Open Masoud-kamali opened 5 months ago
To inference images without corresponding depth maps or not belongs to any ImageNet-1k categories is challenging for the ImageNet pretrained models.
You could estimate depth map using a monocular depth estimator and assign the image a closest category inside ImageNet-1k for inference. But the performance is not guaranteed.
Hi,
Just a quick question, could it be possible to inference in our images using pre-trained models? if so, please describe a little bit.
Thanks