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# Image Classification App | ||
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This Python-based Image Classification App allows you to label images for machine learning models. It supports various input such as folders and CSV file, shortcuts for labeling and provides progress files for saving progress. | ||
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## Features | ||
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- **Light** ImTagger is simple app for simple job | ||
- **Shortcuts** Use ctrl+1-9 for fast labeling | ||
- **Folder Input:** Load images directly from a specified folder. | ||
- **CSV Input:** Use a CSV file to specify image paths and additional metadata. | ||
- **Progress Tracking:** Keep track of your progress with a progress file. | ||
- **Autosave** saving every changes into progress file automatically | ||
## Installation | ||
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To install and set up the Image Classification App, follow these steps: | ||
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1. **Clone the repository:** | ||
``` bash | ||
git clone https://github.com/electro199/imTagger.git | ||
cd imTagger | ||
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``` | ||
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install requirements | ||
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```bash | ||
windows : | ||
pip install -r requirements.txt | ||
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Unix : | ||
pip3 install -r ./requirements.txt | ||
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``` | ||
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## Usage : | ||
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On windows click `run.bat` or in cmd `run.bat` | ||
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On unix in terminal `python3 main.py` | ||
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# Contributing | ||
Pull requests are more than welcome! If you are planning to contribute a large patch, please create an issue first to get any upfront questions or design decisions out of the way first. |
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call python main.py |