FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Related tags

Deep Learningpytorchobject-detectionmmdetectionaerial-image-detectionfcosr
Overview

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
arXiv preprint (arXiv:2111.10780).

This implement is modified from mmdetection. We also refer to the codes of ReDet, PIoU, and ProbIoU.

In the process of implementation, we find that only Python code processing will produce huge memory overhead on Nvidia devices. Therefore, we directly write the label assignment module proposed in this paper in the form of CUDA extension of Pytorch. The program could not work effectively when we migrate it to cuda 11 (only support cuda10). By applying CUDA expansion, the memory utilization is improved and a lot of unnecessary calculations are reduced. We also try to train FCOSR-M on 2080ti (4 images per device), which can basically fill memory of graphics card.

FCOSR TensorRT inference code is available at: https://github.com/lzh420202/TensorRT_Inference

We add a multiprocess version DOTA2COCO into DOTA_devkit package, you could switch USE_MULTI_PROCESS to control the function in prepare_dota.py

Install

Please refer to install.md for installation and dataset preparation.

Getting Started

Please see get_started.md for the basic usage.

Model Zoo

Speed vs Accuracy on DOTA 1.0 test set

benchmark

Details (Test device: nvidia RTX 2080ti)

Methods backbone FPS mAP(%)
ReDet ReR50 8.8 76.25
S2ANet Mobilenet v2 18.9 67.46
S2ANet R50 14.4 74.14
R3Det R50 9.2 71.9
Oriented-RCNN Mobilenet v2 21.2 72.72
Oriented-RCNN R50 13.8 75.87
Oriented-RCNN R101 11.3 76.28
RetinaNet-O Mobilenet v2 22.4 67.95
RetinaNet-O R50 16.5 72.7
RetinaNet-O R101 13.3 73.7
Faster-RCNN-O Mobilenet v2 23 67.41
Faster-RCNN-O R50 14.4 72.29
Faster-RCNN-O R101 11.4 72.65
FCOSR-S Mobilenet v2 23.7 74.05
FCOSR-M Rx50 14.6 77.15
FCOSR-L Rx101 7.9 77.39

The password of baiduPan is ABCD

FCOSR serise DOTA 1.0 result.FPS(2080ti) Detail

Model backbone MS Sched. Param. Input GFLOPs FPS mAP download
FCOSR-S Mobilenet v2 - 3x 7.32M 1024×1024 101.42 23.7 74.05 model/cfg
FCOSR-S Mobilenet v2 ✓ 3x 7.32M 1024×1024 101.42 23.7 76.11 model/cfg
FCOSR-M ResNext50-32x4 - 3x 31.4M 1024×1024 210.01 14.6 77.15 model/cfg
FCOSR-M ResNext50-32x4 ✓ 3x 31.4M 1024×1024 210.01 14.6 79.25 model/cfg
FCOSR-L ResNext101-64x4 - 3x 89.64M 1024×1024 445.75 7.9 77.39 model/cfg
FCOSR-L ResNext101-64x4 ✓ 3x 89.64M 1024×1024 445.75 7.9 78.80 model/cfg

FCOSR serise DOTA 1.5 result. FPS(2080ti) Detail

Model backbone MS Sched. Param. Input GFLOPs FPS mAP download
FCOSR-S Mobilenet v2 - 3x 7.32M 1024×1024 101.42 23.7 66.37 model/cfg
FCOSR-S Mobilenet v2 ✓ 3x 7.32M 1024×1024 101.42 23.7 73.14 model/cfg
FCOSR-M ResNext50-32x4 - 3x 31.4M 1024×1024 210.01 14.6 68.74 model/cfg
FCOSR-M ResNext50-32x4 ✓ 3x 31.4M 1024×1024 210.01 14.6 73.79 model/cfg
FCOSR-L ResNext101-64x4 - 3x 89.64M 1024×1024 445.75 7.9 69.96 model/cfg
FCOSR-L ResNext101-64x4 ✓ 3x 89.64M 1024×1024 445.75 7.9 75.41 model/cfg

FCOSR serise HRSC2016 result. FPS(2080ti)

Model backbone Rot. Sched. Param. Input GFLOPs FPS AP50(07) AP75(07) AP50(12) AP75(12) download
FCOSR-S Mobilenet v2 ✓ 40k iters 7.29M 800×800 61.57 35.3 90.08 76.75 92.67 75.73 model/cfg
FCOSR-M ResNext50-32x4 ✓ 40k iters 31.37M 800×800 127.87 26.9 90.15 78.58 94.84 81.38 model/cfg
FCOSR-L ResNext101-64x4 ✓ 40k iters 89.61M 800×800 271.75 15.1 90.14 77.98 95.74 80.94 model/cfg

Lightweight FCOSR test result on Jetson Xavier NX (DOTA 1.0 single-scale). Detail

Model backbone Head channels Sched. Param Size Input GFLOPs FPS mAP onnx TensorRT
FCOSR-lite Mobilenet v2 256 3x 6.9M 51.63MB 1024×1024 101.25 7.64 74.30 onnx trt
FCOSR-tiny Mobilenet v2 128 3x 3.52M 23.2MB 1024×1024 35.89 10.68 73.93 onnx trt

Lightweight FCOSR test result on Jetson AGX Xavier (DOTA 1.0 single-scale).

A part of Dota1.0 dataset (whole image mode) Code

name size patch size gap patches det objects det time(s)
P0031.png 5343×3795 1024 200 35 1197 2.75
P0051.png 4672×5430 1024 200 42 309 2.38
P0112.png 6989×4516 1024 200 54 184 3.02
P0137.png 5276×4308 1024 200 35 66 1.95
P1004.png 7001×3907 1024 200 45 183 2.52
P1125.png 7582×4333 1024 200 54 28 2.95
P1129.png 4093×6529 1024 200 40 70 2.23
P1146.png 5231×4616 1024 200 42 64 2.29
P1157.png 7278×5286 1024 200 63 184 3.47
P1378.png 5445×4561 1024 200 42 83 2.32
P1379.png 4426×4182 1024 200 30 686 1.78
P1393.png 6072×6540 1024 200 64 893 3.63
P1400.png 6471×4479 1024 200 48 348 2.63
P1402.png 4112×4793 1024 200 30 293 1.68
P1406.png 6531×4182 1024 200 40 19 2.19
P1415.png 4894x4898 1024 200 36 190 1.99
P1436.png 5136×5156 1024 200 42 39 2.31
P1448.png 7242×5678 1024 200 63 51 3.41
P1457.png 5193×4658 1024 200 42 382 2.33
P1461.png 6661×6308 1024 200 64 27 3.45
P1494.png 4782×6677 1024 200 48 70 2.61
P1500.png 4769×4386 1024 200 36 92 1.96
P1772.png 5963×5553 1024 200 49 28 2.70
P1774.png 5352×4281 1024 200 35 291 1.95
P1796.png 5870×5822 1024 200 49 308 2.74
P1870.png 5942×6059 1024 200 56 135 3.04
P2043.png 4165×3438 1024 200 20 1479 1.49
P2329.png 7950×4334 1024 200 60 83 3.26
P2641.png 7574×5625 1024 200 63 269 3.41
P2642.png 7039×5551 1024 200 63 451 3.50
P2643.png 7568×5619 1024 200 63 249 3.40
P2645.png 4605×3442 1024 200 24 357 1.42
P2762.png 8074×4359 1024 200 60 127 3.23
P2795.png 4495×3981 1024 200 30 65 1.64
Owner
GitHub Repository
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

Opytimizer: A Nature-Inspired Python Optimizer Welcome to Opytimizer. Did you ever reach a bottleneck in your computational experiments? Are you tired

Gustavo Rosa 546 Dec 31, 2022
UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring

UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring Code Summary aggregate.py: this script aggr

1 Dec 28, 2021
[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Enjoy-Hamburger 🍔 Official implementation of Hamburger, Is Attention Better Than Matrix Decomposition? (ICLR 2021) Under construction. Introduction T

Gsunshine 271 Dec 29, 2022
Official repository for "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation"

pair-emnlp2020 Official repository for the paper: Xinyu Hua and Lu Wang: PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long

Xinyu Hua 31 Oct 13, 2022
Machine Learning Time-Series Platform

cesium: Open-Source Platform for Time Series Inference Summary cesium is an open source library that allows users to: extract features from raw time s

632 Dec 26, 2022
Exploring Visual Engagement Signals for Representation Learning

Exploring Visual Engagement Signals for Representation Learning Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie and Ser-Nam Lim C

Menglin Jia 9 Jul 23, 2022
BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)

BBB Streamer NG? Makes a conference like this... ...streamable like this! I also recorded a small video showing the basic features: https://www.youtub

Lukas Schauer 60 Oct 21, 2022
modelvshuman is a Python library to benchmark the gap between human and machine vision

modelvshuman is a Python library to benchmark the gap between human and machine vision. Using this library, both PyTorch and TensorFlow models can be evaluated on 17 out-of-distribution datasets with

Bethge Lab 244 Jan 03, 2023
Official Implementation of "Learning Disentangled Behavior Embeddings"

DBE: Disentangled-Behavior-Embedding Official implementation of Learning Disentangled Behavior Embeddings (NeurIPS 2021). Environment requirement The

Mishne Lab 12 Sep 28, 2022
Survival analysis in Python

What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu

Cameron Davidson-Pilon 2k Jan 08, 2023
Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor

G2LTex This repository contains the implementation of "Texture Mapping for 3D Reconstruction with RGB-D Sensor (CVPR2018)" based on mvs-texturing. Due

Fu Yanping(付燕平) 129 Dec 30, 2022
This is the pytorch code for the paper Curious Representation Learning for Embodied Intelligence.

Curious Representation Learning for Embodied Intelligence This is the pytorch code for the paper Curious Representation Learning for Embodied Intellig

19 Oct 19, 2022
PyQt6 configuration in yaml format providing the most simple script.

PyamlQt（ぴゃむるきゅーと） PyQt6 configuration in yaml format providing the most simple script. Requirements yaml PyQt6, ( PyQt5 ) Installation pip install Pya

Ar-Ray 7 Aug 15, 2022
Isaac Gym Reinforcement Learning Environments

Isaac Gym Reinforcement Learning Environments

NVIDIA Omniverse 714 Jan 08, 2023
A simple, fast, and efficient object detector without FPN

You Only Look One-level Feature (YOLOF), CVPR2021 A simple, fast, and efficient object detector without FPN. This repo provides an implementation for

789 Jan 09, 2023
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation This repo is the official implementation of "MHFormer: Multi-Hypothesis Transforme

Vegetabird 281 Jan 07, 2023
StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN

StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN This is the PyTorch implementation of StyleGAN of All Trades: Image Manipulati

360 Dec 28, 2022
Geometric Deep Learning Extension Library for PyTorch

Documentation | Paper | Colab Notebooks | External Resources | OGB Examples PyTorch Geometric (PyG) is a geometric deep learning extension library for

Matthias Fey 16.5k Jan 08, 2023
Flower - A Friendly Federated Learning Framework

Flower - A Friendly Federated Learning Framework Flower (flwr) is a framework for building federated learning systems. The design of Flower is based o

Adap 1.8k Jan 01, 2023
Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)

Manga Filling with ScreenVAE SIGGRAPH ASIA 2020 | Project Website | BibTex This repository is for ScreenVAE introduced in the following paper "Manga F

30 Dec 24, 2022