Smart cropping tools with help of machine learning

Detta är en Uppsats för yrkesexamina på grundnivå från Luleå tekniska universitet/Institutionen för system- och rymdteknik

Författare: John Kanwar; [2019]

Nyckelord: Machine Learning; Cropping;

Sammanfattning: Machine learning has been around for a long time, the applications range from a big variety of different subjects, everything from self driving cars to data mining. When a person takes a picture with its mobile phone it easily happens that the photo is a little bit crooked. It does also happen that people takes spontaneous photos with help of their phones, which can result in something irrelevant ending up in the corner of the image. This thesis combines machine learning with photo editing tools. It will explore the possibilities how machine learning can be used to automatically crop images in an aesthetically pleasing way and how machine learning can be used to create a portrait cropping tool. It will also go through how a straighten out function can be implemented with help of machine learning. At last, it is going to compare this tools with other software automatic cropping tools.

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