Caffe: a fast open framework for deep learning.
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Updated
Apr 21, 2023 - C++
Caffe: a fast open framework for deep learning.
Real time semantic slam in ROS with a hand held RGB-D camera
Real-Time 3D Semantic Reconstruction from 2D data
An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Deep Learning sample programs using PyTorch in C++
Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Lane detection model for mobile device via MNN project
A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
一个简单的TensorRT实现语义分割的C++程序
Fast and memory efficient semantic segmentation of 3D point clouds. Runs on Windows, Mac and Linux.
Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
[CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset
tensorrt8 && cuda && libtorch implementation of rangenet++
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