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Franck MIGONE's Projects

traffic_sign_recognition icon traffic_sign_recognition

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

tsr-torch icon tsr-torch

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

vehicle-detection icon vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

vehicle-detection-and-tracking-project icon vehicle-detection-and-tracking-project

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.

vehicle_detection_recognition icon vehicle_detection_recognition

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

videos_wordle icon videos_wordle

Code for the manim-generated scenes used in 3blue1brown videos

vision icon vision

This is a simple vehile detection project using Computer Vision

vumi icon vumi

Messaging engine for the delivery of SMS, Star Menu and chat messages to diverse audiences in emerging markets and beyond.

yolo_v3-tensorflow-ipynb icon yolo_v3-tensorflow-ipynb

This repository shows how to deploy YOLO object detection algorithm in tensorflow using python version 3, specifically in Jupyter Notebook.

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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