jiaobingle Goto Github PK

bisenet

Add bisenetv2. My implementation of BiSeNet

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-segmentation

Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

cgnet

Context Guided Network for Semantic Segmentation on Mobile Devices

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-learning-papers-reading-list

Some Papers about Deep Learning especially Semantic Segmentation I have read

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15个章节，近20万字。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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

estore

first_test

try to create /add /git_clone on this repo

functional-zoo

PyTorch and Tensorflow functional model definitions

hiddenlayer

Neural network graphs and training metrics for PyTorch and Tensorflow.

icnet-tensorflow

An implementation of ICNet (Real-time image segmentation) in tensorflow, containing train/test phase

mapillary_vistas

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch_generalized_3d_lane_detection

PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'

real-time-semantic-segmentation

lightweight and efficient cnn for semantic segmentation

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

semanticssharing

This is the official repository of "Boosting Real-Time Driving Scene Parsing with Shared Semantics"

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

test

trt_ultra_fast_lane_detect

ui5tutorial

UI5 Tutorial