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deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
This is a resouce list for low light image enhancement
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
grayscale/HSV transformation, histogram, smoothen/sharpen, morphological transformation, corner detection and pyramid
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:
Fully automatic optical flow based image morphing implemented in Torch
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Python bindings for the Point Cloud Library (PCL)
Python bindings to the pointcloud library (pcl)
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Pytorch implementation of RetinaNet object detection.
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection, CVPR 2020.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
The devkit of the nuScenes dataset.
SECOND for KITTI/NuScenes object detection
Open3D: A Modern Library for 3D Data Processing
World's first general purpose 3D object detection codebse.