deep learning for image processing including classification and object-detection etc.

可能是爬取视频的脚本，暂时无用(new updates have been moved to a private working repo)

geotrellis-learning and demo

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

The PyTorch Code and Model In "Learn an Effective Lip Reading Model without Pains", (https://arxiv.org/abs/2011.07557), which reaches the state-of-art performance in LRW-1000 dataset.

2019年“创青春.交子杯”新网银行高校金融科技挑战赛-AI算法赛道比赛_代码分享

ceph docker compose

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, …

SpringCloud

2019年“创青春·交子杯”新网银行高校金融科技挑战赛初赛、决赛思路代码分享

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Datasets, Transforms and Models specific to Computer Vision

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Data loaders and abstractions for text and NLP

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

属于一个web应用系统，适合后期嵌入好的模型实现二次开发。原文链接：https://ieeexplore.ieee.org/document/8545664。A lip reading web application capable of predicting words visualized through an interactive bar plot in real-time.

还没有完成代码上传 Official PyTorch Implementation for "Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading"

"LipNet: End-to-End Sentence-level Lipreading" in PyTorch

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

Deep Learning Book Chinese Translation

DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990

PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

Final project for computational photography course taken at Portland State University. This algorithm uses haar features to detect elements of the face, including nose, eyebrows, lips, eyes etc.

一款入门级的人脸、视频、文字检测以及识别的项目.

比较重要的 Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

重要！Pytorch code for End-to-End Audiovisual Speech Recognition