Pinned Repositories
AndroidBluetoothDemo
通过蓝牙传输，用手机APP控制秉火指南者系列开发板STM32实现亮灭LED灯和响停蜂鸣器
Bjontegaard_metric
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
CAPTCHA_Recognition
这是本科毕业设计的课题，“基于深度网络的网站验证码识别研究与实现”。主要是利用卷积神经网络，基于TensorFlow平台，构建了三层卷积两层全联接模型，训练出的一个准确率为91.3%的识别模型。再基于Django构建登陆系统，使用selenium实现自动测试，完成验证码从识别到自动登录的全过程。
CAPTCHA_Recognition_Based_on_CNN
1.使用代码生成验证码图片数据：gen_captcha.py（或者使用checkcode.py） 2.构建卷积神经网络并进行迭代训练：dissertation_train.py 3.对训练之后的模型进行自动登录测试：dissertation_test.py（使用自建网站测试）dissertation_display（使用学校教务系统测试）
Electronic_design_I
使用51单片机设计的花样流水灯以及可调实时温度时钟
Intra-Combined-Predict
This repository aims to predict a new mode based on the current best mode and left restructed mode. When the cost is less than tradictional method, the flag will be set to 1 to index the new mode is used, otherwise the flag will be set to 0 to index to use traditional methods. The experiment is implemented in HM-16.20, and test in CTC.
ipersevere.github.io
个人博客；机器学习；深度学习；Python学习；
LeWei_TemperatureMonitor
这是一个课程设计作业，实现功能是通过控制秉火指南者STM32，将传感器的测量温度上传至乐为物联平台，从而能够随时访问实时温度数据
Mode-Combination-Predict
This repository aims to traverse all of 35 intra modes and choose two from it twice times. It notes that the two modes selected can be same, so it can be easily reproduce by two for loop. The goal of the experimetn is to find wheather the performance can better, because there is a trade-off between residual income and additional mode bit cost. The experiment is implemented in HM-16.20 and satified CTC. The performace is waitting for optimizing.
Raintime
此为参加全国互联网+创新创业大赛作品，主要产品是喷灌机和植保无人机。该代码功能为实现移动端远程控制机器运行和停止，并实现远程监控机器状态作用
iPersevere's Repositories
iPersevere/Bjontegaard_metric
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
iPersevere/ipersevere.github.io
个人博客；机器学习；深度学习；Python学习；
iPersevere/O266player
iPersevere/video_codec_learn
关于视频编解码学习资料
iPersevere/Intra-Combined-Predict
This repository aims to predict a new mode based on the current best mode and left restructed mode. When the cost is less than tradictional method, the flag will be set to 1 to index the new mode is used, otherwise the flag will be set to 0 to index to use traditional methods. The experiment is implemented in HM-16.20, and test in CTC.
iPersevere/Mode-Combination-Predict
This repository aims to traverse all of 35 intra modes and choose two from it twice times. It notes that the two modes selected can be same, so it can be easily reproduce by two for loop. The goal of the experimetn is to find wheather the performance can better, because there is a trade-off between residual income and additional mode bit cost. The experiment is implemented in HM-16.20 and satified CTC. The performace is waitting for optimizing.
iPersevere/ai-roadmap
ApacheCN AI 路线图（知识树）
iPersevere/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
iPersevere/av1-codec-comparison
iPersevere/BDrate-scripts
iPersevere/BEE
iPersevere/Book
:green_book:我的个人书籍学习和收藏
iPersevere/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
iPersevere/coder2gwy
互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。
iPersevere/community
libaom User Wiki
iPersevere/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
iPersevere/d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
iPersevere/Deep-Data-Compression
iPersevere/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
iPersevere/DVC
DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)
iPersevere/Fuzzy-SVM-Based-Low-Complexity-for-HEVC
iPersevere/house_shenzhen
深圳房地产市场分析及买房攻略
iPersevere/image_compression_comparison
Image Compression Comparison Framework
iPersevere/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
iPersevere/NN_Test
This project contains some neural network code
iPersevere/py-MDNet
MDNet PyTorch implementation
iPersevere/Python-100-Days
Python - 100天从新手到大师
iPersevere/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
iPersevere/Surround360
Surround360 is Facebook's open source hardware and software for capturing stereoscopic 3D 360 video for VR. The repo contains hardware designs, as well as software for camera control and rendering.
iPersevere/torchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision