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Binocular-Flame-Localization-Dataset

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Publish Binocular Flame Localization Dataset (part 2)

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  1. README.md +106 -0
  2. SHA256SUMS.txt +345 -0
  3. labelimg/140.201/Image1_0000000125260984.xml +27 -0
  4. labelimg/150.271/Image0_0000000125482622.xml +27 -0
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README.md ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: Binocular Flame Localization Dataset
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+ language:
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+ - zh
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+ tags:
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+ - stereo-vision
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+ - calibration
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+ - object-detection
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # Binocular Flame Localization Dataset
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+
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+ 双目火焰定位精简数据集（20241227）
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+
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+ 本数据集从原始 `20241227` 数据中抽取，并补充 `20241227_origin/calibration/all/right` 的对应右相机标定图，包含 **190 张原分辨率无损 PNG** 和 **150 份 Pascal VOC XML 检测标注**。仅保留 `Image0` 与 `Image1`，完全排除 `Image2` 及红外标定图。
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+
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+ ## 数据组成
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+
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+ 15 个距离目录各保留 5 对同编号的 `Image0 + Image1`，共 150 张图片；标定部分保留 20 对同编号的左右相机图片，共 40 张，其中 `left` 为 `Image0`，补充的 `right` 为 `Image1`。
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+
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+ | 距离目录名 | 配对数 | 图片数 | XML 数 |
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+ | --- | ---: | ---: | ---: |
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+ | 10.646 | 5 | 10 | 10 |
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+ | 20.444 | 5 | 10 | 10 |
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+ | 30.594 | 5 | 10 | 10 |
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+ | 40.603 | 5 | 10 | 10 |
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+ | 50.601 | 5 | 10 | 10 |
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+ | 60.912 | 5 | 10 | 10 |
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+ | 70.476 | 5 | 10 | 10 |
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+ | 80.753 | 5 | 10 | 10 |
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+ | 90.673 | 5 | 10 | 10 |
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+ | 100.374 | 5 | 10 | 10 |
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+ | 110.452 | 5 | 10 | 10 |
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+ | 120.808 | 5 | 10 | 10 |
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+ | 130.484 | 5 | 10 | 10 |
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+ | 140.201 | 5 | 10 | 10 |
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+ | 150.271 | 5 | 10 | 10 |
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+ | calibration/left | — | 20 | 0 |
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+ | calibration/right | — | 20 | 0 |
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+ | 合计 | 95（含标定 20 对） | 190 | 150 |
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+
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+ 所有图片的尺寸均为 5472 × 3648，RGB。距离目录名按原样保留，其单位尚未确认。`Image0`、`Image1` 是原始相机标识，其左右对应关系尚未确认，不作推断。标定目录 `left` 也是原始目录名，不作为距离图相机物理方位的额外依据。
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+
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+ ## 抽样与无损转换
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+
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+ 对每个距离目录，先按文件编号升序排列所有完整的 `Image0 + Image1` 配对，再选取索引 `floor(i × (N−1) / 4)`，其中 `i=0…4`。标定左图同样按编号升序，选取 `floor(i × (N−1) / 19)`，其中 `i=0…19`，再从补充的 right 目录取同编号右图，形成 20 对。索引从 0 开始，包含首尾。
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+
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+ `70` 目录的样本编号包含在 `70.476` 中，因此不重复抽样。未收录 GA、程序、缓存及其他处理结果。BMP 转为 PNG 时不缩放、不裁剪、不改变颜色模式。每张输出均与原图比较尺寸、模式及解码像素的 SHA-256，验证像素完全一致。
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+
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+ ## 文件组织
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+
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+ ```text
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+ 10.646/ … 150.271/ # 每个目录 5 对 Image0 / Image1 PNG
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+ calibration/left/ # 20 张 Image0 PNG
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+ calibration/right/ # 20 张同编号 Image1 PNG
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+ labelimg/<距离目录>/ # 与所选距离图一一对应的 XML
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+ metadata.csv # 190 行图片元数据
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+ manifest.jsonl # 原图、输出、像素及标注校验信息
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+ summary.json # 数量、体积和验收结果
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+ SHA256SUMS.txt # 除自身外，所有交付文件的 SHA-256
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+ build_subset.py # 可重复执行的抽样和验证脚本
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+ ```
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+
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+ 图片编号保持不变，只有扩展名从 `.bmp` 改为 `.png`。XML 的 `filename` 已更新为 PNG 文件名，`path` 为相对于数据集根目录的图片路径；类别、框坐标和其余标注内容保持不变。XML 路径解析应以数据集根目录为基准。
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+
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+ `metadata.csv` 使用 UTF-8，字段为：`file_name`（图片相对路径）、`sample_id`（带距离或标定前缀的组编号）、`distance_group`（原始距离目录名，标定为空）、`camera_id`、`purpose`（`distance` 或 `calibration`）、`annotation_file`（XML 相对路径，标定为空）。同一对图片共享 `sample_id`。读取 CSV 时，应将 `distance_group` 作为字符串处理。
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+
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+ ## 读取示例
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+
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+ ```python
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+ import csv
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+ from pathlib import Path
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+ from PIL import Image
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+
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+ root = Path("20241227_mini")
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+ with (root / "metadata.csv").open(encoding="utf-8", newline="") as f:
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+ samples = list(csv.DictReader(f))
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+ with Image.open(root / samples[0]["file_name"]) as image:
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+ print(samples[0]["sample_id"], image.size)
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+ ```
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+
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+ Hugging Face 仓库：[Binocular Flame Localization Dataset](https://huggingface.co/datasets/yang1002/Binocular-Flame-Localization-Dataset)。`README.md` 是数据集说明，`metadata.csv` 中的 `file_name` 关联图片；可参考 [Hugging Face 图片数据集文档](https://huggingface.co/docs/hub/datasets-image)。上传时以 `SHA256SUMS.txt` 所列文件及该校验清单自身为白名单，排除 Windows 缩略图缓存和其他额外文件。
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+
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+ ## 验收与体积
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+
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+ 图片数量：190；XML 数量：150；全部图片已验证解码像素一致，全部标注已验证除文件名与路径外内容一致。
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+
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+ 所选原始 BMP 合计 10.597 GiB；PNG 合计 3.750 GiB，为原始 BMP 的 35.39%，减少 64.61%。完整交付目录体积见 `summary.json`。
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+
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+ 校验文件：`manifest.jsonl` 记录每张原图、PNG 和标注的 SHA-256；其中 `source_collection=main` 的原图相对路径基于原始 `20241227` 目录，`source_collection=calibration_right` 的原图相对路径基于补充的 right 目录。`SHA256SUMS.txt` 用于检查文件传输后的完整性。
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+
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+ ## 可复现构建
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+
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+ 需要 Python 3.10+ 和 Pillow。输出目录必须是新的目录：
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+
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+ ```text
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+ python build_subset.py --source <原始20241227目录> --calibration-right-source <补充right目录> --destination <新输出目录> --workers 3
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+ ```
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+
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+ 如果构建被中断，可对同一输出目录加 `--resume`；已有 PNG 仍会重新与原始图片验证，不会跳过校验。
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+
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+ ## 使用说明
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+
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+ 这是用于展示、下载和流程验证的小型子集，未划分训练集与测试集，未确认标定板规格、相机参数或距离单位。保留原有标注，不额外宣称标注质量。许可证及授权条款尚未提供，本数据集未自行指定许可证；正式发布时由数据所有者补充。
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