CornerNet_easy_use

This is a easy used CornerNet (https://github.com/princeton-vl/CornerNet) project.

In the original project, author use factory model to create CornerNet model and read data by his own wheel. That is not easy for others' understand. So I simplify this project, and use pytorch's dataset and dataloader.

Compiling Corner Pooling Layers

You need to compile the C++ implementation of corner pooling layers.

cd <CornerNet_easy_use dir>/models/py_utils/_cpools/
python setup.py install --user

Compiling NMS

You also need to compile the NMS code (originally from Faster R-CNN and Soft-NMS).

cd <CornerNet_easy_use dir>/external
make

Train and test

• train.py is a sample code for train voc, I use tensorboardX to show training info
• test.py is sample code for test you images, it will draw rect on the image