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05764ee113
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@ -20,14 +20,25 @@ video_quality_dimensions = [
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i2v_dimensions = ["i2v_subject", "i2v_background", "camera_motion"]
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def str2bool(v):
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if isinstance(v, bool):
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return v
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if v.lower() in ("yes", "true", "t", "y", "1"):
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return True
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elif v.lower() in ("no", "false", "f", "n", "0"):
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return False
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else:
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raise argparse.ArgumentTypeError("Boolean value expected.")
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def parse_args():
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parser = argparse.ArgumentParser()
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parser.add_argument("video_folder", type=str) # samples/samples..._vbench_i2v/
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parser.add_argument("model_ckpt", type=str)
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parser.add_argument("--start", type=int, default=0) # start index of dimension to be evaluated
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parser.add_argument("--end", type=int, default=-1) # start index of dimension to be evaluated
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parser.add_argument("--calc_i2v", type=bool, default=True)
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parser.add_argument("--calc_quality", type=bool, default=True)
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parser.add_argument("--calc_i2v", type=str2bool, default=True)
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parser.add_argument("--calc_quality", type=str2bool, default=True)
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args = parser.parse_args()
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return args
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@ -40,7 +51,7 @@ if __name__ == "__main__":
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start_time = time.time()
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if args.calc_i2v:
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if args.calc_i2v == 1:
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my_VBench_I2V = VBenchI2V(torch.device("cuda"), full_info_path, output_dir)
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if args.end == -1: # adjust end accordingly
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args.end = len(i2v_dimensions)
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@ -50,7 +61,7 @@ if __name__ == "__main__":
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kwargs = {}
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kwargs["imaging_quality_preprocessing_mode"] = "longer" # use VBench/evaluate.py default
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if args.calc_quality:
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if args.calc_quality == 1:
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if args.end == -1: # adjust end accordingly
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args.end = len(video_quality_dimensions)
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my_VBench = VBench(torch.device("cuda"), full_info_path, output_dir)
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