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https://github.com/NVIDIA/Model-Optimizer.git
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60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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from pathlib import Path
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from metrics.imagereward import compute_image_reward_metrics
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from metrics.multimodal import compute_clip, compute_clip_iqa
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from utils import load_json_file
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def parse_arguments():
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parser = argparse.ArgumentParser()
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parser.add_argument("--data-path", type=str, required=True, help="Path to the data file.")
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parser.add_argument(
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"--metrics",
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nargs="+", # or nargs="*"
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default=["imagereward"],
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choices=["imagereward", "clip-iqa", "clip"],
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help="Model IDs to run.",
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)
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return parser.parse_args()
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def main(args):
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data = load_json_file(Path(args.data_path))
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results = []
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if "imagereward" in args.metrics:
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results.append(compute_image_reward_metrics(data))
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if "clip-iqa" in args.metrics:
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results.append(compute_clip_iqa(data))
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if "clip" in args.metrics:
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results.append(compute_clip(data))
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if not results:
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raise NotImplementedError(
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"No recognized metrics were provided. Available: 'imagereward', 'clip-iqa', 'clip'"
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)
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print(results)
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if __name__ == "__main__":
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args = parse_arguments()
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main(args)
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