Beast code in Giters

Link Qian's repositories

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.

Language:C775 32 23

License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

Language:C++2 10

nniefacelib

Language:CBSD-2-Clause2 10

CenterNetCPP

centerNet Caffe inference CPP

Language:C++GPL-3.01 10

fastupload

Language:Java1 30

mtcnn_tf

MTCNN implement by tensorflow. Easy to training and testing.

Language:Python1 10

AF-algorithm

AF algorithm on hi3516

Language:C010

awesome-object-pose

This repository is a curated list of papers and open source code for 6D Object Pose Estimation.

020

bitmap_fonts_neon_osd_Draw_yuv

based arm neon , osd draw on yuv data;

Language:C000

bounding-box-tool

a easy using and powerful bounding-box-tool written with java swing

Language:Java020

Cycle-W-GAN

Cycle-GAN using Wasserstein distance

Language:PythonMIT020

darknet_scripts

Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?

Language:Python020

DenseBox

Implemention of Baidu's DenseBox used for multi-task learning of object detection and landmark(key-point) localization 用PyTorch实现了百度的DenseBox并针对任意宽高比矩形(不仅限于方形)的目标检测做了优化，不仅可以输出关键点的热力图(heatmap)而且可以输出每个bbox对应关键点坐标

Language:Python010

DS

cpp deep_sort: C++ implementation of Simple Online Realtime Tracking with a Deep Association Metric

Language:C++GPL-3.0020

efficient_net

Modifying the efficientnet implementation from https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet to make it run locally on a given dataset.

Language:Jupyter Notebook010