| import cv2 | |
| import os | |
| import pandas as pd | |
| from tqdm import tqdm | |
| # Path to the input video | |
| video_path = "../pmfeed_4_3_16.mp4" | |
| # Directory to save frames | |
| output_dir = "8_calves_yolo/test/images" | |
| os.makedirs(output_dir, exist_ok=True) | |
| # Load the video | |
| video_capture = cv2.VideoCapture(video_path) | |
| frame_number = 1 | |
| with tqdm(total=67760, desc="Extracting Frames") as pbar: | |
| while True: | |
| # Read the frame | |
| ret, frame = video_capture.read() | |
| # If no frame is returned, the video has ended | |
| if not ret: | |
| break | |
| # Save the frame with a sequential name | |
| frame_filename = os.path.join(output_dir, f"frame_{frame_number:05d}.png") | |
| cv2.imwrite(frame_filename, frame) | |
| # Increment the frame number | |
| frame_number += 1 | |
| pbar.update(1) | |
| # Release the video capture | |
| video_capture.release() | |
| print(f"Frames saved to: {output_dir}") | |
| output_dir = "8_calves_yolo/test/labels" | |
| os.makedirs(output_dir, exist_ok=True) | |
| df = pd.read_pickle("../pmfeed_4_3_16_bboxes_and_labels.pkl") | |
| df.reset_index(drop=True, inplace=True) | |
| i = 0 | |
| j = 0 | |
| frame_id = 1 | |
| with tqdm(total=len(df)) as pbar: | |
| while i < len(df): | |
| while j < len(df) and df.loc[j]["frame_id"] == df.loc[i]["frame_id"]: | |
| j += 1 | |
| pbar.update(1) | |
| temp = df.loc[i:j - 1] | |
| temp.to_csv( | |
| f'{output_dir}/frame_{frame_id:05d}.txt', | |
| header=None, | |
| index=None, | |
| sep=" ", | |
| mode="w", | |
| columns=["class", "x", "y", "w", "h"] | |
| ) | |
| frame_id += 1 | |
| i = j | |
| print(f"Labels saved to: {output_dir}") | |