Repo for new students willing to learn Pytorch. It implements a simple object detector based on VGG16 with two braches -- probability of the object being in the image and its bounding box. Images must be of size 224x224x3.
To understand the repo I recommend first doing the official Pytorch Beginner Tutorials.
Apart from PyTorch and Tensorboard:
pip install torchvision # pretrained VGG16 parameters
pip install matplotlib # for visualization
pip install tensorboardX # for visualization
Train:
bash launch/run_train.sh
Test:
bash launch/run_test.sh
For any doubt contact albert.pumarola.peris at gmail.com