Rsheikh-shab

Android-Tic-Tac-Toe-4-4

Tic Tac Toe game android studio

ATM-Machine

Binary_Dictionary-

Colab-Google

Face-Mask-Detection-Alert-Service

This repo will helps to detect the person is wearing face mask or not and sending desktop notification if the person is without mask.

Social-Distancing-using-Opencv

Social Distancing using Yolov3, Opencv, Euclidean distance

Twitter-Sentiment-Analysis

Analyzed "Apple" sentiment from twitter data

Vehicle-Detection-using-Opencv-and-Cascade

Vehicle Detection using Opencv and Cascade

Yolov3-Object-Detection-with-CPU-or-GPU

Yolov4-with-Tensorflow

YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite. Credit: https://github.com/hunglc007/tensorflow-yolov4-tflite

Rsheikh-shab/Android-Tic-Tac-Toe-4-4

Tic Tac Toe game android studio

Rsheikh-shab/ATM-Machine

Rsheikh-shab/Binary_Dictionary-

Rsheikh-shab/Colab-Google

Rsheikh-shab/Face-Mask-Detection-Alert-Service

This repo will helps to detect the person is wearing face mask or not and sending desktop notification if the person is without mask.

Rsheikh-shab/Social-Distancing-using-Opencv

Social Distancing using Yolov3, Opencv, Euclidean distance

Rsheikh-shab/Twitter-Sentiment-Analysis

Analyzed "Apple" sentiment from twitter data

Rsheikh-shab/Vehicle-Detection-using-Opencv-and-Cascade

Vehicle Detection using Opencv and Cascade

Rsheikh-shab/Yolov3-Object-Detection-with-CPU-or-GPU

Rsheikh-shab/Yolov4-with-Tensorflow

YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4 .weights to .pb and .tflite format for tensorflow and tensorflow lite. Credit: https://github.com/hunglc007/tensorflow-yolov4-tflite

Rsheikh-shab/Encoder-and-Tiny-Calculator

Rsheikh-shab/Exchange-Web-Service

Appoinments

Rsheikh-shab/Fight-against-malaria-epidemics-in-Africa

The purpose of this project is to build a detection system for malaria parasites in images. This would avoid some of the current obstacles of malaria diagnosis such as the lack of expert technicians in low-resource areas. In contrast to most of the previous work we use thick blood smears instead of thin smears. These are the preferred ones for diagnosis, although they make the task harder. We use Convolutional Neural Networks, a particular type of deep neural network, to classify individual patches as containing parasites or not. Then, we use computer vision techniques such as non-maxima suppression to integrate the results and locate each parasite. The results are compared to those obtained with Extremely Randomized Trees and hand-designed features as used in previous work on this dataset (Quinn et al, 2014 [1]). Our results are notably better than the models proposed previously. For a recall of 90% we have obtained a gain in the precision from 37% to 78%, which is enough to already improve the work conditions of laboratory technicians working on malaria diagnosis. Furthermore, the system can be easily extended to the detection of other parasites or blood components without much effort, so several tests may be run at the same time on the blood smears.

Rsheikh-shab/Java-Project-Restuarant

Rsheikh-shab/lauretta.io.test

Rsheikh-shab/MNIST

Rsheikh-shab/ONLINE-FOOD-CAFE-s-ORDERING-SYSTEM

Rsheikh-shab/Online-Health-Products-website

An online health products website was developed for web technology course. Though this is not completed work as we did not get time to make this website.

Rsheikh-shab/PPE-and-Fire-Detection

PPE and Fire Detection using Yolov8

Rsheikh-shab/Rsheikh-shab.github.io

Rsheikh-shab/yolov5-onnx-tensorrt

How to run yolov5 model using TensorRT.