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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepcamera

Privacy is the most important issue for the AI face recognition camera. Open source and BYOD is the only way to solve privacy issue. SharpAI DeepCamera provides private deployment architecture to save all your information on your own devices.

deepcar

Fine-grained detection on Vehicle Model/Make

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeptextspotter

deepvideoanalytics

A distributed visual search and visual data analytics platform.

defect-detection

Defect detection based on OpenCV and Keras approach

defectdetectiondemo

Textile defect detection using OpenCVSharp

demo2program

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

description-based-person-identification

Locating a particular person in a given surveillance video using a set of soft-biometric queries such as height,color and gender.

detectparking

Automatic Parking Detection

dev290x-v2

Computer Vision and Image Analysis v2

distracted-driver-detection

Classify dashcam images to detect cases of distracted or safe driving.

distracted-driver-detection-1

CNN model that detects distracted drivers on the road

distracted-driver-detection-2

Solves a kaggle problem of State Farm Distracted Driver Detection

distracted-driver-detection-3

StateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models

distracted-driver-detection-4

Distracted driver detection trained on State Farm Dataset from Kaggle

distracted-driver-detection-5

Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

distracted-driver-detection-6

Trained MobilenetV2 model to recognize the distracted behaviors exhibited by drivers while driving. Deployed the Deep Learning model on the flask to make real-time predictions.

distracted-driver-detection-7

This is a machine learning/neural network model that is used to predict the likelihood of what the driver is doing in the picture.

distracted-driver-detection-8

distracted-driver-detection-with-deep-learning

This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.

distracted-drivers

distracted-drivers-tf

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

distracted_driver_detection

Distracted Driver Posture and Head Position Identification via m-CNNs

dlib-face-recognition-android

Android app to demo dlib face recognition

dms

driver monitor system based on deep learning

driver-anomaly-detection

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

driver-distraction-detection

Identifying distracted drivers using Convolutional Neural Networks