zhwis

caffe

Caffe: a fast open framework for deep learning.

CV_ToolBox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

data_convert_voc

EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

facenet_mtcnn_to_mobile

convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）

fisheye

fisheye image calibration

GazeML

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Light-Condition-Style-Transfer

Light condition style transfer-based data enhancement method for lane detction in low-light conditions

Make_LDW_dataset

include choose frame, convert binary image, generate lanenet input data format

zhwis/caffe

Caffe: a fast open framework for deep learning.

zhwis/CV_ToolBox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

zhwis/data_convert_voc

zhwis/EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

zhwis/facenet_mtcnn_to_mobile

convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）

zhwis/fisheye

fisheye image calibration

zhwis/GazeML

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

zhwis/lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

zhwis/Light-Condition-Style-Transfer

Light condition style transfer-based data enhancement method for lane detction in low-light conditions

zhwis/Make_LDW_dataset

include choose frame, convert binary image, generate lanenet input data format

zhwis/models

Models and examples built with TensorFlow

zhwis/Mul_seg

zhwis/rec-attend-public

Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"

zhwis/Robust-Lane-Detection-and-Tracking

:mortar_board: RESEARCH [:car: + :eyes:] Robust framework for Lane Detection and Tracking using Deep CNN, Extended Hough Transform and Kalman Filter for autonomous vehicle applications.

zhwis/SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

zhwis/tutorials

机器学习相关教程