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coral-additional2

This repo has additional files. The main goal is to anonymously share CORAL related files

dl-learn

This repository contains my implementation of famous deep neural networks. The goals is to get practical experience with deep learning

elasticsearch-grafana-alerts

Shows integration of elastic search (as database) with grafana. We define alerts and generated sample data to trigger alerts.

git-helloworld

First project at GIT

gitignore

A collection of useful .gitignore templates

gst-nv-decode-appsink

Hardware accelerated decoding using Nvidia GPUs

gst-video-filter

gstreamer-python

ipc-sharedmem-webrtc-demo

WebRTC demo streaming video data received over IPC

ml-kubernetes

Deploy a simple ml workload (object detection) and scale it with kubernetes

models

Models and examples built with TensorFlow

ms-thesis-draft

ms-thesis-paper

This repo contains LaTeX code for the paper written on my MS thesis work.

multispectral-image-registeration

This repo contains MATLAB code for two stage multimodal (multispectral) registration. Stage I registration is based on pinhole camera model, relative orientation of two cameras or epipolar geometry. 2nd stage registration uses multimodel matching metrics (MMI & NCCR) to estimate the misregistration effect which is further used to estimate a least squared transform to remove misregistration.

otel-kubernetes

play-with-grafana-mimir

Sets up grafana mimir for long term metric data storage

pole-guide

portfolio

project-teachable-sorter

prometheus-user-metrics

python-storage

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

react-mosh

React course by Mosh Hamedani

rtsp-opencv-sink

Receives video stream over rtsp using opencv

sequdr

This code performs image undistortion and image registeration for multispectral images acquired by sequoia.

vidly

Node js course by Mosh Hamedani

webrtc-gst-demo

Demonstrates simple webrtc call with gstreamer

yolo-training-googlecolab

Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite