LipNet
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rizkiarm
Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'
Hello! Students who want to study with 'LipNet'. I don't know what the meaning of '[GPUs (optional)]' in './train random_split [GPUs (optional)]' in the middle of usage. Can you tell...
Bumps [numpy](https://github.com/numpy/numpy) from 1.12.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.0.1 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
can any one help me to solve this problem ?? !python predict.py evaluation/models/overlapped-weights368.h5 evaluation/samples/id2_vcd_swwp2s.mpg 2021-08-05 21:48:07.043957: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0 Loading data from disk... Traceback (most recent...
There is a problem with the Extract Mouth Batch.py script, Instead of cropping the mouth region it crops the upper eye. I identified that this has something to do with...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 4.1.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Bumps [nltk](https://github.com/nltk/nltk) from 3.2.2 to 3.6.3. Changelog Sourced from nltk's changelog. Version 3.6.3 2021-09-19 Dropped support for Python 3.5 Run CI tests on Windows, too Moved from Travis CI to...
Hi @rizkiarm Not sure if this is a right place to ask his query. Have you tried this model on 'Lipreading in Wild' dataset, Joon and Zisserman, ACCV'16? Thanks.
sorry for my english skill we have problem with predict.py. We train with overlapped_speakers and train is over epoch 500. Truth and Decoded are same. But predict result is weird....
thank you for your great work! please is there a way i can run your project on my machine or on colab? i tried doing so via this link: https://colab.research.google.com/drive/1hn5bABxYn1BZzPAoL_JjHp55b5eo4LB4?usp=sharing...
