Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Convert numpy.float32 type to python built-in float type #1462

Merged
merged 1 commit into from
Oct 18, 2022

Conversation

Enchanted0911
Copy link

Motivation

When I follow the documentation to convert the psenet model to torchserve model and start the torchserve service, the predicted image will receive a 503 error. The reason is that the float32 type of numpy will throw an exception during serialization, and the confidence type in the result predicted by pse is numpy.float32

Modification

Convert the confidence type in the PSE post-processing file from numpy.float32 to python built-in float
image

Copy link
Collaborator

@gaotongxiao gaotongxiao left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

@gaotongxiao gaotongxiao merged commit c0ebf3d into open-mmlab:main Oct 18, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

3 participants