def cartoon_filter(self, path):
image = cv.imread(path)
res = cv.stylization(image, sigma_s=150, sigma_r=0.25)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def convert_to_rgb(self, path):
image = cv.imread(path)
rgb = cv.cvtColor(image, cv.COLOR_BGR2RGB)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), rgb)
return edited_image_name
def detect_edges(self, path, min_value, max_value):
image = cv.imread(path)
res = cv.Canny(image, min_value, max_value)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def median_blur(self, path, kernel_median_value):
image = cv.imread(path)
res = cv.medianBlur(image, kernel_median_value)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def gaussian_blur(self, path, width_kernel, height_kernel):
image = cv.imread(path)
res = cv.GaussianBlur(image, (width_kernel, height_kernel), 0)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def colored_sketch_filter(self, path):
image = cv.imread(path)
_, res = cv.pencilSketch(image,
sigma_s=60,
sigma_r=0.07,
shade_factor=0.05)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def sketch_filter(self, path):
image = cv.imread(path)
img_rgb = cv.cvtColor(image, cv.COLOR_BGR2RGB)
img_gray = cv.cvtColor(img_rgb, cv.COLOR_BGR2GRAY)
img_blur = cv.GaussianBlur(img_gray, (21, 21), 0, 0)
img_blend = cv.divide(img_gray, img_blur, scale=256)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), img_blend)
return edited_image_name
def scale_pixels(self, path, scale_pixels_x=50, scale_pixels_y=50):
image = cv.imread(path)
width = scale_pixels_x
height = scale_pixels_y
dsize = (width, height)
res = cv.resize(image, dsize)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def scale_percents(self, path, scale_percent_x=50, scale_percent_y=50):
image = cv.imread(path)
width = int(image.shape[1] * scale_percent_x / 100)
height = int(image.shape[0] * scale_percent_y / 100)
dsize = (width, height)
res = cv.resize(image, dsize)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def rotate(self, path, rotate_angle=90):
image = cv.imread(path)
angle = rotate_angle
height, width = image.shape[0:2]
rotation_matrix = cv.getRotationMatrix2D((width / 2, height / 2),
angle, .5)
res = cv.warpAffine(image, rotation_matrix, (width, height))
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def gradient(self, path, gradient_type):
image = cv.imread(path)
if gradient_type == GradientType.X_Direction:
res = cv.Sobel(image, cv.CV_8UC1, 1, 0)
elif gradient_type == GradientType.Y_Direction:
res = cv.Sobel(image, cv.CV_8UC1, 0, 1)
elif gradient_type == GradientType.X_Y_Direction:
image_x = cv.Sobel(image, cv.CV_8UC1, 0, 1)
image_y = cv.Sobel(image, cv.CV_8UC1, 1, 0)
res = cv.add(image_x, image_y)
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name
def crop(self,
path,
crop_top=10,
crop_bottom=10,
crop_left=10,
crop_right=10):
image = cv.imread(path)
height, width = image.shape[0:2]
start_row = int(height * crop_top / 100)
start_col = int(width * crop_left / 100)
end_row = int(height * ((100 - crop_bottom) / 100))
end_col = int(width * ((100 - crop_right) / 100))
res = image[start_row:end_row, start_col:end_col]
file_extension = path.split('.')[1]
edited_image_name = generate_imagename(file_extension)
cv.imwrite(os.path.join('uploads', edited_image_name), res)
return edited_image_name