import gradio as gr import numpy as np import cv2 def filter_img(input_img,filter_type): print('File name is : ',input_img) # Reading in as JPG format img = cv2.imread(input_img) filtered_img = np.zeros(img.shape, dtype=int) if filter_type == 'Vintage': sepia_filter = np.array( [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]] ) filtered_img = img.dot(sepia_filter.T) filtered_img /= filtered_img.max() elif filter_type == 'Gray-sharp': img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY) filtered_img = cv2.addWeighted(img,4, cv2.blur(img,(128,128)),-4,128) elif filter_type == 'Sharp': filtered_img = cv2.addWeighted(img,4, cv2.blur(img,(128,128)),-4,128) elif filter_type == 'Gray': filtered_img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY) elif filter_type == 'B&W': filtered_img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY) _,filtered_img = cv2.threshold(filtered_img,127,255,cv2.THRESH_BINARY) elif filter_type == 'Magenta': filtered_img[:,:,0] = img[:,:,0] filtered_img[:,:,2] = img[:,:,2] elif filter_type == 'Cyan': filtered_img[:,:,1] = img[:,:,1] filtered_img[:,:,2] = img[:,:,2] elif filter_type == 'Yellow': filtered_img[:,:,0] = img[:,:,0] filtered_img[:,:,1] = img[:,:,1] elif filter_type == 'Blue': filtered_img[:,:,2] = img[:,:,2] elif filter_type == 'Green': filtered_img[:,:,1] = img[:,:,1] elif filter_type == 'Red': filtered_img[:,:,0] = img[:,:,0] return filtered_img demo = gr.Interface(filter_img, inputs = [ gr.inputs.Image(type="filepath"),gr.inputs.Dropdown(["Gray","B&W","Sharp","Gray-sharp","Vintage","Magenta","Yellow","Cyan","Blue","Green","Red"])], outputs = gr.outputs.Image(type="pil"), title = "Image Filterz", description="Cool image filters!" ) demo.launch(inline=False)