tf.contrib.ffmpeg.decode_audio replacement?











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In the tensorflow docs, it stated that tf.contrib.ffmpeg.decode_audio is depreciated, however it does not state what it's replacement is...




THIS FUNCTION IS DEPRECATED. It will be removed after 2018-09-04. Instructions for updating: This will be deleted and should not be used.




Here is the link: https://www.tensorflow.org/api_docs/python/tf/contrib/ffmpeg/decode_audio










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  • tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
    – jdehesa
    Nov 12 at 11:03















up vote
0
down vote

favorite












In the tensorflow docs, it stated that tf.contrib.ffmpeg.decode_audio is depreciated, however it does not state what it's replacement is...




THIS FUNCTION IS DEPRECATED. It will be removed after 2018-09-04. Instructions for updating: This will be deleted and should not be used.




Here is the link: https://www.tensorflow.org/api_docs/python/tf/contrib/ffmpeg/decode_audio










share|improve this question






















  • tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
    – jdehesa
    Nov 12 at 11:03













up vote
0
down vote

favorite









up vote
0
down vote

favorite











In the tensorflow docs, it stated that tf.contrib.ffmpeg.decode_audio is depreciated, however it does not state what it's replacement is...




THIS FUNCTION IS DEPRECATED. It will be removed after 2018-09-04. Instructions for updating: This will be deleted and should not be used.




Here is the link: https://www.tensorflow.org/api_docs/python/tf/contrib/ffmpeg/decode_audio










share|improve this question













In the tensorflow docs, it stated that tf.contrib.ffmpeg.decode_audio is depreciated, however it does not state what it's replacement is...




THIS FUNCTION IS DEPRECATED. It will be removed after 2018-09-04. Instructions for updating: This will be deleted and should not be used.




Here is the link: https://www.tensorflow.org/api_docs/python/tf/contrib/ffmpeg/decode_audio







python tensorflow ffmpeg






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asked Nov 12 at 10:42









Imran Paruk

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  • tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
    – jdehesa
    Nov 12 at 11:03


















  • tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
    – jdehesa
    Nov 12 at 11:03
















tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
– jdehesa
Nov 12 at 11:03




tf.contrib.ffmpeg relies on ffmpeg actually being available in your environment, which makes them kind of context-dependant. I imagine that TensorFlow developers prefer not to have ops that may work in one machine but not in another. You could replace it with a tf.py_func that does the decoding, maybe with something like audioread or this script, which would be essentially the same thing, and at least it shows the dependency.
– jdehesa
Nov 12 at 11:03

















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