A PyTorch-based library for semi-supervised learning (NeurIPS'21)

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Add bisenetv2. My implementation of BiSeNet

Histogram matching (Digital Image Processing) using PIL

pytorch structural similarity (SSIM) loss

Python 使用Ransac拟合椭圆

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Python script (opencv) for low light image enhancement using haze removal technique.

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image sharpening, laplacian filter, gradient filter

mobilenetv3 with pytorch，provide pre-train model

entropy, edge detection, poisson blending, face detection, deblur

linux 提权

Code for the paper "Crash To Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator" presented in AAAI 2019 (Oral)

Documentation on how to access and use the Quick, Draw! Dataset.

My implementations of cs231n 2017