alanjonson Goto Github PK

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

autoware

Open-source software for self-driving vehicles

autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

brecq

Pytorch implementation of BRECQ, ICLR 2021

caffe

Caffe: a fast open framework for deep learning.

caffe-yolo

Caffe for YOLO

caffe-yolov2

car_geometric_planner

Use Reeds-Shepp and Dubin curves for path generation for car model

centernet

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

centernet-pytorch

这是一个centernet-pytorch的源码，可以用于训练自己的模型。

centerpoint

context-based-parking-slot-detect

convnetdraw

Draw multi-layer neural network in your browser

cuda-programming

Sample codes for my CUDA programming book

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

darknet

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

deep_learning_object_detection

A paper list of object detection using deep learning.

dla

Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

dsst

fast-scnn

Implementation of Fast-SCNN using Tensorflow 2.0

fdsst_cpp

C++ re-implementation of fast Discriminative Scale Space Tracking.

git1

与本地库同步

keras-semantic-segmentation

Keras-Semantic-Segmentation

lane-detection-enet

Lane detection using ENet Architecture

lane_detection_enet

lanenet-lane-detection

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

light-lpr

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

lpr

Vehicle License Plate Recognition,车牌识别，基于opencv一步步实现

machine-learning

my machine-learning tutorial

marktoolforparkinglotpoint

A tool for parking-slot labeling under surround-view image