The NFT tracker works by looking for a known feature points defined by a dataset, which is a representative descriptor of the image you want to track. This section will guide you to producing a high-quality soft-copy image for NFT tracking.
Care must be taken to ensure that the image supplied to the training tools is not too big (wasteful of memory, disk and CPU during tracking) and not too small (of insufficient detail to allow tracking when the camera is close to the image). Whether starting from a pre-existing print, or a soft-copy image, the considerations for resolution and target size are the same: