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| import face_recognition | |
| import cv2 | |
| import gradio as gr | |
| from PIL import Image | |
| import numpy as np | |
| import time | |
| def run(image): | |
| image.thumbnail((1280, 1280)) | |
| image = np.array(image) | |
| face_locations = face_recognition.face_locations(image, model="cnn") | |
| for top, right, bottom, left in face_locations: | |
| face_image = image[top:bottom, left:right] | |
| face_image = cv2.GaussianBlur(face_image, (99, 99), 30) | |
| image[top:bottom, left:right] = face_image | |
| return Image.fromarray(image) | |
| if __name__ == "__main__": | |
| start = time.time() | |
| for _ in range(100): | |
| image = Image.open("./images/crowd.jpeg") | |
| _ = run(image) | |
| print('It took', (time.time()-start)/100, 'seconds.') |