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deeplearning-500-questions icon 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,近30万字。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[email protected] 版权所有,违权必究 Tan 2018.06

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

lane-detection icon lane-detection

最近在做车道线检测、分割的工作,读到一篇十分不错的文章对此做下总结。并用 Pytorch 实现了文章中提到的十分重要的一个判别 loss

lanenet-lane-detection icon lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mv3d icon mv3d

Multi-View 3D Object Detection Network for Autonomous Driving

mv3d_tf icon mv3d_tf

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

path_plan icon path_plan

Path plan algorithm, include: A*, APF(Artificial Potential Field)

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet.pytorch icon pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

scnn icon scnn

Spatial CNN for traffic lane detection (AAAI2018)

segloss icon segloss

A collection of loss functions for medical image segmentation

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