torchtraps 0.1.4

安装

$ pip install torchtraps

图像文件夹的快速推理

通过简单地传递文件夹的相对路径，在一行代码中对相机陷阱图像的整个文件夹进行分类 包含图像。输出会自动保存到csv文件中，该文件可以在应用程序中打开进行进一步处理 就像Excel。在

特点

• 模块的快速计算机视觉相机陷阱图像。在
• 在您自己的数据集中训练和微调分类模型。在
• 基于Pythorch
• 麻省理工学院执照

从头开始完成安装教程

这是一个完整的教程如何安装和启动和运行火炬陷阱。零编程知识 假设在试图使火炬陷阱尽可能容易接近。如果您遇到任何问题，请发送电子邮件 我在zwinzurk@asu.edu

• 步骤1：安装Python

  Go to https://www.anaconda.com/distribution/

  Download Anaconda Python 3.7 version for the operating system you are using (Windows, MacOS, or Linux).

  Click on 64-Bit Graphical Installer (442 MB) to download the version with a Graphical User Interface.

  

  Why do I need Anaconda?

  Torch Traps is a module written in Python (a programming language), so we first need to have Python installed on our computer. There are several ways to install python, but Anaconda allows us to install Python and it comes pre-installed with many of the common modules used for Data Science, and optionally comes with a GUI which can be used to open notebooks.

  下载完成后，双击以安装并按照安装说明进行操作。在

  

  在

• 第二步：打开水蟒导航器

  After installing Anaconda, open the Anaconda Navigator application on your computer.

  

  在

• 第三步：启动Jupyter实验室

  We will then launch a Jupyter Lab. Your web browser will open but the Jupyter server is running locally as you can see the url should be http://localhost:8889/lab

  

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• 步骤4：导航到左侧的工作文件夹

  By clicking on the folder icon in the upper-left corner we can navigate the file system.

  Navigate to the directory on your computer where your camera trap image folder is located.

  在

• 第五步：打开Python3笔记本

  Now that we are working in the right directory, we can launch a new Python notebook. This will create a new file in our working directory called Untitled.ipynb. We can right-click on the file name to re-name it.

  

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• 第6步：安装火炬收集器

  Jupyter notebooks allow us to run python code one ‘cell’ at a time. So the first thing we need to do is install torch traps, if we have not before. Copy the code below into the first cell, and then run the cell by either clicking the play button or hitting SHIFT+ENTER at the same.

  !pip install torch traps
  

  

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• Step 7: Run Torch Traps on Folder of Images

  Now that the Torch Traps is installed, you can copy the code below into a new code cell.

  Change the ‘path/to/image/folder’ to the name of your folder containing camera trap images (ex. ‘camera_trap_images’)

  Run the cell. (SHIFT + ENTER)

  Note: If running for the first time, an internet connection will be required to download the model file.

  When complete an output.csv file will appear in the directory you are working in. You can double-click csv files to view in Jupyter Lab or open with another application like Excel.

  importtorchtraps.lightningimportkachowkachow('path/to/image/folder')

  

  在

• 第8步：打开CSV文件查看分类结果