Add ML for 1.4.0 #64
Open
Add ML for 1.4.0 #64
Conversation
This file contains 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
We don't use it. But for some reason the headless openCV is being overriden by Yolo's openCV. trying with libgl1-mesa-glx now
…tor was too large)
So (still testing... need to see this running) we used an virtual environment. If not all the previous calls end in something like 44.72 + python3 -m pip install --user -r requirements.txt --ignore-installed packaging 44.85 error: externally-managed-environment 44.85 44.85 × This environment is externally managed 44.85 ╰─> 44.85 The system-wide python installation should be maintained using the system 44.85 package manager (apk) only.
… PHP) But i fixed it @alliomeria !! GOSHH
…einstalled after the ML models Might be that torch/pillow/pandas or scikit-learn end fetching their own requirements breaking everything (maybe it is Keras). But this works. It does work (does it work?) pretty sure it does
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Outdated suggestions cannot be applied.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.
What?
Adds the (demo model driven) ML endpoints for the auth based/internal ML processing and KNN vector search
We will still provide the previous container for the many that don't need to evaluate ML