Yiyang Cai's repositories
CRAFT-CRNN-OCR-Pipeline
CRAFT-CRNN Pipeline to make a OCR system within only 50ms in PyTorch
CompanySystem-practice
员工管理系统（继承封装多态、虚函数等）
Algorithm-Performance-Viewer
This UI can show the image processing performance in a vivid way, using a slider to watch over the input and output's differences.
Awesome-Pruning
A curated list of neural network pruning resources.
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
CRAFT-CRNN-General
A General Task for OCR with CRAFT and CRNN models
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
EE225B-PSet3
LPF, HPF on frequency domain.
EE225B-PSet4
Spatial filters and statistic filters
EE225B-PSet6
Radon Transformation, Fourier Slice Theorem
EE225B-PSet8
Wavelet transformation
EE225B-Pset9
FFT-based Image Reconstruction
Emotion-Classifier-RandomForest
Project of Cal CS294-082 Fall 2021
Emotion-detection
Real-time Facial Emotion Detection using deep learning
Handwriting-Transformers
Styled Handwritten Text Generation with Transformers (ICCV 21)
Image-Processing-Pool
In deep learning area, image data is always required some processing method due to the models. I use this repo to accumulate some method of image processing
Lifespan_Age_Transformation_Synthesis
Lifespan Age Transformation Synthesis code
mxfont
Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts) ICCV 2021
neural-compressor
Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Train-CRNN-from-DataGeneration-to-ModelHarvest
This repo enables you to train a crnn text recognition model even if you don't have data, you can generate different data for your special tasks and train models in the same flow!
Video-Viewer-PyQt5
This project can view differences between two videos, using a user-interactive way.