All kinds of utils for format convertion or something else (described in readme files)
Each python file matches some samples inside.
More details are marked in the python files as annotation or README.md file inside the folder.

Some conversion files included here,I'll update it if necessary.

• txt2voc
  The tool inside helps you to conver txt in certain format to voc format.
  Provided txt labels ground truth in form of NWPU VHR-10 , it's not a hard job to change related code for your owm labels.
  NWPU VHR-10's label is showed as follow:
  

2,(270,296),(358,685)
2,(366,278),(453,661)
4,(541,633),(727,698)

• labelme2COCO
  It's a bit hard to finish this work , cause the widespread wrong version about it , I hate plagiarism :)
  This tool helps you to convert json file created by labelme to COCO style for training .
  Attentions:
  1.If you want to label the segmentation mask , there is no need to label bbox!(Or bugs arised)
  2.When using labelme , pls named mask according to COCO format,such as vehicle_car_1.(supercategory,category,instance id)
  
• voc2coco
  

• extraction
  User-friendly work for extracting imformation from xml files. And an example is attached for better understanding.
  

• augmentation
  Various kinds of data augmentation implementions as well as some demos are concluded inside .

• drawbox
  Useful tool for drawing bbox through providied points.The only customed part is your points obtaining function.

• data_partition
  Helpful of partition of dataset.
• img_format_trans
  A simple tool for conversion of image format.
• visdom-train-example
  A example for training while monitoring on loss and ac curve.More details and attention have been attached to file inside.
• python-cmd
  Linux command execution through python file , provided as a easy but sufficient demo.
• shuffle
  Randomly generate small subdataset from the dataset.
• match_check
  Verify if images and annotations do not correspond and output the associated file names.