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google-ai-edge / mediapipe

Cross-platform, customizable ML solutions for live and streaming media.
https://ai.google.dev/edge/mediapipe
Apache License 2.0
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Can't pip install mediapipe-model-maker #5214

Open tomershukhman opened 8 months ago

tomershukhman commented 8 months ago

Have I written custom code (as opposed to using a stock example script provided in MediaPipe)

No

OS Platform and Distribution

macos sonoma

Mobile device if the issue happens on mobile device

No response

Browser and version if the issue happens on browser

No response

Programming Language and version

python 3.10

MediaPipe version

No response

Bazel version

No response

Solution

mediapipe-model-maker

Android Studio, NDK, SDK versions (if issue is related to building in Android environment)

No response

Xcode & Tulsi version (if issue is related to building for iOS)

No response

Describe the actual behavior

pip failes due to conflit

Describe the expected behaviour

for it to work...

Standalone code/steps you may have used to try to get what you need

1) tried https://github.com/tensorflow/tensorflow/issues/61719 - no good
2) tried python 3.8 - 3.11 all faid

Other info / Complete Logs

ERROR: Cannot install mediapipe-model-maker==0.1.0.2, mediapipe-model-maker==0.1.1.0 and mediapipe-model-maker==0.1.1.1 because these package versions have conflicting dependencies.

The conflict is caused by:
    mediapipe-model-maker 0.1.1.1 depends on mediapipe==0.9.2.1
    mediapipe-model-maker 0.1.1.0 depends on mediapipe==0.9.2.1
    mediapipe-model-maker 0.1.0.2 depends on mediapipe==0.9.0.1
kuaashish commented 8 months ago

Hi @tomershukhman,

Unfortunately, you won't be able to install the latest version of MediaPipe model maker (0.2.1.3) because tensorflow-text stopped supporting Windows, Aarch64, and Apple Macs since version 2.11 (refer to https://github.com/tensorflow/text/issues/1140 and https://github.com/tensorflow/text#a-note-about-different-operating-system-packages).

To install the latest version, you can try building the tensorflow-text package from their Github if you are using Apple macOS. If you are not using the text_classifier task in Model Maker (which requires tensorflow-text), you can attempt to install it using pip with the "--no-deps" parameter. You would need to install each requirement independently, excluding tensorflow-text. Note that this is a workaround suggested by a user here: https://github.com/tensorflow/text/issues/1206.

Alternatively, you can consider using Colab cloud environment to install these packages in a Linux environment.

Thank you!!

calbot commented 2 months ago

I'm not a python expert and don't need the text_classifier. What commands could I run to get the mediapipe-model-maker working on mac. Have you actually got it working like this (without installing tensorflow-text)?

olimagsax commented 2 months ago

Only way I was able to make it work, it was through using python 3.9.16, with this command : pip install "pyyaml>6.0.0" "keras<3.0.0" "tensorflow<2.16" "tf-models-official<2.16" mediapipe-model-maker --no-deps The list of packages featured in my pip freeze is :

click to expand absl-py==1.4.0 array-record==0.4.1 astunparse==1.6.3 attrs==24.2.0 bleach==6.1.0 cachetools==5.5.0 certifi==2024.8.30 cffi==1.17.1 charset-normalizer==3.3.2 click==8.1.7 colorama==0.4.6 contourpy==1.3.0 cycler==0.12.1 Cython==3.0.11 distlib==0.3.6 dm-tree==0.1.8 etils==1.5.2 flatbuffers==24.3.25 fonttools==4.53.1 fsspec==2024.9.0 gast==0.6.0 gin-config==0.5.0 google-api-core==2.19.2 google-api-python-client==2.144.0 google-auth==2.34.0 google-auth-httplib2==0.2.0 google-pasta==0.2.0 googleapis-common-protos==1.65.0 grpcio==1.66.1 h5py==3.11.0 httplib2==0.22.0 idna==3.8 immutabledict==4.2.0 importlib_metadata==8.4.0 importlib_resources==6.4.4 jax==0.4.30 jaxlib==0.4.30 joblib==1.4.2 kaggle==1.6.17 keras==2.15.0 kiwisolver==1.4.7 libclang==18.1.1 lxml==5.3.0 Markdown==3.7 markdown-it-py==3.0.0 MarkupSafe==2.1.5 matplotlib==3.9.2 mdurl==0.1.2 mediapipe==0.10.15 mediapipe-model-maker==0.2.1.3 ml-dtypes==0.4.0 namex==0.0.8 numpy==1.26.4 oauth2client==4.1.3 opencv-contrib-python==4.10.0.84 opencv-python==4.10.0.84 opencv-python-headless==4.10.0.84 opt-einsum==3.3.0 optree==0.12.1 packaging==24.1 pandas==2.2.2 pillow==10.4.0 portalocker==2.10.1 promise==2.3 proto-plus==1.24.0 protobuf==4.25.4 psutil==6.0.0 py-cpuinfo==9.0.0 pyasn1==0.6.0 pyasn1_modules==0.4.0 pycocotools==2.0.8 pycparser==2.22 Pygments==2.18.0 pyparsing==3.1.4 python-dateutil==2.9.0.post0 python-slugify==8.0.4 pytz==2024.1 PyYAML==6.0.2 regex==2024.7.24 requests==2.32.3 rich==13.8.0 rsa==4.9 sacrebleu==2.4.3 scikit-learn==1.5.1 scipy==1.13.1 sentencepiece==0.2.0 seqeval==1.2.2 six==1.16.0 sounddevice==0.5.0 tabulate==0.9.0 tensorboard==2.17.1 tensorboard-data-server==0.7.2 tensorflow==2.15.1 tensorflow-addons==0.23.0 tensorflow-datasets==4.9.3 tensorflow-hub==0.16.1 tensorflow-io-gcs-filesystem==0.37.1 tensorflow-metadata==1.13.1 tensorflow-model-optimization==0.8.0 tensorflow-text==2.17.0 termcolor==2.4.0 text-unidecode==1.3 tf-models-official==2.15.0 tf-slim==1.1.0 tf_keras==2.17.0 threadpoolctl==3.5.0 toml==0.10.2 tqdm==4.66.5 typeguard==2.13.3 typing_extensions==4.12.2 tzdata==2024.1 uritemplate==4.1.1 urllib3==2.2.2 virtualenv==20.19.0 webencodings==0.5.1 Werkzeug==3.0.4 wrapt==1.16.0 zipp==3.20.1