import os import argparse import pandas as pd import cv2 import numpy as np # Skeleton definition SKELETON = [ ("left_ankle", "left_knee"), ("left_knee", "left_hip"), ("right_ankle", "right_knee"), ("right_knee", "right_hip"), ("left_hip", "right_hip"), ("left_shoulder", "right_shoulder"), ("left_shoulder", "left_hip"), ("right_shoulder", "right_hip"), ("left_shoulder", "left_elbow"), ("left_elbow", "left_wrist"), ("right_shoulder", "right_elbow"), ("right_elbow", "right_wrist"), ("left_ankle", "left_heel"), ("left_ankle", "left_big_toe"), ("right_ankle", "right_heel"), ("right_ankle", "right_big_toe") ] def annotate_frames(frames_dir, output_dir, csv_path): """Draw keypoints and skeleton on frames.""" df = pd.read_csv(csv_path) os.makedirs(output_dir, exist_ok=True) frame_files = sorted([f for f in os.listdir(frames_dir) if f.endswith('.jpg')]) for _, row in df.iterrows(): f_idx = int(row['frame']) if f_idx >= len(frame_files): continue frame_name = frame_files[f_idx] img = cv2.imread(os.path.join(frames_dir, frame_name)) # Draw Skeleton for start_kp, end_kp in SKELETON: s_x, s_y = row.get(f"{start_kp}_x"), row.get(f"{start_kp}_y") e_x, e_y = row.get(f"{end_kp}_x"), row.get(f"{end_kp}_y") if pd.notna(s_x) and pd.notna(e_x): cv2.line(img, (int(s_x), int(s_y)), (int(e_x), int(e_y)), (0, 255, 0), 2) # Draw Keypoints for col in df.columns: if col.endswith('_x'): kp_name = col[:-2] x, y = row[col], row[f"{kp_name}_y"] if pd.notna(x): cv2.circle(img, (int(x), int(y)), 4, (0, 0, 255), -1) cv2.imwrite(os.path.join(output_dir, frame_name), img) if f_idx % 100 == 0: print(f"Annotated {f_idx} frames") if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--frames", required=True, help="Input frames directory") parser.add_argument("--csv", required=True, help="Input keypoints CSV") parser.add_argument("--output", required=True, help="Output frames directory") args = parser.parse_args() annotate_frames(args.frames, args.output, args.csv)