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项目作者： sanjeev309

项目描述 ：
A python tool to create synthetic bounding box data using black background and white boxes
高级语言： Python
项目地址: git://github.com/sanjeev309/synthetic_bbox_regression_db_tool.git
创建时间： 2019-02-13T20:03:00Z
项目社区：https://github.com/sanjeev309/synthetic_bbox_regression_db_tool
开源协议：MIT License
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Synthetic Bounding-Box Regression Database Tool

A Python tool to create synthetic bounding-box data for evaluation of deep regression techniques.

Getting Started

  • Clone the repo into your folder

    git clone https://github.com/sanjeev309/synthetic_bbox_regression_db_tool.git

  • Open main.py and change values of TOTAL_IMAGES, IMAGE_DIMENSION and PADDING if required.

  • Run the program using python3 main.py

  • The Images and target co-ordinates are saved in numpy format in npy files data.npy and target.npy respectively.

  • The images are stacked along the 0th axis in data whereas the corresponding index of target contains the 4 coordinates [x1, y1, x2, y2]

    • where x1,y1 are co-ordinates of top-left corner of rectange res.
    • where x2,y2 are co-ordinates of bottom-right corner of rectange res.

Prerequisites

Python3 and OpenCV 3.2

Data Structure

data.npy

target.npy

Sample Data

Data :

Target :

[0.37, 0.31, 0.91, 0.81]

Author

License

This project is licensed under the MIT License - see the LICENSE file for details