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A framework for object detection in remote sensing images based on yolov3

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houliping/VCIP-SMOD-YOLOv3

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Introduction

A Single-stage Multi-class Object Detection Method for Remote Sensing Images which is based on yolov3 and added some attention method. We created new backbone that dense connected.

Description

The code is based on https://github.com/ultralytics/yolov3 repo contains inference and training code for YOLOv3 in PyTorch. The code works on Linux, MacOS and Windows. Thank the original authors.

Requirements

Python 3.7 or later with the following pip3 install -U -r requirements.txt packages:

  • numpy
  • torch >= 1.0.0
  • opencv-python
  • tqdm

Contact

For questions or comments please contact Glenn Jocher at glenn.jocher@ultralytics.com or visit us at https://contact.ultralytics.com.

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A framework for object detection in remote sensing images based on yolov3

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