[Python] Find frames in the video that are similar to the static image, to crop the video

I use opencv with ffmpeg to cut the video. Specifically, find the frame in the video that is the same as the picture, then cut the video at the time the video frame is the same as the picture.

I found the code on google and edited it according to my needs, but when it comes to comparing frames and still images, I don't know how to ask you to add a comparison section to cut the video.

import numpy as np
import cv2
import time
from skimage.metrics import structural_similarity as compare_ssim

hinh = cv2.imread("f:\\x.png")
hinh1 = cv2.resize(hinh, (500, 300))
cap = cv2.VideoCapture('f:\\tt.mp4')
prev_frame_time = 0
new_frame_time = 0
cv2.imshow('hinh', hinh1)

while(cap.isOpened()):
ret, frame = cap.read()

if not ret:
break

gray = frame

gray = cv2.resize(gray, (500, 300))
font = cv2.FONT_HERSHEY_SIMPLEX
new_frame_time = time.time()

fps = 1/(new_frame_time-prev_frame_time)
prev_frame_time = new_frame_time

fps = int(fps)

fps = str(fps)

cv2.putText(gray, fps, (7, 70), font, 3, (100, 255, 0), 3, cv2.LINE_AA)
##############

# displaying the frame with fps

cv2.imshow('frame', gray)

# press 'Q' if you want to exit
if cv2.waitKey(1) & 0xFF == ord('q'):
break

cap.release()
cv2.destroyAllWindows()

Continue reading...