TensorFlowModels | Model Reconstruction Team for TensorFlow 2.x Model Garden | 3D Printing library

by PurdueCAM2Project Python Version: Current License: No License

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kandi X-RAY | TensorFlowModels Summary

TensorFlowModels is a Python library typically used in Modeling, 3D Printing, Tensorflow applications. TensorFlowModels has no bugs, it has no vulnerabilities and it has low support. However TensorFlowModels build file is not available. You can download it from GitHub.

Model Reconstruction Team for TensorFlow 2.x Model Garden

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TensorFlowModels has a low active ecosystem.

It has 24 star(s) with 8 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 87 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TensorFlowModels is current.

Quality

TensorFlowModels has no bugs reported.

Security

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

License

TensorFlowModels does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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

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

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TensorFlowModels Key Features

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TensorFlowModels Examples and Code Snippets

No Code Snippets are available at this moment for TensorFlowModels.

Community Discussions

Trending Discussions on TensorFlowModels

TensorFlow Object Detection API error

QUESTION

TensorFlow Object Detection API error

Asked 2017-Nov-16 at 08:12

I am using Tensorflow Object Detection API to train my own object detector. After preparing everything needed: I put data/train.record, test.record, training/object-detection.pbtxt, faster_rcnn_inception_resnet_v2_atrous_pets.config into the folder of object_detection. Run

python train.py --logtostderr --train_dir = training/ --pipeline_config_path = training/faster_rcnn_inception_resnet_v2_atrous_pets.config

I got error:

...

ANSWER

Answered 2017-Sep-08 at 14:01

To summerize my comment:

Remove the spaces in front and behind the equal sign. The spaces cause the argument parser of Tensorflow (which is based on the argparse module) to parse the '=' as argument, which is obviously wrong. You can see this confusion in the error message:

tensorflow.python.framework.errors_impl.NotFoundError: =`

Source https://stackoverflow.com/questions/46080076

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

Vulnerabilities

No vulnerabilities reported

Install TensorFlowModels

You can download it from GitHub.
You can use TensorFlowModels 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.

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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