2017TJMtaotao's repositories

-License-plate-end-to-end-recognition

Convolutional neural network is used for end-to-end recognition, input the whole license plate and the corresponding label for training; during the test, input the image including the license plate, and output the corresponding license plate label. It can realize license plate recognition based on convolution neural network, and can realize license plate recognition without character segmentation.

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2017TJM

Config files for my GitHub profile.

2017TJM.github.io

个人博客

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yolo3-keras

这是一个yolo3-keras的源码,可以用于训练自己的模型。

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YOLOV3

yolov3 by pytorch

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yoloair

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

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Ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理等热门领域

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crnn_seq2seq_ocr_pytorch

Extremely simple implement for Chinese OCR by PyTorch.

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CVPR2020-Code

CVPR 2020 论文开源项目合集

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Data-analysis

机器学习数据和代码

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deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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docs

The open-source repo for docs.github.com

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fake-plate

fake plate

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imgaug

Image augmentation for machine learning experiments.

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keras

Deep Learning for humans

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Keras-DIOU-YOLOv3

Keras上700行代码复现YOLOv3!使用DIOU loss。支持将模型导出为pytorch模型!

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model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

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my_fake_plate

my_fake_plate

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Python-Core-50-Courses

Python语言基础50课

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python_data_analysis_and_mining_action

《python数据分析与挖掘实战》的代码笔记

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python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

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Pytorch_Retina_License_Plate

轻量级的车牌检测项目(支持车牌四角定位、矫正对齐)

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SEU-AI

AI项目

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tensorflow-serving-yolov3

主要对原tensorflow版本算法进行了网络修改,显示调整,数据处理等细节优化,详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集(非80类中的一类),mAP为97.51,FPS在1080上测试15-20帧!

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text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

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Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

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