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Name: dexception
Type: User
Bio: .....:::We work in the Dark , we Get what we want ... Our curiosity is our passion & our passion is our task ... The rest is the Madness of Art:::.....
Location: Rio de Janeiro
Name: dexception
Type: User
Bio: .....:::We work in the Dark , we Get what we want ... Our curiosity is our passion & our passion is our task ... The rest is the Madness of Art:::.....
Location: Rio de Janeiro
code for Holistically-Nested Edge Detection
Python prototypes of image processing methods for Darktable modules
Implementation of Super Resolution CNN in Keras.
Dear ImGui: Bloat-free Immediate Mode Graphical User interface for C++ with minimal dependencies
A small repo for testing various API designs for images
Inertial Navigation Filter
MXNet OCR implementation. Including text recognition and detection.
Python implementation of the IOU Tracker
Practice, Day 1 -- Development Tools
Kaadugal is a parallelized multi-core C++ implementation of the random forests algorithm for classification, regression, and structured prediction problems.
Kalman Filter for Pose estimation using Lie Algebra
A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
"NASNet" models in Keras 2.0+ with weights
A Keras implementation of YOLOv3 (Tensorflow backend), which I used to train an object detector for the Kaggle 2018 "Google AI Open Images - Object Detection Track" competition
Code for training ImageNet (ILSVRC2012) image classification models from scratch
Implementation of FAST feature detector for computer vision (Rosten 2006) using AVX2 to outperform canonical implementation by up to 600%.
Fast K-Nearest Neighbor search with GPU
Data Preparation for Satellite Machine Learning
Four landmark detection algorithms, implemented in PyTorch.
Visual Relationship Detection
Fastest CPU implementation of the LATCH 512-bit binary feature descriptor; fully scale- and rotation-invariant
This is a C++ implementation of AAAI2019 paper LDES tracker. Now branch square is available, which uses square templates
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Just a repository of my effort to learn CUDA. Primarily interested in using CUDA to accelerate stereo vision and machine learning aglorithms. Also contains some C and C++ code.
An Iterative Optimization Algorithm for Lens Distortion Correction Using Two-Parameter Models, Daniel Santana-Cedrés, Luis Gómez, Miguel Alemán-Flores, Agustín Salgado, Julio Esclarín, Luis Mazorra, Luis Álvarez
Intel OpenVINO Implementation of the paper of LFFD: A Light and Fast Face Detector for Edge Devices
libcvd - efficient and easy to use C++ computer vision library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.