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followers: 3.0 following: 24.0 repos: 67.0 gists: 9.0

Name: YOUSSEF AIDANI

Type: User

Company: Upwork

Bio: A machine learning engineer working in Computer Vision field.

Location: Tunisia-Turkey-Germany

Hi ML Fanatics 👋👋👋

I am an ML guy Only working on Computer Vision tasks I am looking to share my experience on different tasks of CV

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└── COMPUTER VISION/
    ├── Image Classification
    ├── Object Detection
    ├── Image Segmentation/
    │   ├── Semantic Segmentation
    │   ├── Instance Segmentation
    │   └── Panoptic Segmentation
    └── Object Tracking/
        ├── Correlation Based Object Tracking
        └── LSTM Based Object Tracking
    └── Super Resolution/
        ├── Video Super Resolution
        └── Image Super Resolution

YOUSSEF AIDANI's Projects

mask_rcnn

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

mediapipe

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

mlnotify

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.

openh264

Open Source H.264 Codec

openvino

OpenVINO™ Toolkit repository

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

pentanol2

plate-tracker

Plate Tracker is an on image plate detector and on video plate tracker. Our gloal is to log all the cars seen in a video scene by plate number

product-s-name-and-price-recognition-on-store-shelf

High accuracy image classification model was trained to identify whether a shelf is empty or not. Tensorflow Object Detection, PyTesseract and image processing was used to recognise the product's name and price which was sent through email.

product-search-in-supermarket-shelves

Project: Product Search in Supermarket Shelves | | COMP431:Computer Vision Project

pt

pysparkjob

A Pyspark Job That loads a Java Spark pre-trained job and uses it to make predictions on test data

python-ml-turbofan

rcnn

R-CNN: Regions with Convolutional Neural Network Features

review_object_detection_metrics

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

rulestimator

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.