Building neural network for simulating spot colors overprints (TensorFlow, PyTorch)
Here you find the details for the internship named "Building neural network for simulating spot colors overprints (TensorFlow, PyTorch)" in the company Esko.
|Building neural network for simulating spot colors overprints (TensorFlow, PyTorch)
In our industry, printing packaging in a color correct way is very important. Package printing is often done with other inks than just CMYK. These inks are called spot inks. The red on a Coca-Cola package is printed with a dedicated red spot-ink. When two or more of these spot-inks overprint each other in specific percentages, a new color is created. For spot-inks, it is not possible to measure with a spectrophotometer the overprints of all possible spot colors because there are thousands of combinations. To predict the color that results from overprinting spot colors we currently have a mathematical/physical model. However, these models are not always close enough to the printing reality of the customer. The aim of the internship is to build a neural network that can predict how the overprint of spot colors will look like.
|Required special knowledge:
PyTorch knowledge is welcome
|4 - 6 weeks
HR Esko (HR)