This project consists of two main scripts: video2frame.py and generate_label.py. These scripts facilitate the conversion of a video into individual frames and the generation of YOLO format labels for the detected objects in each frame.

• video2frame.py: Python script to convert a video into individual frames.
• generate_label.py: Python script to generate YOLO format labels for the detected objects in the frames.
• labels/: Folder to store the generated YOLO format labels.
• model/: Folder containing the pre-trained YOLO model and related files.
• output_frame/: Folder to store the output frames extracted from the video.

1. Place your input video file in the project folder.
2. Run video2frame.py to convert the video into individual frames. The output frames will be saved in the output_frame/ folder.
3. Run generate_label.py to generate YOLO format labels for the detected objects in the frames. The generated labels will be stored in the labels/ folder.

• Python 3.9
• OpenCV (cv2)
• Pre-trained YOLO model (located in the model/ folder)