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kinetics-i3d-pytorch's Issues

Transfer learning

I was wondering if someone try to perform transfer learning based on this implementation? How did you proceed and do you get any results ?

Error when running i3d_tf_to_pt.py

tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key RGB/inception_i3d/Conv3d_1a_7x7/batch_norm/beta not found in checkpoint

Errors when converting i3d pre-trained on Kinetics 600

When I convert the pre-trained i3d on Kinetics 600, the error occurs as follows:

Key RGB/inception_i3d/Conv3d_1a_7x7/batch_norm/beta not found in checkpoint
         [[node save/RestoreV2 (defined at i3d_tf_to_pt.py:66)  = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

Libraries versions specification is required

Hi there
I found this repository helpful but I am facing some issues while running the i3d_tf_to_pt.py. Here are the logs python gives me:

python i3d_tf_to_pt.py --rgb
Traceback (most recent call last):
  File "i3d_tf_to_pt.py", line 9, in <module>
    from src.i3dtf import InceptionI3d
  File "/home/sheetal/kinetics_i3d_pytorch/src/i3dtf.py", line 28, in <module>
    import sonnet as snt
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/sonnet/__init__.py", line 64, in <module>
    _ensure_dependency_available_at_version('tensorflow_probability', '0.4.0')
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/sonnet/__init__.py", line 47, in _ensure_dependency_available_at_version
    pkg = importlib.import_module(package_name)
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/__init__.py", line 78, in <module>
    from tensorflow_probability.python import *  # pylint: disable=wildcard-import
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/python/__init__.py", line 21, in <module>
    from tensorflow_probability.python import bijectors
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/python/bijectors/__init__.py", line 46, in <module>
    from tensorflow_probability.python.bijectors.matveclu import MatvecLU
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/python/bijectors/matveclu.py", line 24, in <module>
    from tensorflow_probability.python.math.linalg import lu_reconstruct
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/python/math/__init__.py", line 22, in <module>
    from tensorflow_probability.python.math.diag_jacobian import diag_jacobian
  File "/home/sheetal/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_probability/python/math/diag_jacobian.py", line 24, in <module>
    tfe = tf.contrib.eager
AttributeError: module 'tensorflow' has no attribute 'contrib'

I think the issue is because of different versions of different libraries. It would be great if you can specify versions of the dependencies and help me fix this issue.

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