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tobeeeelite's Projects

aicoco icon aicoco

“爱可可-爱生活”微博内容精选

awesome-ocr-resources icon awesome-ocr-resources

A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

centernet-deep-sort icon centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

changestype icon changestype

通过向乐心健康API发送post请求实现步数的修改

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

crnn.pytorch icon crnn.pytorch

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

cv_interviews_q-a icon cv_interviews_q-a

CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!

db icon db

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

dbnet icon dbnet

This is a tensorflow2.x implementation of "Real-time Scene Text Detection with Differentiable Binarization"

deepnudecli icon deepnudecli

DeepNude Command Line Version With Watermark Removed

documentphotocorrection icon documentphotocorrection

Document photo perspective transformation correction,利用unet网络进行 文档照片透视纠偏

ebook-lsi-cnn icon ebook-lsi-cnn

基于潜在语义索引(LSI)和卷积神经网络(CNN)的深度智能阅读模型

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

ipercore icon ipercore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

jd-seckill-maotai icon jd-seckill-maotai

京东茅台抢购最新优化版本,京东秒杀,添加误差时间调整,优化了茅台抢购进程队列

latex-ocr icon latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

lexin icon lexin

利用GitHub Action每日自动刷新微信运动步数

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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