Learn OpenCV : C++ and Python Examples

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Go package for computer vision using OpenCV 4 and beyond.

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

A list of resources in different fields of Computer Science (multiple languages)

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Semantics for GNU Image Manipulation Program

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

This is a repository for an object detection inference API using the Tensorflow framework.

Here lies all the exercises I implement and share in my website

COCO Stuff API

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

Plant Disease Detector Web Application

Vision framework example for my article. https://medium.com/compileswift/swift-world-whats-new-in-ios-11-vision-456ba4156bad

capsule networks that achieves outstanding performance on the German traffic sign dataset

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick

PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

A tool of running deep learning algorithms for semantic segmentation with satellite imagery

CSGNet: Neural Shape parser for Constructive Solid Geometry

Visual odometry based on Intel® RealSense™ devices

This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

Tutorials for learning OpenCV in Python from Scratch