import cv2 import json import os from tqdm import tqdm def extract_first_and_last_frames(video_file): # Create base directory path base_dir = 'frames/' + os.path.splitext(os.path.basename(video_file))[0] # Check if both 'first.jpg' and 'last.jpg' already exist first_frame_path = os.path.join(base_dir, 'first.jpg') last_frame_path = os.path.join(base_dir, 'last.jpg') if os.path.exists(first_frame_path) and os.path.exists(last_frame_path): print(f"Skipping {video_file} as frames already exist.") return cap = cv2.VideoCapture(video_file) if not cap.isOpened(): print(f"Error: Could not open video {video_file}.") return total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) if total_frames == 1: print(f"Warning: Video {video_file} has only 1 frame.") # Extract and save first frame extract_and_save_frame(cap, video_file, 0, 'first', base_dir) # Extract and save last frame if total_frames > 1: extract_and_save_frame(cap, video_file, total_frames - 1, 'last', base_dir) cap.release() def extract_and_save_frame(cap, video_file, frame_number, frame_type, base_dir): cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number) ret, frame = cap.read() attempts = 0 while not ret and attempts < 10: frame_number -= 1 cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number) ret, frame = cap.read() attempts += 1 if not ret: print(f"Error: Could not read frame after several attempts at {frame_number} in {video_file}.") return if not os.path.exists(base_dir): os.makedirs(base_dir) frame_file_name = f"{base_dir}/{frame_type}.jpg" cv2.imwrite(frame_file_name, frame) print(f"Saved {frame_file_name}") # Read JSON file json_file = 'valid.json' with open(json_file, 'r') as file: videos = json.load(file) # Process each video file in the JSON for video in tqdm(videos): video_file_name = f"{video['id']}.webm" # Assuming webm format; adjust if needed video_file_path = os.path.join('./videos', video_file_name) extract_first_and_last_frames(video_file_path)