Shaun ZhouandClaude Opus 5
af22dc639c
- yolo: images/ 与同层 labels/ 的路径约定、`class_id cx cy w h` 归一化行解析 （兼容分割多边形取外接矩形）、data.yaml 读写；缺失或空 txt 即无缺陷样本 - film_defect: 抛出图像、框、图像级标签；label_mode 决定多热向量还是互斥下标 - transforms: 图框同步的 Resize / Letterbox / CenterCrop / RandomResizedCrop / 翻转 / ColorJitter / GaussianBlur / PerImageStandardize - target_encoder: 高斯半径与 heatmap / wh / offset / mask 监督信号编码 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
23 lines
712 B
Python
23 lines
712 B
Python
"""数据集：抛出样本的 Dataset 类与相应的数据变换、标签编码。"""
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from datasets.build import build_dataloader, build_dataset
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from datasets.film_defect import FilmDefectDataset, collate_fn
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from datasets.registry import DATASETS
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from datasets.target_encoder import CenterTargetEncoder
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from datasets.transforms import build_transforms
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from datasets.yolo import format_label_lines, load_classes, parse_label_file, write_data_yaml
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__all__ = [
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"build_dataset",
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"build_dataloader",
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"FilmDefectDataset",
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"collate_fn",
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"DATASETS",
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"CenterTargetEncoder",
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"build_transforms",
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"parse_label_file",
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"format_label_lines",
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"load_classes",
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"write_data_yaml",
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]
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