rotorliu's repositories
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
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'.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
MobileNets-SSD
MobileNet-SSD, MobileNetV2-SSD/SSDLite on VOC, BDD100K Datasets.
only_train_once
[ICLR 2023] OTOv2: Automatic, Generic, User-Friendly; [NeurIPS 2021] Only Train Once: A One-Shot Neural Network Training And Pruning Framework
PaDiM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
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 ;)
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
triton-inference-server
The Triton Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.
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+