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Hi πŸ‘‹, I'm Moaz

A Machine Learning Engineer

Latest Projects

Counting curls and making sure the elbows are tucked in using Yolov7 pose estimation and OpenCV.


Using Yolov5, DeepSort and Supervision to track the number of sacks loaded onto and off of a truck.


A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.

Features

  • Caches the model for faster inference on both CPU and GPU.
  • Supports uploading model files (<200MB) and downloading models from URL (any size)
  • Supports both images and videos.
  • Supports both CPU and GPU inference.
  • Supports Custom Classes and changing Confidence.

blog posts


Labelling your custom datasets for object detection can take a huge time. So why don’t we use pretrained models to auto-label our objects for us?

In this article, I will explain how you can use pretrained models to speed up the labelling process for your next object detection project

Moaz Taha's Projects

analyzing-a-b-test-results icon analyzing-a-b-test-results

Analyzing the results of an A/B test run by an e-commerce website to understand if they should implement the new page, keep the old page or run the experiment longer.

arabic-name-identification icon arabic-name-identification

Dockerizing a flask app that takes 3-word arabic sentence and returns if it is a correct Arabic name or not using TF 2.

gapminder-analysis- icon gapminder-analysis-

EDA of the GapMinder dataset based on DGP/Capita, Fertility rates, HDI, Internet users and Education Index

gym-assistant-using-yolov7-pose-estimation icon gym-assistant-using-yolov7-pose-estimation

This project is about counting curls and making sure elbows are tucked in using YOLOv7 for pose estimation. I'm using OpenCV and YOLOv7 to detect the human body parts and then estimate the angle between each three points using the dot product.

image-captioning icon image-captioning

Generating Image Captions using CNNS, RNNS and Attention layers in Pytorch.

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