gt_analysis.py

"""
Ground truth analysis for SMPL data.
"""
import os
import numpy as np
import matplotlib.pyplot as plt

def analyze_ground_truth(sequence_roots):
    """
    Perform data science analyses on the ground truth SMPL data.
    
    Args:
    sequence_roots (list): List of paths to sequence root directories.
    
    Returns:
    dict: Analysis results
    """
    results = {}
    
    for root in sequence_roots:
        # Load SMPL data
        # This is a placeholder and should be replaced with actual data loading
        smpl_data = np.load(os.path.join(root, 'smpl_data.npy'))
        
        # Perform analyses (examples)
        results[root] = {
            'mean_pose': np.mean(smpl_data, axis=0),
            'std_pose': np.std(smpl_data, axis=0),
            'max_pose': np.max(smpl_data, axis=0),
            'min_pose': np.min(smpl_data, axis=0)
        }
        
        # Visualize results (example)
        plt.figure(figsize=(10, 6))
        plt.plot(results[root]['mean_pose'])
        plt.title(f"Mean Pose for {os.path.basename(root)}")
        plt.savefig(os.path.join(root, 'mean_pose_plot.png'))
        plt.close()
    
    return results

# Add more analysis functions as needed