acrith2015

CameraCalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

face_mask_by_yolov3

GridMask

KKB_CV_PJT

This Repo is using for the KaiKeBa CV training projects.

Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition

Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

model_deployment

sample model deployment code

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

acrith2015/CameraCalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

acrith2015/CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

acrith2015/darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

acrith2015/face_mask_by_yolov3

acrith2015/GridMask

acrith2015/KKB_CV_PJT

This Repo is using for the KaiKeBa CV training projects.

acrith2015/Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition

Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)

acrith2015/Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

acrith2015/model_deployment

sample model deployment code

acrith2015/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

acrith2015/PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

acrith2015/surround-view-system-introduction

acrith2015/SurroundViewSystem_Demo

acrith2015/TDA_Srv_algorithm_tools

the intergral tool-chains for Surroundview with a pc simulate environment

acrith2015/tensorflow

Computation using data flow graphs for scalable machine learning