libtorch_examples

This repo contains tutorials to use libtorch (Pytorch C++ API) for computer vision applications.

Follow the codes in this order:

1. image_classification_pretrained
2. image_classification_transfer_learning

There will be other tutorials for object detection and image segmentation.

How to build?

First, download and unzip the pre-built version of libtorch:

cd ~
wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip
unzip libtorch-shared-with-deps-latest.zip

Then, install torchvision:

pip3 install torchvision

Then go inside a directory (e.g. image_classification_pretrained) and build the executable:

cd image_classification_pretrained
python3 save_jit.py
mkdir build
cd build
cmake -DCMAKE_PREFIX_PATH=~/Pytorch/libtorch/ ..
make
./classify ../traced_resnet_model.pt ../data/imageNetLabels.txt ../data/panda.jpg

Appendix

For more details read my posts here abd here.