I'm trying to write a script that anonymized faces on videos.
here is my code (python):
import cv2
from mtcnn.mtcnn import MTCNN
ksize = (101, 101)
def decode_fourcc(cc):
return "".join([chr((int(cc) >> 8 * i) & 0xFF) for i in range(4)])
def find_face_MTCNN(color, result_list):
for result in result_list:
x, y, w, h = result['box']
roi = color[y:y+h, x:x+w]
cv2.rectangle(color, (x, y), (x+w, y+h), (0, 155, 255), 5)
detectedFace = cv2.GaussianBlur(roi, ksize, 0)
color[y:y+h, x:x+w] = detectedFace
return color
detector = MTCNN()
video_capture = cv2.VideoCapture("basic.mp4")
width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
length = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
fps = int(video_capture.get(cv2.CAP_PROP_FPS))
video_out = cv2.VideoWriter(
"mtcnn.mp4", cv2.VideoWriter_fourcc(*"mp4v"), fps, (width, height))
while length:
_, color = video_capture.read()
faces = detector.detect_faces(color)
detectFaceMTCNN = find_face_MTCNN(color, faces)
video_out.write(detectFaceMTCNN)
cv2.imshow("Video", detectFaceMTCNN)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
fourccIN = video_capture.get(cv2.CAP_PROP_FOURCC)
fourccOUT = video_out.get(cv2.CAP_PROP_FOURCC)
print(f"input fourcc is: {fourccIN, decode_fourcc(fourccIN)}")
print(f"output fourcc is: {fourccOUT, decode_fourcc(fourccOUT)}")
video_capture.release()
cv2.destroyAllWindows()
I'll get a perfect working window with the anonymization, so imshow() works fine. But the new saved video "mtcnn.mp4" can't be opened. I found out the problem is the fourcc format of the new video since my output is:
input fourcc is: (828601953.0, 'avc1')
output fourcc is: (-1.0, 'ÿÿÿÿ')
'ÿÿÿÿ' stands for unreadable so thats the core of the matter...
Can someone help me please?
They are facing probably the same problem: Using MTCNN with a webcam via OpenCV
And I used this to encode the fourcc: What is the opposite of cv2.VideoWriter_fourcc?
