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Cross-platform, customizable ML solutions for live and streaming media.

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### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Android 15 ### Mobile device if the...

platform:javascript
type:bug
stat:awaiting googler
platform::android
task:face landmarker

### OS Platform and Distribution ubuntu22.04 ### Compiler version gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 ### Programming Language and version mediapipe 's example (mediapipe/examples/desktop/hand_tracking:hand_tracking_cpu) ### Installed using virtualenv? pip? Conda?(if python) _No...

type:build/install
legacy:hands
os:linux-non-arm

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) Yes ### OS Platform and Distribution Android 15 ### MediaPipe Tasks SDK version...

gpu
type:performance
platform::android
task:face landmarker

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Android ### Mobile device if the issue...

type:bug
stat:awaiting googler
platform::android
task:pose landmarker

### Have I written custom code (as opposed to using a stock example script provided in MediaPipe) None ### OS Platform and Distribution Ubuntu20 ### MediaPipe Tasks SDK version _No...

type:feature
platform:python
stat:awaiting googler
platform::android
os:linux-non-arm

Bumps the pip group with 1 update in the /mediapipe/model_maker directory: [werkzeug](https://github.com/pallets/werkzeug). Updates `werkzeug` from 3.0.4 to 3.0.6 Release notes Sourced from werkzeug's releases. 3.0.6 This is the Werkzeug 3.0.6...

dependencies
python

# Configure conversion parameters. config = converter.ConversionConfig( input_ckpt="C:/Users/Z8/fine_tuned_science_gemma2b-it", ckpt_format="safetensors", model_type="GEMMA_2B", backend='gpu', output_dir="C:/Users/Z8/fine_tuned_science_gemma2b-it/out", combine_file_only=False, vocab_model_file='C:/Users/Z8/fine_tuned_science_gemma2b-it/tokenizer.json', output_tflite_file=f'C:/Users/Z8/fine_tuned_science_gemma2b-it/scigemma.bin', ) # Start model conversion. converter.convert_checkpoint(config) print("Model converted successfully.") Error: --------------------------------------------------------------------------- AttributeError Traceback (most recent...

type:support
platform:python
stat:awaiting googler
platform::android
task:LLM inference