face-completion | Face Completion based on Gated Convolution | Machine Learning library

by isi-vista Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | face-completion Summary

face-completion is a Python library typically used in Manufacturing, Utilities, Machinery, Process, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. face-completion has no bugs, it has no vulnerabilities and it has low support. However face-completion build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Encoder-Decoder for Face Completion based on Gated Convolution

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Quality

Security

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Support

face-completion has a low active ecosystem.

It has 13 star(s) with 5 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 66 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of face-completion is current.

Quality

face-completion has no bugs reported.

Security

face-completion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

face-completion 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

face-completion releases are not available. You will need to build from source code and install.

face-completion has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

forward through input .
Initialize encoder .
Initialize weights .
Calculate the penalty of a network .
Create and return valid and fake matrices .

Get all kandi verified functions for this library.

face-completion Key Features

No Key Features are available at this moment for face-completion.

face-completion Examples and Code Snippets

No Code Snippets are available at this moment for face-completion.

Community Discussions

Trending Discussions on face-completion

Cannot convert model file to .tflite

QUESTION

Cannot convert model file to .tflite

Asked 2019-Aug-26 at 02:59

I have cloned this Image Completion repository and it works on my windows machine in python. The models for face-completion and general-completion are hosted. However, the files don't have a .pb extension. How can I get the name of input and output tensors? I have tried renaming the files with .pb extension and tried loading in tensorboard using this article but it gives the error shown in the screenshot.

I have also tried running this in python using this answer but I get no nodes in output.

How can I get the details like input and output tensors to convert this model into a .tflite model for android? Screenshots:
import model error
tensorboard error

...

ANSWER

Answered 2019-Mar-01 at 17:00

The files provided in the repository are checkpoints, and not .pb files that can be converted to .tflite. This can be seen from the saver.restore() call made in demo.py.

To get a pb file, you will have to build a SavedModel. The resulting folder will contain a .py file, which you can use for conversion (assuming it contains TFLite-supported ops).

Source https://stackoverflow.com/questions/54906661

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

Vulnerabilities

No vulnerabilities reported

Install face-completion

You can download it from GitHub.
You can use face-completion like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.