Eugene Khvedchenya

pytorch-toolbelt. PyTorch extensions for fast R&D prototyping and Kaggle farming

OpenCV-Tutorial. A sample project demonstrating use of OpenCV library in iOS platform

opencv-ios-template-project. Sample project for iOS configured to use OpenCV

OpenCV-iOS-build-script. OpenCV iOS build script

OpenCV-Features-Comparison. A benchmark tool to compare OpenCV feature detection and descriptors extraction algorithms

CloudCV. An example of using OpenCV library in server environment using Node.js

xView3-The-First-Place-Solution. Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.

Kaggle-2019-Blindness-Detection. 7th-place solution code for https://www.kaggle.com/c/aptos2019-blindness-detection/overview.

xView2-Solution. Python

Catalyst-Inria-Segmentation-Example. An example project showing the power of Catalyst for training segmentation model for Inria Sattelite Segmentation Challenge

segmentation-networks-benchmark. Evaluation framework for testing segmentation networks in Keras

Kaggle-2024-CryoET. Winning solution for CryoET object identification challenge

Kaggle-2020-Alaska2. Python

Camera-intrinsics-database. Camera intrinsics database

CloudCVBackend. A C++ backend module for CloudCV

Kaggle-Salt. Python

jsfeat. JavaScript Computer Vision library.

NEON-ASM-BGRA-to-Grayscale-conversion. Objective-C

nan-marshal. Data type marshalling for NAN module

Catalyst-CamVid-Segmentation-Example. Example of semantic segmentation for CamVid dataset

opencv. Open Source Computer Vision Library

nan-check. Arguments checking for NAN module

iPTAM. PTAM for the iPhone

npm-native-opencv. OpenCV library installed via NMP

albumentations. Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

catalyst. Accelerated DL R&D

Kaggle-2025-BYU. 4-th place solution (Detection Part) for the BYU - Locating Bacterial Flagellar Motors 2025 competition.

Afterburner. A high-level model training framework for PyTorch

DrivenData-2021-Geopose-Solution. This repository contains source code and pre-trained models for the 2nd place solution of the Overhead Geopose Challenge.

RoadDetector. Winning Solutions from SpaceNet Road Detection and Routing Challenge

SOTA. Just a collection of pretrained weights

Kaggle-2018-Airbus. Python

SN7-Solution.

augmentoo. Python

cvtalks-source. Source for github pages

SwiftCV. Swift bindings for OpenCV

flann. Fast Library for Approximate Nearest Neighbors

CppCoreGuidelines. The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

colab. A Continual AI repository for tutorials and demo running on Google Colaboratory.

ansible-nvidia. Shell

opencv-markdown-logger. A lightweight easy-to-use markdown-based logger

workshop-gan-2018. Python

yolov3. YOLOv3 in PyTorch > ONNX > CoreML > iOS

pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

SfM-Toy-Library. A toy library for Structure from Motion using OpenCV 3.0+