, w, h).flatten())
print len(results)
self.assertEqual(
hashlib.md5(np.asarray(results)).hexdigest(),
'76b20e37ea8f49b801907d9a11bbacc4')
def tearDown(self):
pass
Usage:
app-console.py <input-image> <target-width> <target-height> <target-image>
Options:
-h --help Show this screen.
--version Show version.
"""
from cropman.cropper import Cropper
from docopt import docopt
import cv2
if __name__ == "__main__":
arguments = docopt(__doc__, version="Cropman Console 0.1.0")
input_filename = arguments["<input-image>"]
target_filename = arguments["<target-image>"]
target_width = int(arguments["<target-width>"])
target_height = int(arguments["<target-height>"])
cropper = Cropper()
input_image = cv2.imread(input_filename)
if input_image is None:
print "Invalid input image. Please check %s" % input_filename
else:
target_image = cropper.crop(input_image, target_width, target_height)
if target_image is None:
print "Cropping failed."
else:
cv2.imwrite(target_filename, target_image)
print "\nDone. \nResult: %s" % target_filename
class TestCropper(unittest.TestCase):
def setUp(self):
self.cropper = Cropper()
self.input = cv2.imdecode(np.array(bytearray(base64.decodestring('''
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FijVEGFAwAKKK89xSbZ1ucpRSb0Q6kzRRQSGaKKKBn//2Q=='''))), 1)
def test_multisize(self):
results = []
for h in xrange(10, 100, 20):
for w in xrange(10, 100, 20):
results += list(self.cropper.crop(self.input, w, h).flatten())
print len(results)
self.assertEqual(
hashlib.md5(np.asarray(results)).hexdigest(),
'76b20e37ea8f49b801907d9a11bbacc4')
def tearDown(self):
pass
