fadwaalazzo Goto Github PK

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fadwaalazzo's Projects

people-counter

Deep learning project for people detection and tracking Technologies: Python 3, OpenCV, Caffe

people-counting-pose

Odin: Pose estimation-based tracking and counting of people in videos

people-tracking-with-age-and-gender-detection

A combination between people tracking and age and gender detection

potholes-detection

This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.

python-password

Desktop password manager with material design standard.

python-password-generator

PyPass - a module for secure password generation made in Python.

python-password-locker

First Python IP that allows users to generate and store passwords for various accounts.

python-vnc-viewer

Automatically exported from code.google.com/p/python-vnc-viewer

rnn

Recurrent Neural Network library for Torch7's nn

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important component in transportation maintenance which is labor intensive and requires domain expertise. Automatic detection of road damage is an important task in transportation maintenance for driving safety assurance. The intensity of damage and complexity of the background, makes this process a challenging task. A deep-learning based methodology for damage detection is proposed in this project after being inspired by recent success on applying Deep- learning in Computer Sciences. A dataset of 9,053 images is taken with the help of a low cost smart phone and a quantitative evaluation is conducted, which in turn demonstrates that the superior damage detection performance using deep-learning methods perform extremely well when compared with features extracted with existing hand-craft methods. Using convolutional neural networks to train the damage detection model with our dataset, we use the state-of-the-art object detection method, and compute the accuracy and runtime speed on a GPU server. At the end, we show that the type of damage can be distinguished into eight types with acceptable accuracy by applying the proposed object detection method.

roaddamagedetector

rude-carnie

Age/Gender detection in Tensorflow

seclists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

sketch-object-recognition

surface-inspection-defect-detection-dataset

This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc