WEEK 6 (Arnav)
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WEEK 6 (ARNAV)
DAY 1: Implemented the cosine difference algorithm in video to calculate similarity between 2 consecutive frames of a video
DAY 2: Implemented euclidean distance and manhattan diatance to realtime video. The program was also set to record the video
if significant changes were detected in any frame
DAY 3: Tried to implement the YOLO algorithm with pretrained models for object detection
DAY 4: Implemented cv2 functions to detect object in an image and make a bounding box around it.
DAY 5: The code now detectes moving object in a realtime and also records if significant changes are detected in the frames of
the video