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tools for voc or coco

Project description

图像处理工具包

  • 处理 COCO, VOC 格式的数据集
  • 包含数据集互转、切分、检查
  • 对coco格式数据进行评估(基于漏检率、错检率)

数据集格式说明

VOC

VOC  
  |  
  |---------Annotations  
                |-------xxx.xml  
  |---------ImageSets  
                |  
                |-------Main    
                         |-------trainval.txt  
  |---------JPEGImages  
                |-------xxx.jpg
  |---------labels.txt
  
# ImageSets 非必须

COCO

COCO
  |  
  |---------Annotations  
                |-------train.json
  |---------train  
                |-------xxx.jpg

使用方法

  • pip 安装
pip install cspdataset

使用方法

  • pip 安装

pip install cspdataset

  • 命令行式使用

datatools COMMAND

  • 参数说明

usage: datatools.py [-h] --form {coco,COCO,VOC,voc} --data_dir DATA_DIR
[--split]
[--division_ratio DIVISION_RATIO [DIVISION_RATIO ...]]
[--transform] [--output_transform OUTPUT_TRANSFORM]
[--check] [--output_check OUTPUT_CHECK]
[--labelfile LABELFILE] [--eva EVA]

tools for voc/coco dataset
optional arguments:
-h, --help show this help message and exit
--form {coco,COCO,VOC,voc} the form of the dataset
--data_dir DATA_DIR the dir of the dataset
--split Set a switch to split
--division_ratio DIVISION_RATIO [DIVISION_RATIO ...] data segmentation ratio
--transform Set a switch to transform
--output_transform OUTPUT_TRANSFORM dir for output
--check Set a switch to check
--output_check OUTPUT_CHECK dir for output
--labelfile LABELFILE the labels.txt from the platform

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