module 'mediapipe' has no attribute 'solutions' in holistic tutorial code

[14790897]

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

No

OS Platform and Distribution

Ubuntu 22.04.4 LTS

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 3.12.12

MediaPipe version

0.10.32

Bazel version

No response

Solution

Holistic

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

I use the example code:https://github.com/google-ai-edge/mediapipe/blob/master/docs/solutions/holistic.md, then I get the error: module 'mediapipe' has no attribute 'solutions'

Describe the expected behaviour

no error

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

https://github.com/google-ai-edge/mediapipe/blob/master/docs/solutions/holistic.md
https://ai.google.dev/edge/mediapipe/solutions/vision/holistic_landmarker

Other info / Complete Logs

[akashvverma1995]

Hi @14790897

Thank you for reporting the issue.

As mentioned in the official documentation, the Holistic Landmarks Detection task will be available in an upgraded version.

In the current MediaPipe version (0.10.32), the Holistic solution is not included. If you would like to use this feature, please downgrade MediaPipe to version 0.10.21.

I have tested the implementation, and it works correctly with:

MediaPipe version: 0.10.21

Python version: 3.11.14

Please let me know if you need any further assistance.

[14790897]

0.10.14 is fine, 0.10.21 in kaggle has error:

2026-03-04 08:28:09.175534: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1772612889.538583      55 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1772612889.623928      55 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1772612890.414625      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1772612890.414667      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1772612890.414669      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1772612890.414671      55 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
/usr/local/lib/python3.12/dist-packages/jaxlib/plugin_support.py:71: RuntimeWarning: JAX plugin jax_cuda12_plugin version 0.7.2 is installed, but it is not compatible with the installed jaxlib version 0.7.1, so it will not be used.
  warnings.warn(
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_55/2016316346.py in <cell line: 0>()
      5 from IPython.display import Image, Video
      6 import cv2
----> 7 import mediapipe as mp
      8 
      9 # ================= 1. 基础配置与环境设置 =================

/usr/local/lib/python3.12/dist-packages/mediapipe/__init__.py in <module>
     15 from mediapipe.python import *
     16 import mediapipe.python.solutions as solutions
---> 17 import mediapipe.tasks.python as tasks
     18 
     19 

/usr/local/lib/python3.12/dist-packages/mediapipe/tasks/python/__init__.py in <module>
     15 """MediaPipe Tasks API."""
     16 
---> 17 from . import audio
     18 from . import components
     19 from . import core

/usr/local/lib/python3.12/dist-packages/mediapipe/tasks/python/audio/__init__.py in <module>
     16 
     17 import mediapipe.tasks.python.audio.core
---> 18 import mediapipe.tasks.python.audio.audio_classifier
     19 import mediapipe.tasks.python.audio.audio_embedder
     20 

/usr/local/lib/python3.12/dist-packages/mediapipe/tasks/python/audio/audio_classifier.py in <module>
     24 from mediapipe.tasks.cc.components.processors.proto import classifier_options_pb2
     25 from mediapipe.tasks.python.audio.core import audio_task_running_mode as running_mode_module
---> 26 from mediapipe.tasks.python.audio.core import base_audio_task_api
     27 from mediapipe.tasks.python.components.containers import audio_data as audio_data_module
     28 from mediapipe.tasks.python.components.containers import classification_result as classification_result_module

/usr/local/lib/python3.12/dist-packages/mediapipe/tasks/python/audio/core/base_audio_task_api.py in <module>
     23 from mediapipe.tasks.python.audio.core import audio_record
     24 from mediapipe.tasks.python.audio.core import audio_task_running_mode as running_mode_module
---> 25 from mediapipe.tasks.python.core.optional_dependencies import doc_controls
     26 
     27 _TaskRunner = task_runner_module.TaskRunner

/usr/local/lib/python3.12/dist-packages/mediapipe/tasks/python/core/optional_dependencies.py in <module>
     18 # installed.
     19 try:
---> 20   from tensorflow.tools.docs import doc_controls
     21 except ModuleNotFoundError:
     22   # Replace the real doc_controls.do_not_generate_docs with an no-op

/usr/local/lib/python3.12/dist-packages/tensorflow/__init__.py in <module>
     53 from tensorflow._api.v2 import autograph
     54 from tensorflow._api.v2 import bitwise
---> 55 from tensorflow._api.v2 import compat
     56 from tensorflow._api.v2 import config
     57 from tensorflow._api.v2 import data

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/__init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow._api.v2.compat import v1
      9 from tensorflow._api.v2.compat import v2
     10 from tensorflow.python.compat.compat import forward_compatibility_horizon # line: 125

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/__init__.py in <module>
     28 from tensorflow._api.v2.compat.v1 import autograph
     29 from tensorflow._api.v2.compat.v1 import bitwise
---> 30 from tensorflow._api.v2.compat.v1 import compat
     31 from tensorflow._api.v2.compat.v1 import config
     32 from tensorflow._api.v2.compat.v1 import data

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow._api.v2.compat.v1.compat import v1
      9 from tensorflow._api.v2.compat.v1.compat import v2
     10 from tensorflow.python.compat.compat import forward_compatibility_horizon # line: 125

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py in <module>
     45 from tensorflow._api.v2.compat.v1 import layers
     46 from tensorflow._api.v2.compat.v1 import linalg
---> 47 from tensorflow._api.v2.compat.v1 import lite
     48 from tensorflow._api.v2.compat.v1 import logging
     49 from tensorflow._api.v2.compat.v1 import lookup

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py in <module>
      7 
      8 from tensorflow._api.v2.compat.v1.lite import constants
----> 9 from tensorflow._api.v2.compat.v1.lite import experimental
     10 from tensorflow.lite.python.convert import OpsSet # line: 153
     11 from tensorflow.lite.python.convert import toco_convert # line: 937

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow._api.v2.compat.v1.lite.experimental import authoring
      9 from tensorflow.lite.python.analyzer import ModelAnalyzer as Analyzer # line: 35
     10 from tensorflow.lite.python.interpreter import OpResolverType # line: 315

/usr/local/lib/python3.12/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow.lite.python.authoring.authoring import compatible # line: 263
      9 
     10 from tensorflow.python.util import module_wrapper as _module_wrapper

/usr/local/lib/python3.12/dist-packages/tensorflow/lite/python/authoring/authoring.py in <module>
     40 from tensorflow.compiler.mlir.lite.metrics import converter_error_data_pb2
     41 # pylint: disable=g-import-not-at-top
---> 42 from tensorflow.lite.python import convert
     43 from tensorflow.lite.python import lite
     44 from tensorflow.python.util.tf_export import tf_export as _tf_export

/usr/local/lib/python3.12/dist-packages/tensorflow/lite/python/convert.py in <module>
     29 from tensorflow.compiler.mlir.quantization.stablehlo import quantization_options_pb2 as quant_opts_pb2
     30 from tensorflow.lite.python import lite_constants
---> 31 from tensorflow.lite.python import util
     32 from tensorflow.lite.python.convert_phase import Component
     33 from tensorflow.lite.python.convert_phase import convert_phase

/usr/local/lib/python3.12/dist-packages/tensorflow/lite/python/util.py in <module>
     51 # pylint: disable=unused-import
     52 try:
---> 53   from jax import jit as _jit
     54 except ImportError:
     55   _jit = None

/usr/local/lib/python3.12/dist-packages/jax/__init__.py in <module>
     35 
     36 # Force early import, allowing use of `jax.core` after importing `jax`.
---> 37 import jax.core as _core
     38 del _core
     39 

/usr/local/lib/python3.12/dist-packages/jax/core.py in <module>
     16 # See PEP 484 & https://github.com/jax-ml/jax/issues/7570
     17 
---> 18 from jax._src.core import (
     19   AbstractToken as AbstractToken,
     20   AbstractValue as AbstractValue,

/usr/local/lib/python3.12/dist-packages/jax/_src/core.py in <module>
     40 from jax._src import effects
     41 from jax._src import compute_on
---> 42 from jax._src import mesh as mesh_lib
     43 from jax._src.mesh import AxisType, get_concrete_mesh
     44 from jax._src.partition_spec import PartitionSpec as P

/usr/local/lib/python3.12/dist-packages/jax/_src/mesh.py in <module>
     29 
     30 from jax._src import config as jax_config
---> 31 from jax._src import xla_bridge as xb
     32 from jax._src.util import safe_zip, cache, tuple_delete
     33 from jax._src.lib import xla_client as xc

/usr/local/lib/python3.12/dist-packages/jax/_src/xla_bridge.py in <module>
     37 
     38 from jax._src import config
---> 39 from jax._src import distributed
     40 from jax._src import hardware_utils
     41 from jax._src import traceback_util

/usr/local/lib/python3.12/dist-packages/jax/_src/distributed.py in <module>
     21 import warnings
     22 
---> 23 from jax._src import clusters
     24 from jax._src import config
     25 from jax._src import xla_bridge

/usr/local/lib/python3.12/dist-packages/jax/_src/clusters/__init__.py in <module>
     26 from .cloud_tpu_cluster import GkeTpuCluster as GkeTpuCluster
     27 from .cloud_tpu_cluster import GceTpuCluster as GceTpuCluster
---> 28 from .k8s_cluster import K8sCluster as K8sCluster

/usr/local/lib/python3.12/dist-packages/jax/_src/clusters/k8s_cluster.py in <module>
     34     func=None,
     35     initial_delay=0,
---> 36     wait=np.logspace(-1, 1, 5) * np.random.rand(5),
     37     exceptions=Exception,
     38 ):

/usr/local/lib/python3.12/dist-packages/numpy/__init__.py in __getattr__(attr)
    335 
    336     def __dir__():
--> 337         public_symbols = globals().keys() | {'testing'}
    338         public_symbols -= {
    339             "core", "matrixlib",

/usr/local/lib/python3.12/dist-packages/numpy/random/__init__.py in <module>
    178 
    179 # add these for module-freeze analysis (like PyInstaller)
--> 180 from . import _pickle
    181 from . import _common
    182 from . import _bounded_integers

/usr/local/lib/python3.12/dist-packages/numpy/random/_pickle.py in <module>
----> 1 from .mtrand import RandomState
      2 from ._philox import Philox
      3 from ._pcg64 import PCG64, PCG64DXSM
      4 from ._sfc64 import SFC64
      5 

numpy/random/mtrand.pyx in init numpy.random.mtrand()

ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

[google-ml-butler]

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