Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.

[ICASSP 2022] Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task

分别实现：1.对模糊车牌图像进行清晰处理；2.对高斯模糊图像进行高斯平滑滤波处理；3.对椒盐噪声图像进行中值滤波处理；4.对雾化图像进行直方图均衡化处理；5.对模糊图像进行对比度拉伸与灰度拉伸处理；6.对运动模糊图像进行维纳滤波处理；

Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.

Vision Transformer (ViT) in PyTorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

some code to do emotion recognition on DEAP (RNN, CRNN, VIT, MLPMixer, Fnet)

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository contains demos I made with the Transformers library by HuggingFace.

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

A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Social robot software system, with facial detection and recognition, object detection, voice detection functions.

这是一个ViT+Gram矩阵的代码

Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation