# Image Tools CLI 🖼️
[](https://badge.fury.io/py/imgtools-cli)
[](https://pepy.tech/project/imgtools-cli)
[](https://pepy.tech/project/imgtools-cli)
[](https://pepy.tech/project/imgtools-cli)
Command line interface for pre-processing images for model training.
## Features
- Download all images from a url
- Convert images to PNG
- Resize and crop images
- Chunk large images into smaller squares
- Remove images with more than one person
## Installation
create a virtual environment and imgtools-cli through pip:
```bash
python3 -m venv venv
source venv/bin/activate
pip install imgtools-cli
```
## Usage
### ℹ️ Help
```bash
python -m imgtools_cli -h
```
### ⏬ Download all images from a website
```-D {url}, {output directory}```
```bash
python -m imgtools_cli -D https://www.gutenberg.org/cache/epub/67098/pg67098-images.html /Users/ootie/images
```
### ✨ Convert images to PNG files
```-I {input directory}```
```bash
python -m imgtools_cli -I /Users/ootie/image_files
```
### ✂️ Resize / Crop images
```-r {input directory}, {width}, {height}, {crop_focal_point}, {dnn_model_path}```
Using crop focal point:
```bash
python -m imgtools_cli -r /Users/ootie/images 512 512 True None
```
Passing in a haar xml to focal crop faces:
```bash
python -m imgtools_cli -r /Users/ootie/images 512 512 True /Users/ootie/models/haarcascade_frontalface_default.xml
```
### ➗ Chunk large images into squares
Easily take large images and split them into smaller squares for training.
_Example:_ You may want to train on this image but need to split it into smaller squares for training.
Put it through the chunker and you get this:
| chunk 1 | chunk 2 | chunk 3 | | |
|------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|---|---|
|  |  |  | | |
```-C {dimensions}, {input_directory}, {output_directory}```
```bash
python -m imgtools_cli -C 512 /Users/ootie/input /Users/ootie/output
```
### 🫂 Hassan People Remover
Uses face detection to remove images with more than one person. Helpful for cleaning source images to be used for Stable Diffusion training.
_Example:_ If your input images have more than one person, the image will be deleted:
Sample images to test with: https://github.com/hassan-sd/people-remover/tree/main/images
```-R {input_directory}, {path_to_cascade_xml}```
```bash
python -m imgtools_cli -R /Users/ootie/image-tools/images/ /Users/ootie/image-tools/examples/haarcascade_frontalface_default.xml
```
Ported from: https://github.com/hassan-sd/people-remover
Raw data
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