Models and examples built with TensorFlow

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Jupyter metapackage for installation, docs and chat

OpenCV问答群不再维护。有问题，自己去搜索。Google能找到大部分答案。

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Generic U-Net Tensorflow implementation for image segmentation

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

A Kitti Road Segmentation model implemented in tensorflow.

PyTorch Implementation for Deep Metric Learning Pipelines

[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network

Flask + LayUI + SQLite，图书管理系统

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

🖼The python implementation to make superpixels by slic.

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

Check whether a lat/lon point is on land for any point on earth

📡 Receive images from weather satellite Himawari-8 via HimawariCast.