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WWTOOL

wwtool is a Python library for Computer Vision Research.

It will provide the following functionalities.

  • Basic parse and dump functions for object detection datasets
  • Detection annotation visualization
  • Dataset convert
  • Toolkit for object detection dataset

Requirements

  • Python 3.7
  • Pytorch 1.0+
  • CUDA 8.0+
  • mmcv

Installation

git clone https://github.com/jwwangchn/wwtool.git
cd wwtool
python setup.py develop

Future works

  • Statistic function for object detetion datasets
  • Split large image to sub-images
  • Results generation tools for dota and visdrone dataset
  • Offline data augmentation
  • Online data augmentation
  • Design structures for bboxes and oriented bboxes

Structure

  • scripts
  • tests
  • tools
  • wwtool
    • structures: structures for object detection
    • cnn: CNN Modules by PyTorch
    • models: Models for detection, classification and segmentation
    • ops: C++ or Cython codes for CNN operation
    • datasets: Create and read data from dataset
    • transforms: bbox and image transformation
      • image
      • bbox
    • fileio: file operation
      • image
      • file
      • label
    • visualization: code for visualization
      • image
    • utils: tools for other tasks
      • pid
      • email
      • uart
      • path
      • config
      • progressbar

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Python Toolkit of Computer Vision Research.

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