offline_video_processing.py

'''
Here we are processing the reduced_frame_video
and using it for YOLO for every frame and hence 
we can use the seperate frames to form a video 
by combining all these frames
'''

import cv2
from darkflow.net.build import TFNet
import numpy as np
import time


def process_video(option, input_video):
    tfnet = TFNet(option)

    capture = cv2.VideoCapture(input_video)
    colors = [tuple(255 * np.random.rand(3)) for i in range(5)]

    while (capture.isOpened()):
        stime = time.time()
        ret, frame = capture.read()
        if ret:
            results = tfnet.return_predict(frame)
            for color, result in zip(colors, results):
                tl = (result['topleft']['x'], result['topleft']['y'])
                br = (result['bottomright']['x'], result['bottomright']['y'])
                label = result['label']
                frame = cv2.rectangle(frame, tl, br, color, 7)
                frame = cv2.putText(
                    frame, label, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)
            cv2.imshow('frame', frame)
            print('FPS {:.1f}'.format(1 / (time.time() - stime)))
            if cv2.waitKey(1) & 0xFF == ord('q'):
                break
        else:
            capture.release()
            cv2.destroyAllWindows()
            break