IBRA NDIAYE's Projects
This code streams a video over the internet using Google remote procedural calls. The video is streamed from server to client, it is processed at the client and the results are sent back to the server.
Repository for the gRPC website and documentation
Home Assistant component to control Sonoff/eWeLink devices with original firmware
All the hipster things in Neural Net in a single repo
Config files for my GitHub profile.
Image Processing uing OpenCV - Image Filtering, Contour Finder, Color Image Processing, QrCode Reader, ...
View images in Vim, because Vim is awesome!
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
intelligent alarm system based on facial recognition and yolov3 + sort
Syntax color theme for JetBrains products inspired by Sublime Text's Monokai Theme
Android application for surveillance with rotating IP camera with motion detection algorithm
The missing bridge between Java and native C++
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Implements the estimation related algorithms
BoofCV examples written in Kotlin
Keras implementations of Generative Adversarial Networks.
Train your own data using SSD in a more clear and simple way(not include source code)
A thorough introduction to Kotlin, aimed at developers with a background in Python or other dynamic languages.
Quick start kotlin gradle DSL
Linux kernel source tree
Learn the skills required to sysadmin a remote Linux server from the commandline.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Cross-platform, customizable ML solutions for live and streaming media.
MediaPipe multi-hand tracking gpu demo with MediaPipe's Android archive library
This is an open-source project for medical imaging research.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba