Kazuto Nakashima's repositories
deeplab-pytorch
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
svm-pytorch
Linear SVM with PyTorch
pspnet-pytorch
PyTorch re-implementation of PSPNet
dusty-gan-v2
Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data (WACV 2023)
circular-conv-pytorch
Horizontal circular convolution for panoramic images
smoothgrad-pytorch
PyTorch re-implementation of SmoothGrad
ros-tms-perception
https://github.com/irvs/ros_tms
fps-c3d-descriptor
C3D feature description for camera stream
Density_aware_Chamfer_Distance
Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion" (NeurIPS 2021)
lidar_transfer
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Open3D
Open3D: A Modern Library for 3D Data Processing
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
qmk_firmware
keyboard controller firmware for Atmel AVR and ARM USB families
ros_tms
It is a service robot system with an informationally structured environment referred to the ROS-TMS. This system enables the integration of various data from distributed sensors, as well as storage of these data in an on-line database and the planning of the service motion of a robot using real-time information about the surroundings. If we want use ROS-TMS, please check the releases information. https://github.com/irvs/ros_tms/releases
vision
Datasets, Transforms and Models specific to Computer Vision