dq-soulie's repositories
HRNet-Semantic-Segmentation
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
Laplacian-Pyramids
Image blending by using Gaussian and Laplacian pyramids
TSD
1st place models in Google OpenImage Detection Challenge 2019
sky-optimization
Repository and website for Sky Optimization: Semantically aware image processing of skies in low-light photography
openimages2coco
Convert Open Images annotations into MS Coco format to make it a drop in replacement
MFIFB
Multi-focus Image Fusion Benchmark
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
guided-filter
Fast and complete guided filter implementation for OpenCV
the-art-of-command-line
Master the command line, in one page
The-Art-Of-Programming-By-July
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
python-patterns
A collection of design patterns/idioms in Python
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
hoko-lite
A slimmed-down version of HokoBlur.
ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
python_ebook
收集了一些Python相关资料
halo
✍ Halo 一款现代化的个人独立博客系统
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Designers-Learn-Git
为设计师而作的GitHub的快速学习教程
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
ai-roadmap
ApacheCN AI 路线图（知识树）
deep_learning_object_detection
A paper list of object detection using deep learning.
MNN
MNN is a lightweight deep neural network inference engine.
PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.