def preprocess_canny(_image_files):
processed_images = []
for image_file in _image_files:
img = imread(image_file)
img = preprocess.autocrop(img)
img = preprocess.scale_max(img)
img = preprocess.make_square(img)
img = preprocess.grey(img)
img = preprocess.canny(img)
processed_images.append(img)
mosaic_images = mosaic((len(processed_images)), processed_images)
return mosaic_images
def preprocess_canny(_image_files):
processed_images = []
for image_file in _image_files:
img = imread(image_file)
img = preprocess.autocrop(img)
img = preprocess.scale_max(img)
img = preprocess.make_square(img)
img = preprocess.grey(img)
img = preprocess.canny(img)
processed_images.append(img)
mosaic_images = mosaic((len(processed_images)), processed_images)
return mosaic_images
def image_raw_preprocessing(img_stream):
"""Decode the raw data from url into an image, crops and makes square
:param img_stream: raw data from url
:return: processed img
"""
image_squared = None
image_decoded = imdecode(np.fromstring(img_stream.content, np.uint8), flags=IMREAD_COLOR)
if image_decoded is not None:
try:
image_autocropped = preprocess.autocrop(image_decoded)
except AttributeError as e:
LOGGER.error(e)
return image_squared
if image_autocropped is not None:
image_scaled_max = preprocess.scale_max(image_autocropped)
image_squared = preprocess.make_square(image_scaled_max)
return image_squared
def preprocess_super_simple(_image_files):
processed_images = []
for image_file in _image_files:
img = imread(image_file)
img = preprocess.autocrop(img)
img = preprocess.scale_max(img)
img = preprocess.make_square(img)
img = preprocess.blur(
img, gaussian_blur={"enabled": True, "ksize_width": 5, "ksize_height": 5,
"sigmaX": 0}
)
img = preprocess.grey(img)
img = preprocess.bitwise(img)
processed_images.append(img)
mosaic_image = mosaic(len(processed_images), processed_images)
return mosaic_image
def image_raw_preprocessing(img_stream):
"""Decode the raw data from url into an image, crops and makes square
:param img_stream: raw data from url
:return: processed img
"""
image_squared = None
image_decoded = imdecode(np.fromstring(img_stream.content, np.uint8),
flags=IMREAD_COLOR)
if image_decoded is not None:
try:
image_autocropped = preprocess.autocrop(image_decoded)
except AttributeError as e:
LOGGER.error(e)
return image_squared
if image_autocropped is not None:
image_scaled_max = preprocess.scale_max(image_autocropped)
image_squared = preprocess.make_square(image_scaled_max)
return image_squared
def preprocess_super_simple(_image_files):
processed_images = []
for image_file in _image_files:
img = imread(image_file)
img = preprocess.autocrop(img)
img = preprocess.scale_max(img)
img = preprocess.make_square(img)
img = preprocess.blur(img,
gaussian_blur={
"enabled": True,
"ksize_width": 5,
"ksize_height": 5,
"sigmaX": 0
})
img = preprocess.grey(img)
img = preprocess.bitwise(img)
processed_images.append(img)
mosaic_image = mosaic(len(processed_images), processed_images)
return mosaic_image