BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
Senior Deep Learning Engineer @NVidia Kaggle Grandmaster Author of pytorch-toolbelt Co-Author of albumentations (No more after 2022)p
PyTorch extensions for fast R&D prototyping and Kaggle farming
7th-place solution code for https://www.kaggle.com/c/aptos2019-blindness-detection/overview.
Camera intrinsics database
OpenCV iOS build script
Sample project for iOS configured to use OpenCV
Open Source Computer Vision Library
OpenCV library installed via NMP
A benchmark tool to compare OpenCV feature detection and descriptors extraction algorithms
Accelerated DL R&D
Winning solution for CryoET object identification challenge
This repository contains source code and pre-trained models for the 2nd place solution of the Overhead Geopose Challenge.
Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.
A sample project demonstrating use of OpenCV library in iOS platform
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
A high-throughput and memory-efficient inference and serving engine for LLMs
4-th place solution (Detection Part) for the BYU - Locating Bacterial Flagellar Motors 2025 competition.
An example of using OpenCV library in server environment using Node.js
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
An example project showing the power of Catalyst for training segmentation model for Inria Sattelite Segmentation Challenge
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
AI Toolkit for Healthcare Imaging
Example of semantic segmentation for CamVid dataset
Share one mouse and keyboard between multiple computers on your desk.
Resources for deep learning with satellite & aerial imagery
A high-level model training framework for PyTorch
Evaluation framework for testing segmentation networks in Keras