Shadi's repositories
-Accelerate-Deep-Learning-on-Raspberry-Pi
Accelerate Deep Learning on Raspberry Pi, published by Packt
camera-fusion
Multiple cameras calibration and fusion with OpenCV Python.
Deep-learning-Fundamentals
Deep Learning Fundamentals with Keras - IBM - edx courses
Deep-Learning-with-python
Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition and artificial intelligence (including the famous AlphaGo). In this course, you'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python.
DeepLearningBookCode-Volume2
Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner
dotfiles
My dotfiles and personal preferences
excellenteam-mobileye-project
Get two frames from vehicle camera videos , and estimate the distance between the vehicle and the traffic sign . Divide the problem to two subproblems : Matching Problem , vision tasks such as stereo and motion estimation require finding corresponding features across two or more views. To solve that we used Harris Corner Detector The depth estimation problem, solving by triangle imagination equation .
German-Traffic-Sign-Classification-Using-TensorFlow
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
GTSRB-Traffic-Sign-Image-Multi-Class-Classification-Part1
Traffic Sign Recognition Project Part I (RandomForest, XGBoost, NNs, etc) utilizing the RandomSearch hypertuning algorithm. Thresholding, edge detection, PCA and feature selection are explored.
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
install-Tensorflow-on-Drive-PX2
Explain how to install tensorflow on NVIDIA DRIVE PX2
learnopencv
Learn OpenCV : C++ and Python Examples
MachineLearningWithPython
Starter files for Pluralsight course: Understanding Machine Learning with Python
Object-Counter-using-Opencv-Instance-Segmentation
Object Counter using Opencv Instance Segmentation - Mask R-CNN
OSSDC-VisionBasedACC
Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)
PyImageSearch-Gurus-Course
Learning computer vision
Python-Interview-Problems-for-Practice
40+ Common code and interview problems solved in Python (it's growing...) Please go through the README.md before starting.
TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
tensorflow_recipes
Tensorflow conda recipes
udemy_PythonOpenCVDL
Course Study Repo for Python for Computer Vision with OpenCV and Deep Learning Course
video-capture-async
Multithreaded video capture with OpenCV and Python
video2calibration
Camera intrinsic parameters calibration from chessboard video sequence.
Week-03-Group4
In Week 3 we develop a Face Type identifying software. This is our first In class Project. For this task we used dlib library together with 68 Face Landmarks detecting algorithm.
Youtube_Tutorials
Youtube channel programs and resources.
ZEDCamera_Detection_Distance
Using zed camera for live to test Car and Person detection along with distance estimation.