Shubham Vadagave's Projects
ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc
Age and gender detection algorithm based on Adrian Rosebrock's code
Ai4Prod is the first ecosystem which makes easy for any Machine Learning engineer using AI in production with C++.
A curated list of deep learning resources for computer vision
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are tested on mnist dataset which is attached along the project.
A technical report on convolution arithmetic in the context of deep learning
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Recognizing hand drawn electrical schematics.
Example for using OpenCV as a dependency with Emscripten (WebAssembly)
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Notes and code on computer vision course ,PyImageSearch Gurus.
Learning computer vision
Code for data preparation and for how to train Mask RCNN model
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Code related to the course "Introduction to Tensorflow for computer vision"
ANPR using CNN
Scrape bot, to get you an offline copy of tutorials
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Cross-platform, customizable ML solutions for live and streaming media.
Machine Learning Resources, Practice and Research
Modern C++ Programming Course (C++11/14/17/20)
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Contains implementation of multi-threaded object detection followed by tracking
Makes ARM NEON documentation accessible (with examples)
Implementation of Non-Maximum Suppression algorithm