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import os |
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root = 'results/davis_rearranged' |
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exps = ['testing_pnsr_4000'] |
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results = {} |
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for exp in exps: |
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results[exp] = {} |
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for scene in sorted(os.listdir(root)): |
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if os.path.isdir(os.path.join(root, scene)): |
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for exp in exps: |
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train_log = os.path.join(root, scene, exp, 'test_log.txt') |
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if os.path.exists(train_log): |
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with open(train_log, 'r') as file: |
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data = file.read() |
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last_line = data.strip().split('\n')[-1] |
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last_number = float(last_line.split()[-1]) |
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results[exp][scene] = last_number |
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print("Scene & " + " & ".join(results[exps[0]].keys()).replace('_', '-') + "& average") |
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for exp in exps: |
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avg_psnr = sum(results[exp].values()) / len(results[exp].values()) if results[exp].values() else 0 |
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print(f"PSNR & " + " & ".join(f"{results[exp].get(scene, 'N/A'):.2f}" for scene in results[exps[0]].keys()) + f" & {avg_psnr:.2f} ") |
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