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simple_dqn

Simple deep Q-learning agent.

simple_vehicle_counting

Vehicle Detection, Tracking and Counting

soem-rosbuild

This project is dedicated to run the Simple Open EtherCAT Master within ROS environment

spark-pid

PID control library for Spark Core, adapted from br3ttb/Arduino-PID-Library

speed-prediction

Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

spydroid-ipcamera

A powerful and funny android app. that streams the camera and microphone of your phone to your browser or to VLC

squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

srcnn_cpp

C++ Implementation of Image Super-Resolution using Convolutional Neural Network

srez

Image super-resolution through deep learning

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

stm32_servo_controller

STM32-based servo/CNC/3D-printer controller

stm32f407-freertos-lwip-can-v1

Automatically exported from code.google.com/p/stm32f407-freertos-lwip-can-v1

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow

从入门到精通！学习tensorflow的过程，记录一些模型:mnist_ml LeNet cifar10_cnn

tensorflow-yolo

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

tensorrtyolov3

yolov3

tensorssd

traffic-counting

little traffic couting tool based on qt,bgs,cvblob

traffic-light-detection

traffic-lights-detection-and-recognition

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

traffic_light_localization_recognition

traffic_signs_nn

Neural Network implementation in Python (Jupyter Notebook) using TensorFlow to classify traffic Signs from German dataset (gtsdb)

traffichazarddetection

Cross platform computer vision system that helps drivers identify traffic hazards in real-time. Demo video: https://www.youtube.com/watch?v=z9ScPaU7MoI

trafficlightsdetection

using SSD and caffe detect traffic lights on LISA dataset

udacity-driverless-car-nd-p2

v4l2-tester

Linux V4L2 camera test program using QT5 and OpenGL for display

vpgnet

Lane and road marking detection and recognition via multi-task network guided by vanishing point

yolov2

YOLOv2のchainerの再現実装です(darknetのchainerローダと、完全なchainer上での訓練コードを含みます)

yolov32caffe