rotorliu

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

darknet

Windows version of Yolo Convolutional Neural Networks

DeepStream-Yolo

NVIDIA DeepStream SDK 5 configuration for YoloV4 and YoloV3 model

EfficientPS

PyTorch code for training EfficientPS for Panoptic Segmentation https://rl.uni-freiburg.de/research/panoptic

Image-Processing-Techniques

Implementations of Fourier Transform, Laplacian Pyramids, Edge Detection

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Long-Tailed-Recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

mapextrackt

Pytorch Feature Map Extractor

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

MobileNets-SSD

MobileNet-SSD, MobileNetV2-SSD/SSDLite on VOC, BDD100K Datasets.

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

only_train_once

[ICLR 2023] OTOv2: Automatic, Generic, User-Friendly; [NeurIPS 2021] Only Train Once: A One-Shot Neural Network Training And Pruning Framework

ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

PaDiM-Anomaly-Detection-Localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

ParNet

Custom Implementation of Non-Deep Networks

PointTrack

PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

RecoNet

Tensor Low-rank Reconstruction for Semantic Segmentation

rknn-toolkit

sc_depth_pl

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

SpatialEmbeddings

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tkDNN

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

triton-inference-server

The Triton Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.

vcuda-controller

yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

Yolo-FastestV2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

YOLOP

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）