Hello everyone,
Do you have any ideas about super resolution images generation with the support of EdgeImpulse platform and what is the proper hardware device that can handle this task?
Thanks for your support
Hi @Hilal - image super-resolution is an interesting field! I can see a lot of useful applications for it.
I’ll admit I don’t know too much about the types of model architectures and techniques used for deep learning approaches to SR. That said, with my current knowledge, my understanding is that Edge Impulse is not the best solution for this task.
In order to do SR, you need to provide a high resolution image to the model as a reference for the loss calculation during training. The Edge Impulse platform has not been developed to handle this. Thus far on the image front, we have focused on standard labels for image classification tasks and bounding boxes for object detection tasks.