Comments (1)
monajalal
commented on September 6, 2024
(EfficientPose) mona@ada:~/effpose/EfficientPose$ pip show h5py
Name: h5py
Version: 3.7.0
Summary: Read and write HDF5 files from Python
Home-page: http://www.h5py.org
Author: Andrew Collette
Author-email: [email protected]
License: BSD
Location: /home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages
Requires: numpy
Required-by: Keras-Applications
(EfficientPose) mona@ada:~/effpose/EfficientPose$ pip uninstall h5py
Found existing installation: h5py 3.7.0
Uninstalling h5py-3.7.0:
Would remove:
/home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages/h5py-3.7.0.dist-info/*
/home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages/h5py/*
Proceed (Y/n)? y
Successfully uninstalled h5py-3.7.0
(EfficientPose) mona@ada:~/effpose/EfficientPose$ pip install h5py==2.10.0
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting h5py==2.10.0
Downloading h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl (2.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 16.1 MB/s eta 0:00:00
Requirement already satisfied: numpy>=1.7 in /home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages (from h5py==2.10.0) (1.18.5)
Requirement already satisfied: six in /home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages (from h5py==2.10.0) (1.16.0)
Installing collected packages: h5py
Successfully installed h5py-2.10.0
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Related Issues (20)
- Inference on LineMOD dataset doesn't work HOT 4
- Not able to install requirements.txt
- Model not getting trained HOT 1
- ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject HOT 1
- /home/mona/anaconda3/envs/EfficientPose/compiler_compat/ld: warning: /home/mona/anaconda3/envs/EfficientPose/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 HOT 1
- Epoch 00162: ADD did not improve from 0.00000 -- is this an expected result for training using object 8 of LINEMOD?
- 关于多个物体预测的问题
- NAN loss using your conda env and data and command after 500 epochs HOT 11
- Procedure to train on custom dataset
- evaluation phase for object 8 of linemod -- raise ValueError('Unexpectedly found an instance of type `' + str(type(x)) + ValueError: Unexpectedly found an instance of type `<class 'keras.src.engine.keras_tensor.KerasTensor'>`. Expected a symbolic tensor instance.
- training using COCO pretrained weights for object 9 of linemod -- ValueError: Unexpectedly found an instance of type `<class 'keras.src.engine.keras_tensor.KerasTensor'>`. Expected a symbolic tensor instance.
- File "utils/compute_overlap.pyx", line 1, in init utils.compute_overlap """ ImportError: numpy.core.multiarray failed to import (auto-generated because you didn't call 'numpy.import_array()' after cimporting numpy; use '<void>numpy._import_array' to disable if you are certain you don't need it).
- using your versions of packages -- File "/home/mona/anaconda3/envs/effpose/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__ raise AttributeError(__former_attrs__[attr]) AttributeError: module 'numpy' has no attribute 'object'. `np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
- File "/home/mona/anaconda3/envs/effpose/lib/python3.8/site-packages/skimage/__init__.py", line 122, in <module> from ._shared import geometry File "geometry.pyx", line 1, in init skimage._shared.geometry ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject
- node_def.attr[k].CopyFrom(v) File "/home/mona/anaconda3/envs/effpose/lib/python3.8/site-packages/google/protobuf/internal/containers.py", line 70, in __getitem__ return self._values[key] TypeError: list indices must be integers or slices, not str
- Data projecion problem HOT 3
- Rotation Error in Predictions HOT 6
- File "/home/mona/anaconda3/envs/EfficientPose/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/hdf5_format.py", line 712, in load_weights_from_hdf5_group_by_name original_keras_version = f.attrs['keras_version'].decode('utf8') AttributeError: 'str' object has no attribute 'decode' HOT 1
- Transitioning EfficientPose to New GPUs Post-GTX Discontinuation (Important)
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