Hello, a beginner question here. I’m trying to apply the camvid segmentation of lesson 3 on a dashcam (a camera mounted on the windscreen of a car) video but I can’t figure out how to properly input the new frames to a trained model. My goal is to eventually create a video where only cars are visible (all other segments are colored white).
Following the lesson 3 notebook, I’d like to create a new folder ‘data/camvid/test’ with all the dashcam video frames. These images have no lables and I assume they should not have any transformations or normalization done to them(?). The part I get lost at is creating a data bunch with the new images without labels. Could you point me in the right direction?
Doing predictions on new items is surely a frequently asked question, but I couldn’t find an example that matches the segmentation problem. I’m unfortunately still quite new to the Fast.ai library and unable to apply the examples in other types of problems on this one. Apologies for this.