Lipreading_using_Temporal_Convolutional_Networks | 22 Training Strategies for Improved Lip

by mpc001 Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Lipreading_using_Temporal_Convolutional_Networks Summary

Lipreading_using_Temporal_Convolutional_Networks is a Python library. Lipreading_using_Temporal_Convolutional_Networks has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Lipreading_using_Temporal_Convolutional_Networks has a Non-SPDX License. You can download it from GitHub.

2020-12-08: We release the audio only model which achieves the testing accuracy of 98.5% on LRW.

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Lipreading_using_Temporal_Convolutional_Networks has a low active ecosystem.

It has 281 star(s) with 83 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 42 have been closed. On average issues are closed in 73 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Lipreading_using_Temporal_Convolutional_Networks is current.

Quality

Lipreading_using_Temporal_Convolutional_Networks has no bugs reported.

Security

Lipreading_using_Temporal_Convolutional_Networks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Lipreading_using_Temporal_Convolutional_Networks has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Lipreading_using_Temporal_Convolutional_Networks releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Lipreading_using_Temporal_Convolutional_Networks and discovered the below as its top functions. This is intended to give you an instant insight into Lipreading_using_Temporal_Convolutional_Networks implemented functionality, and help decide if they suit your requirements.

Train the model
Mix mixture of data
Update the sum
Create a TensorFlow model from a json file
Calculate the 2 - norm of the network
Load json from file
Loads the dataset
Retrieve all the files for the given partition
Forward forward computation
Reshape a 3D tensor
Get data loaders for each partition
Get preprocessing pipeline
Crop an image
Read a video file
Get save folder
Forward computation
Run the bottleneck
Save data to a NumPy array
Load commandline arguments
Load data
Get the optimizer object
Create a logger for mylog
Interpolate landmarks
Evaluate a model
Load a model from a given path
Saves the current best training checkpoint

Get all kandi verified functions for this library.

Lipreading_using_Temporal_Convolutional_Networks Key Features

No Key Features are available at this moment for Lipreading_using_Temporal_Convolutional_Networks.

Lipreading_using_Temporal_Convolutional_Networks Examples and Code Snippets

No Code Snippets are available at this moment for Lipreading_using_Temporal_Convolutional_Networks.

Community Discussions

No Community Discussions are available at this moment for Lipreading_using_Temporal_Convolutional_Networks.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Lipreading_using_Temporal_Convolutional_Networks

Clone the repository into a directory. We refer to that directory as TCN_LIPREADING_ROOT.
Install all required packages.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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