Summary

This chapter introduced the techniques to fine-tune object instance segmentation applications trained using Detection2. In general, object instance segmentation applications also use object detection parts. Therefore, all the methods that are utilized to fine-tune object detection models can be used for object instance segmentation models. Additionally, this chapter discussed the PointRend project, which helps improve the object instance segmentation boundaries for the detected objects. Specifically, it described how PointRend works and the steps for developing object instance segmentation applications using the existing models available in the PointRend Model Zoo. Finally, this chapter also provided code snippets to train custom PointRend models on custom datasets.

Congratulations again! By now, you should have profound knowledge regarding Detectron2 and be able to develop computer vision applications by using existing models or training custom models on custom datasets...