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mohamedamine99/README.md

Hi 👋, I'm Mohamed Amine

I am a computer vision engineer with experience in embedded software development.

Welcome to my GitHub profile! I am a computer vision engineer with a background in embedded software development. Here you will find a collection of my personal projects and contributions to open-source projects. My expertise lies in utilizing machine learning and computer vision techniques to solve real-world problems.

I am always eager to learn new technologies and techniques, and I am excited to continue growing as a developer in this field.
Please feel free to check out my projects and contributions, and let me know if you have any questions or comments.

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⚙️ My Projects :

🎨AI Artistic Generation projects:
🔬 My model exploration projects :
🔎 My object detection projects :
⚙️ My image classification projects :
📖 My old projects :

💻 What I'm currently working on

📌 Maintaining and improving my own custom made dlib functions for face recognition:
  • Adding more exception handling features .
  • Adding KNN algorithm for facial features search to reduce search time and improve recognition precision when dealing with large csv files.
  • Adding more database functionnalities.
  • Adding object tracking functionnalities to increase frame processing speed and overall FPS througput.

📌 Training and deploying a real-time custom object detector.
📌 Creating AR interactive video games with Unity 3D and hand gestures.

📖 What I'm currently learning

  • Custom Object Detection using YOLO algorithms.
  • Deep Learning and image processing with Python, tensorflow and keras.
  • Deep Learning with PyTorch.
  • MLOps.
  • GANs : Generative Adversarial Networks.
  • Automation with Python.

💻 Programming languages and IDEs :

  • Languages:   Python C C++

  • IDEs :   PyCharm Spyder Colab Sublime Text VS studio

🛠️ Tools and Frameworks :

📚 ML frameworks :
Tensorflow Keras Scikit-learn Dlib
tensorflow keras Scikit-learn Dlib
📊 Data visualization and image processing :
Matplotlib OpenCV Pillow Pandas Numpy
matplotlib OpenCV Pillow Pandas numpy
♻️ Version control :
Git Github
git github
💻 Development boards :
STM32 Arduino Esp32

📫 Where to find me

Pinned

  1. Object-tracking-and-counting-using-YOLOV8 Object-tracking-and-counting-using-YOLOV8 Public

    This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for…

    Jupyter Notebook 40 12

  2. Neural-Style-Transfer-with-Python Neural-Style-Transfer-with-Python Public

    This repository provides an easy-to-use implementation of neural style transfer, allowing you to apply the artistic style of one image to the content of another. Choose between the functional appro…

    Jupyter Notebook 2

  3. YOLOv8-custom-object-detection YOLOv8-custom-object-detection Public

    This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.

    Jupyter Notebook 17 3

  4. Real-time-facial-recognition-with-python-dlib Real-time-facial-recognition-with-python-dlib Public

    This project uses the dlib library for facial recognition and the OpenCV library for webcam and video processing. Feel free to use and modify the code for your own projects!

    Python 5 1

  5. Visualizing-what-convnets-learn Visualizing-what-convnets-learn Public

    This Github repository explains the impact of different activation functions on CNN's performance and provides visualizations of activations, convnet filters, and heatmaps of class activation for …

    Jupyter Notebook 7

  6. Transfer-Learning-with-MobileNetV2-for-Cats-vs-Dogs-Image-Classification Transfer-Learning-with-MobileNetV2-for-Cats-vs-Dogs-Image-Classification Public

    This project is an image classification project based on a transfer learning approach using with MobileNetV2 architecture.

    Jupyter Notebook 4