Feature: Flask Client and Server #266
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@microsoft-github-policy-service agree |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
I found myself wanting to use TRELLIS on a platform with lower compute capabilities. So I added a flask server and client to my fork of the repo.
This way, I can launch the flask server on our institutional cluster, and I can open a tunnel from my machine to the cluster. I can then use the flask client to stream images to the flask server, and obtain GLB files and video renders from it.
This might be useful for people looking to obtain meshes using a command line interface (using POST/GET requests) from weaker hardware.
Note: most of this PR was generated by an LLM, and I just tuned and fixed bugs I found. I don't guarantee this is 100% bug-free, but I found that I can easily generate GLBs using the client, both from single and from multiple images.