# remote

**Repository Path**: wk_09/remote

## Basic Information

- **Project Name**: remote
- **Description**: A framework for object detection in remote sensing images based on yolov3
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-28
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# 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.