tensorflow / tensorflow/tflite-support
broken model after adding metadata
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- Dominant language
- C++
- Stars
- 441
- Forks
- 146
- PR merge metrics
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Description
Good day! I'm new to this, so forgive the stupid question. I'm trying to run MobileClip2_S0 via MediaPipe and Android ImageEmbedder Tasks, which requires model metadata to run. I successfully converted the model to Litert (Tflite) format, but after adding the metadata, the PlaceholderForGreaterOpCodes placeholders appear in the model. What should I do? Thanks!
1 img - model ok
2 img - broken
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the reported conversion from MobileClip2_S0 to LiteRT (TFLite) and the subsequent metadata addition for MediaPipe Android ImageEmbedder Tasks. Compare the two attached model states and determine why PlaceholderForGreaterOpCodes appears after metadata is added; done means documenting a reproducible cause and the required compatible conversion or metadata process.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- android
- Domain
- machine-learning, mobile-dev
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100