def measure_visual_fidelity()

in quality_comparison/measure_visual_fidelity.py [0:0]

• 13 lines of code
• 3 McCabe index (conditional complexity)

def measure_visual_fidelity(args):
    metrics = torch_fidelity.calculate_metrics(
        input1=args.sim_path,
        input2=args.real_path,
        cuda=True,
        fid=True,
        kid=True,
        verbose=False,
    )
    for k, v in metrics.items():
        if "kernel_inception" in k:
            v *= 1000.0
        print(f"{k:<40s}: {v:.4f}")