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  • šŸ‘‹ Hi, Iā€™m Ibra Ndiaye , computer vision engineer at Maf Roda Agrobotic
  • šŸ‘€ Iā€™m interested in Deep learning , IA, HPC and Robotics ...
  • šŸŒ± Iā€™m currently learning robotics
  • šŸ“« How to reach me: [email protected]

IBRA NDIAYE's Projects

grpc-video-streaming icon grpc-video-streaming

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.

grpc.io icon grpc.io

Repository for the gRPC website and documentation

hipsternet icon hipsternet

All the hipster things in Neural Net in a single repo

image.vim icon image.vim

View images in Vim, because Vim is awesome!

imagezmq icon imagezmq

A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.

imutils icon imutils

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.

ip_camera_android icon ip_camera_android

Android application for surveillance with rotating IP camera with motion detection algorithm

javacpp icon javacpp

The missing bridge between Java and native C++

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

kitti-ssd icon kitti-ssd

Train your own data using SSD in a more clear and simple way(not include source code)

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

midas icon midas

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"

mmtracking icon mmtracking

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 icon mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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