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| # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import argparse | |
| import os | |
| import re | |
| from pathlib import Path | |
| import pandas as pd | |
| parser = argparse.ArgumentParser(description="Compare alignment segments generated with different window sizes") | |
| parser.add_argument( | |
| "--base_dir", | |
| default="output", | |
| type=str, | |
| required=True, | |
| help="Path to directory with 'logs' and 'segments' folders generated during the segmentation step", | |
| ) | |
| if __name__ == "__main__": | |
| args = parser.parse_args() | |
| segments_dir = os.path.join(args.base_dir, "segments") | |
| if not os.path.exists(segments_dir): | |
| raise ValueError(f"'segments' directory was not found at {args.base_dir}.") | |
| all_files = Path(segments_dir).glob("*_segments.txt") | |
| all_alignment_files = {} | |
| for file in all_files: | |
| base_name = re.sub(r"^\d+_", "", file.name) | |
| if base_name not in all_alignment_files: | |
| all_alignment_files[base_name] = [] | |
| all_alignment_files[base_name].append(file) | |
| verified_dir = os.path.join(args.base_dir, "verified_segments") | |
| os.makedirs(verified_dir, exist_ok=True) | |
| def readlines(file): | |
| with open(file, "r") as f: | |
| lines = f.readlines() | |
| return lines | |
| stats = {} | |
| for part, alignment_files in all_alignment_files.items(): | |
| stats[part] = {} | |
| num_alignment_files = len(alignment_files) | |
| all_alignments = [] | |
| for alignment in alignment_files: | |
| all_alignments.append(readlines(alignment)) | |
| with open(os.path.join(verified_dir, part), "w") as f: | |
| num_segments = len(all_alignments[0]) | |
| stats[part]["Original number of segments"] = num_segments | |
| stats[part]["Verified segments"] = 0 | |
| stats[part]["Original Duration, min"] = 0 | |
| stats[part]["Verified Duration, min"] = 0 | |
| for i in range(num_segments): | |
| line = all_alignments[0][i] | |
| valid_line = True | |
| if i == 0: | |
| duration = 0 | |
| else: | |
| info = line.split("|")[0].split() | |
| duration = (float(info[1]) - float(info[0])) / 60 | |
| stats[part]["Original Duration, min"] += duration | |
| for alignment in all_alignments: | |
| if line != alignment[i]: | |
| valid_line = False | |
| if valid_line: | |
| f.write(line) | |
| stats[part]["Verified segments"] += 1 | |
| stats[part]["Verified Duration, min"] += duration | |
| stats = pd.DataFrame.from_dict(stats, orient="index").reset_index() | |
| stats["Number dropped"] = stats["Original number of segments"] - stats["Verified segments"] | |
| stats["Duration of dropped, min"] = round(stats["Original Duration, min"] - stats["Verified Duration, min"]) | |
| stats["% dropped, min"] = round(stats["Duration of dropped, min"] / stats["Original number of segments"] * 100) | |
| stats["Misalignment present"] = stats["Number dropped"] > 0 | |
| stats["Original Duration, min"] = round(stats["Original Duration, min"]) | |
| stats["Verified Duration, min"] = round(stats["Verified Duration, min"]) | |
| stats.loc["Total"] = stats.sum() | |
| stats_file = os.path.join(args.base_dir, "alignment_summary.csv") | |
| stats.to_csv(stats_file, index=False) | |
| print(stats) | |
| print(f"Alignment summary saved to {stats_file}") | |