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Name: ITLab Vision Group

Type: Organization

Bio: Computer Vision Research Group at UNN

Location: Nizhini Novgorod State University, Russia

ITLab Vision Group

Build Status Coverage Status Documentation

This project is developed at Nizhny Novgorod State University (CMC faculty, ITLab laboratory) and supported by the Itseez company.

Project maintainers:

Project developers:

Build and Run instructions

Build:

    $ mkdir photofilters
    $ cd photofilters
    $ git clone https://github.com/UNN-VMK-Software/itlab-vision.git
    $ mkdir build
    $ cd build
    $ cmake ../itlab-vision/photoeffects/
    $ make
    $ cd ./bin

Tests execution:

    $ ./photoeffects_test

Samples execution:

    $ ./antique_sample testdata/antique_test.png testdata/antique_texture_test.png 0.7
    $ ./edgeBlur_sample testdata/edgeBlur_test.png
    $ ./filmGrain_sample testdata/filmGrain_test.png 7
    $ ./matte_sample testdata/matte_test.png 25 25
    $ ./vignette_sample testdata/antique_test.png
    $ ./boostColor_sample testdata/boostColor_test.png 0.2
    $ ./fadeColor_sample testdata/fadeColor_test.png
    $ ./glow_sample testdata/glow_test.png 25 0.8
    $ ./sepia_sample testdata/antique_test.png
    $ ./tint_sample testdata/antique_test.png
    $ ./warmify_sample testdata/antique_test.png

ITLab Vision Group's Projects

catboost icon catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cv-summer-camp-2022 icon cv-summer-camp-2022

#CV-SUMMER-CAMP-2022 Репозиторий материалов Летней школы ННГУ им. Н.И. Лобачевского по компьютерному зрению

cvat icon cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

dl-benchmark icon dl-benchmark

Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, etc.

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

openvino-smart-library icon openvino-smart-library

Sample of smart library based on OpenVINO toolkit [https://software.intel.com/en-us/openvino-toolkit]

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