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Clarification on license for modifications to Yolo-NAS with pre-trained weights #1993
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Not a legal advice here. But this question has been already earlier, you may want to search for closed issues for more info. But in short: |
Hi, thank you for your help. However, my question is about using yolo-nas with pre-trained weight non-commercially. As far as I understand the pre-trained weights fall under the license(s) that I linked above.
If this has been already answered, could you please point me there since I am unable to find it? And if it is forbidden, can I get your consent to do these steps in order to use yolo-nas on Friagte with Rockchip devices? |
Sorry for asking again, but can anybody help me understand the license? |
Hey @BloodAxe, |
I'm certainly not a person in charge of enforcing license compliance :) |
Hey @BloodAxe, |
💡 Your Question
Hi,
I want to implement yolo-nas in the open-source project Frigate for Rockchip devices. These devices include a NPU that can speed up inference. However, the model has to be converted to another format (
.rknn
) and inference has to be performed with the Rockchip API using Rockchips open-source toolkit.As far as I understand, Yolo-NAS with pretrained weights is licensed under this license that says:
Is it therefore forbidden to convert the model to
.rknn
format, because it is a modification?Moreover, some (mostly post-process) layers don't run efficiently on the NPU or sometimes don't work at all. In this case I need to remove the layer from the model and perform the operation on the CPU/GPU. Is this allowed?
Moreover, here it says:
Does this mean, that one can use yolo-nas only with SuperGradients and not with the Rockchip API that is required to use the NPU?
If any of the above steps are prohibited, can I get your consent to perform them in order to integrate Yolo-NAS in Frigate for Rockchip users?
Thank you in advance for your help.
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