bestpower's repositories
Speech_Recognition_Test
利用Python+TensorFlow实现语音识别
FaceKeyPointTrainDataProcessing
本工程代码用于批量实现公开人脸300w/lfpw/afw/helen人脸68个关键点检测训练数据的处理与增强操作，方便后续的训练工作
FaceDataSets_Manual_Annotation_Tools
Face attributes manual annotatior python tool projects
FaceDataSets_Crop_Tools
Auto tools of getting face crop datasets from origin images with faces.
HandwrittenDigitRecogDemo
手写数字识别AI模型在安卓端的调用示例
Image_Recognition_Test
利用Python+TensorFlow实现图片识别
BiEyeCameraTest
本示例代码用于调用红外双目摄像头与人脸检测
Recommendation_System_Test
利用Python实现推荐系统功能
Parameter_Predict_Test
多维特征下的参数预测
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
android-demo-app
PyTorch android examples of usage in applications
AutoCrawler
Google, Naver multiprocess image web crawler (Selenium)
dlib-models
Trained model files for dlib example programs.
Face_Recognition_Test
利用Python实现人脸识别
FaceOccluderDetect
本示例用于人脸遮挡检测的相关开发与测试
flask-project
gunicorn+gevent+restful，一个标准的高并发flask项目
ID_Number_Recognition_Test
身份证号码识别
models_data
2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 去水印网络CGAN模型baseline
opencv_contrib
Repository for OpenCV's extra modules
Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）
Paddle-Lite-Demo
lib, demo, model, data
Simple_Neural_Network
只用Numpy库构造一个简单的神经网络
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。