Segment-Anything in High Quality Docker images available
Docker images for Segment-Anything in High Quality (SAM-HQ) are now available.
Just like SAM, SAM-HQ is a great tool for aiding a human annotating images for image segmentation or object detection, as it can determine a relatively good outline of an object based on either a point or a box. Only pre-trained models are available.
The code used by the docker images is available from here:
github.com/waikato-datamining/pytorch/tree/master/segment-anything-hq
The tags for the images are as follows:
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In-house registry:
public.aml-repo.cms.waikato.ac.nz:443/pytorch/pytorch-sam-hq:2023-08-17_cuda11.6public.aml-repo.cms.waikato.ac.nz:443/pytorch/pytorch-sam-hq:2023-08-17_cpu
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Docker hub:
waikatodatamining/pytorch-sam-hq:2023-08-17_cuda11.6waikatodatamining/pytorch-sam-hq:2023-08-17_cpu