AI image renamer using EfficientNetB0
Project description
auto_rename_ai
<> is a Python package for automatically renaming images using the EfficientNetB0 model. Each image is classified, and its filename is updated to include the class label, confidence percentage, and a counter.
Features
- Automatically renames images in the format 'label(confidence%)(counter).ext'
- Supports '.jpg', '.jpeg', and '.png' image formats
- Handles corrupted images without stopping the program
- Processes an entire folder of images in one batch
Installation
The package can be installed via pip after local build or publishing:
pip install .
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##Usage
from auto_rename_ai import rename_images
# Specify input and output folders
input_folder = "path/to/images"
output_folder = "path/to/output"
# Automatically rename images
rename_images(input_folder, output_folder)
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##Result
Each image will be renamed in the following format::
label(confidence%)(counter).ext
-->> for example:
golden_retriever(97.00%)(1).jpg
sports_car(88.12%)(1).png
keyboard(91.03%)(2).jpeg
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##Requirements::
Python 3.8+
TensorFlow 2.x
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