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 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 acquire_img(img_id, path):
"""Retrieve and process img from folder.
Retrieve image from folder, scale it, applies
grayscale, and reshape it to (1, 100, 100)
Args:
img_id (str):
path (str):
Returns:
numpy.array: img array
"""
img_path = get_img_file_path(img_id, path)
img = imread(img_path)
img_gray = preprocess.grey(img)
img_resized = preprocess.scale_max(img_gray, IMG_SIZE, IMG_SIZE)
img_reshaped = np.reshape(img_resized, (1, 100, 100))
return img_reshaped
def acquire_img(img_id, path):
"""Retrieve and process img from folder.
Retrieve image from folder, scale it, applies
grayscale, and reshape it to (1, 100, 100)
Args:
img_id (str):
path (str):
Returns:
numpy.array: img array
"""
img_path = get_img_file_path(img_id, path)
img = imread(img_path)
img_gray = preprocess.grey(img)
img_resized = preprocess.scale_max(img_gray, IMG_SIZE, IMG_SIZE)
img_reshaped = np.reshape(img_resized, (1, 100, 100))
return img_reshaped
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
