ImageLight v1.0.4

Quick Installation instructions:

1. Download ImageLight.v1.0.4.zip
2. Unpack the archive
3. Install Python 3.9
4. Run installANNServer.bat to install the backend
5. Run run.bat to use it with my calibration

• Run Train ANN.bat to train backend (bevor training you need to reinstall the ANNServer to update the data.xlsx in the install directory)
• Run uninstallANNServer.bat to uninstall

If you want to use your own calibration, please refer to README.md.

ImageLight v1.0.3

Quick Installation instructions:

1. Download ImageLight.v1.0.1.rar
2. Unpack the archive
3. Install Python 3.9
4. Run installANNServer.bat to install the backend
5. Run run.bat to use it with my calibration

If you want to use your own calibration, please refer to README.md.

ImageLight v1.0.2

Installation instructions:

1. Downloade ImageLight.v1.0.1.rar
2. Unpack the archive
3. Run "ImageLight.exe"
4. Go to the settings and activate the "Calibration mode".
5. Create your own file like "data.xlsx" with the calibration mode
6. Run "Train ANN.bat" to create an ANN locally
7. Run "run.bat" to use the software.

Important note: Your images must have a resolution of 2352x1568.
Images with a different resolution will be ignored.

ImageLight v1.0.1

Installation instructions:

1. Downloade ImageLight.v1.0.1.rar
2. Unpack the archive
3. Run "ImageLight.exe"
4. Go to the settings and activate the "Calibration mode".
5. Create your own file like "data.xlsx" with the calibration mode
6. Run "Train ANN.bat" to create an ANN locally
7. Run "run.bat" to use the software.

Important note: Your images must have a resolution of 2352x1568.
Images with a different resolution will be ignored.

ImageLight v1.0.0

Installation instructions:

1. Downloade ImageLight.v1.0.0.rar
2. Unpack the archive
3. Run "ImageLight.exe"
4. Go to the settings and activate the "Calibration mode".
5. Create your own file like "data.xlsx" with the calibration mode
6. Run "Train ANN.bat" to create an ANN locally
7. Run "run.bat" to use the software.

Important note: Your images must have a resolution of 2352x1568.
Images with a different resolution will be ignored.