This week, I worked on reworking the matching algorithm to accommodate the use of the Deep_Fashion_Try-on ML model which trains on a set of OpenPose json responses to match key points on uploaded images of clothing to a user image. This needs to be integrated with the model that Devon is currently training, so we hope to accomplish this before the demo. This should give us exactly the try-on effect we desire. The result will be as follows:
At this point, we will only allow users to upload pre-background-subtracted images.
Construction of the mirror is going at a really good pace, the hardware subsystem itself should all be complete.
References: