otx.md

OTX (OpenVINO Training eXtensions)

Install dependencies

sudo apt update
sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev gcc-multilib dkms mesa-utils
sudo apt upgrade

Download and install CUDA 11.7

Note, link below is for Ubuntu20.04. For other versoins please refer CUDA Toolkit 11.7 Downloads

cd ~/Downloads/
wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
sudo sh cuda_11.7.0_515.43.04_linux.run

OTX install

# Create virtual env.
python3 -m venv .otx

# Activate virtual env.
source .otx/bin/activate

pip install wheel setuptools

# install command for torch==1.13.1 for CUDA 11.7:
pip install torch==1.13.1 torchvision==0.14.1 --extra-index-url https://download.pytorch.org/whl/cu117
pip install otx[full]

OpenVINO hello_classification

https://raw.githubusercontent.com/openvinotoolkit/openvino/master/samples/python/hello_classification/hello_classification.py

Dataset

A command combination that shows number of files under given directory.

find ./ -maxdepth 2 –type d | while read –r dir; do printf “%s:\t” “$dir”; find “$dir” –type f | wc –l; done

Links

• Flowers: http://download.tensorflow.org/example_images/flower_photos.tgz

• Dogs & cats: https://drive.google.com/file/d/1_ItEl2QLWhYtaTeyOP90jCZmB2ofcQW0/view?usp=drive_link