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ssd-6d

Inference code and trained networks for SSD-6D

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

stable-diffusion

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

tensorflow-yolov3

Pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorflowandroiddemo

TensorFlow android demo 车道线 车辆 人脸 动作 骨架 识别 检测

tensorflowunity-objectdetection

tf-21-

基于TF的21个深度学习项目实践书籍

tf-cpn

a tensorflow implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

tflite_android_test

Tensorflow-lite移动端测试自己的模型

tiny-dnn

header only, dependency-free deep learning framework in C++14

tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

traffic-condition-recognition-using-the-k-means-clustering-method

Prediction of travel time has major concern in the research domain of Intel- ligent Transportation Systems (ITS). Clustering strategy can be used as a powerful tool of discovering hidden knowledge that can easily be applied on historical traffic data to predict accurate travel time. In our Modified K-means Clustering (MKC) approach, a set of historical data is portioned into a group of meaningful sub- classes (also known as clusters) based on travel time, frequency of travel time and velocity for a specific road segment and time group. The information from these are processed and provided back to the travellers in real time. Traffic flow modelling and driving condition analysis have many applications to various areas, such as Intelligent Trans- portation Systems (ITS), adaptive cruise control, pollutant emissions dispersion and safety.

traffic-light-classification

Traffic Light Image Classification

traffic-light-detection

Traffic light detection classifier for the autonomous_wizards team

traffic-lights-detection

This project is aimed to realize the relative algorithms about traffic lights. I will complete it by two methods ,the classical computer vision algorithms and deep learning method based on tensorflow objection API.I am a graduate student from UESTC, Chengdu, China.

traffic-lights-detection-and-recognition

detect the position of traffic light in scene, and recognize the color of it.

traffic-lights-detector

A traffic lights detector using the TensorFlow object detection API

traffic-sign-classifier-project

Udacity Self-Driving Car Engineer Nanodegree Project 2

traffic-sign-detection

Traffic signs detection and classification in real time

traffic-signs-detector

Proyecto Integrador - Ing. en Computación

traffic_sign_recognition_efficient_cnns

A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

trajectory_detection

twitchslam

A toy implementation of monocular SLAM written while livestreaming

udacity-nanodegrees

:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula