iseehz0530

Self-Driving-Car-Vehicle-Detection

Self Driving Car Vehicle Detection

acgan-pytorch

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Advanced-Lane-Detection

Camera Calibration; Distortion Correction; Perspective transform ("bird-eye view"); Compute curvature and vehicle position.

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

basic-yolo-keras

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

biogans

Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis"

DeepFaceLab

DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

donkey

self driving car

DualGAN

DualGAN-tensorflow: tensorflow implementation of DualGAN

FasterRCNN_KERAS

firefly-proxy

A proxy software to help circumventing the Great Firewall.

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

GAN-

icml2016

Generative Adversarial Text-to-Image Synthesis

Improved-Image-Quilting

The improved Image Quilting is used to improve the metric of texture block matching and block selection

Keras-GAN

Keras implementations of Generative Adversarial Networks.

keras-inceptionV4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras-yolo

Keras implementation of YOLO

keras_frcnn

Keras Implementation of faster-rcnn

labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lane_detection

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

RCNN-Vehicle-Tracking-Lane-Detection

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

SceneClassify

AI场景分类竞赛

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

vehicle-detection

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

vehicle-detection-1

Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.

Vehicle-Lane-Detection-YOLOv2

Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5

VehicleDetectionAndLaneLineFinding

Develop a software pipeline to detect vehicles and lane lines in a video

W266-NLP-Final-Project-Text-to-Image-Synthesis-with-GAN