### Example Command - SmartStitch Console - Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Provides a concrete example demonstrating how to run the SmartStitch console application with common parameters. It shows setting the input folder, split height, and output file type using the command-line arguments.

```Shell
python SmartStitchConsole.py -i "Review me" -sh 7500 -t ".png"
# This will Run the application on for input_folder of "./Review me" with split_height of 7500 and output_type of ".png"
```

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

### Running Setup Script - SmartStitch - Python/Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Instructs users on how to execute the Python setup script for the SmartStitch project. This script is likely used to prepare the environment or perform initial configuration before building or running.

```Shell
python setup.py
```

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

### Install Dependencies - SmartStitch - Python/Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Command to install the necessary Python libraries required to run SmartStitch. It specifies using pip to install numpy, pillow, and natsort from the Python Package Index.

```Shell
pip install numpy pillow natsort
```

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

### Building GUI (Windows) - SmartStitch - Python/Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Command used specifically on Windows systems to build the SmartStitch GUI application using pipenv. This command packages the application so it can run without a separate Python installation.

```Shell
pipenv run build
```

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

### Running SmartStitch Console - Python/Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Provides the command-line syntax and available arguments for running the SmartStitch console application. It lists required and optional parameters for input folder, split height, output type, custom width, detection type, sensitivity, lossy quality, ignorable pixels, and scan line step.

```Shell
python SmartStitchConsole.py [-h] -i INPUT_FOLDER
                                  -sh SPLIT_HEIGHT
                                  [-t {.png,.jpg,.webp,.bmp,.psd,.tiff,.tga}]
                                  [-cw CUSTOM_WIDTH]
                                  [-dt {none,pixel}]
                                  [-s [0-100]]
                                  [-lq [1-100]]
                                  [-ip IGNORABLE_PIXELS]
                                  [-sl [1-100]]
required arguments:
    --input_folder INPUT_FOLDER, -i INPUT_FOLDER               Sets the path of Input Folder
optional arguments:
  -h, --help            show this help message and exit
  -i INPUT_FOLDER       Sets the path of Input Folder
  -sh SPLIT_HEIGHT      Sets the value of the Rough Panel Height
  -t {.png,.jpg,.webp,.bmp,.psd,.tiff,.tga}
                        Sets the type/format of the Output Image Files
  -cw CUSTOM_WIDTH      [Advanced] Forces Fixed Width for All Output Image Files, Default=None (Disabled)
  -dt {none,pixel}      [Advanced] Sets the type of Slice Location Detection, Default=pixel (Pixel Comparison)
  -s [0-100]            [Advanced] Sets the Object Detection Senstivity Percentage, Default=90 (10 percent tolerance)
  -lq [1-100]           [Advanced] Sets the quality of lossy file types like .jpg if used, Default=100 (100 percent)
  -ip IGNORABLE_PIXELS  [Advanced] Sets the value of Ignorable Border Pixels, Default=5 (5px)
  -sl [1-100]           [Advanced] Sets the value of Scan Line Step, Default=5 (5px)
```

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

### Building GUI (Mac/Linux) - SmartStitch - Python/Shell

Source: https://github.com/mechtechnology/smartstitch/blob/main/README.md

Command used specifically on Mac and Linux systems to build the SmartStitch GUI application using pipenv. This command is similar to the Windows build but omits the icon packaging step.

```Shell
pipenv run build-no-icon
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.