Ee/wkf/efficientnetv2 integration#896
Merged
Merged
Conversation
Model trained and saved. Also, loading the model was tested with a sample data.
…e part in original docker file
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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 integrated the selected EfficientNetV2 TFLite model into the Engine-side inference path and validated preprocessing, class mapping, confidence output, and prediction.
The model now loads successfully inside the Docker Engine container with input shape [1, 1, 128, 313] and output shape [1, 123]. I also tested a real audio file inside the container, and it correctly predicted Acanthiza chrysorrhoa with 93.37% confidence.
Current blocker: the Engine reaches the MQTT connection stage but cannot resolve mqtt-broker:1883.
Error: CONNECTION ERROR: [Errno -2] Name or service not known
So the model side is working; the remaining issue seems to be Docker Compose/MQTT service-name or network configuration.