> For the complete documentation index, see [llms.txt](https://campus-rover.gitbook.io/lab-notebook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://campus-rover.gitbook.io/lab-notebook/fiiva/convert-imagenet-to-darknet.md).

# How do I convert Imagenet to Darknet

ImageNet file xml format to [Darknet](https://github.com/pjreddie/darknet) text format.

Full Repo here: <https://github.com/campusrover/Robotics_Computer_Vision/tree/master/utils/xml_2_txt>

## Installation

```bash
sudo pip install -r requirements.txt
```

## Usage

```bash
python xmltotxt.py -xml xml -out out
```

## Example

Input xml file.

```xml
<annotation>
    <filename>image-0000016.jpg</filename>
    <size>
        <width>1920</width>
        <height>1080</height>
    </size>
    <object>
        <name>sedan</name>
        <bndbox>
            <xmin>75</xmin>
            <ymin>190</ymin>
            <xmax>125</xmax>
            <ymax>210</ymax>
        </bndbox>
    </object>
</annotation>
```

Output text file.

```
4 0.052083 0.185185 0.026042 0.018519
```

## Motivation

I used [Darknet](https://github.com/pjreddie/darknet) for real-time object detection and classification. Sometimes you need to collect your own trainig dataset for train your model. I collected training dataset images and fine awesome [tool](https://github.com/tzutalin/labelImg) for labeling images. But it generates xml files. So I needed to implement tool which translates from ImageNet xml format to Darknet text format.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://campus-rover.gitbook.io/lab-notebook/fiiva/convert-imagenet-to-darknet.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.