### Install TRDG from Repository

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

If you want to add another language or contribute, clone the repository and install requirements.txt. This is an alternative to the PyPI package.

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

--------------------------------

### Install TRDG Package

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Install the TextRecognitionDataGenerator package using pip. It is recommended to use a virtual environment.

```bash
pip install trdg
```

--------------------------------

### Basic Python Module Usage

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Use TRDG as a Python module for more flexibility in training pipelines. This example uses GeneratorFromStrings.

```python
from trdg.generators import (
    GeneratorFromDict,
    GeneratorFromRandom,
    GeneratorFromStrings,
    GeneratorFromWikipedia,
)

# The generators use the same arguments as the CLI, only as parameters
generator = GeneratorFromStrings(
    ['Test1', 'Test2', 'Test3'],
    blur=2,
    random_blur=True
)

for img, lbl in generator:
    # Do something with the pillow images here.
```

--------------------------------

### Basic CLI Usage

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Generate 1,000 random images with random text using the command-line interface. Images are saved to the 'out/' directory by default.

```bash
trdg -c 1000 -w 5 -f 64
```

--------------------------------

### Pull and Run Docker Image

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Pull the latest Docker image for TRDG and run it, mounting an output directory. The path must be absolute.

```bash
docker pull belval/trdg:latest

docker run -v /output/path/:/app/out/ -t belval/trdg:latest trdg [args]
```

--------------------------------

### CLI Usage with Blurring

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Generate images with Gaussian blur applied to the text using -bl and -rbl arguments. The radius can be specified for blur and random blur.

```bash
trdg -c 1000 -w 5 -f 64 -bl -rbl
```

--------------------------------

### CLI Usage with Skewing

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Generate images with random text skewing using the -k and -rk arguments. This adds a random skew angle to the generated text.

```bash
trdg -c 1000 -w 5 -f 64 -k 5 -rk
```

--------------------------------

### CLI Usage with Distortion

Source: https://github.com/belval/textrecognitiondatagenerator/blob/master/README.md

Generate images with text distortion using the -d and -do arguments. This applies random distortions to the text.

```bash
trdg -c 1000 -w 5 -f 64 -d -do
```

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