resnet-classifier | Deep ConvNet Image Classifier based on Residual | Machine Learning library

by pskrunner14 Python Version: Current License: MIT

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kandi X-RAY | resnet-classifier Summary

resnet-classifier is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. resnet-classifier has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Deep ConvNet Image Classifier based on Residual Network architecture trained on Caltech 101 Object Dataset

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resnet-classifier has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of resnet-classifier is current.

Quality

resnet-classifier has 0 bugs and 0 code smells.

Security

resnet-classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

resnet-classifier code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

resnet-classifier is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

resnet-classifier 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.

It has 395 lines of code, 15 functions and 5 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train a keras model
Create a keras model
Convolutional block
Configure callbacks
Compute the identity block
Create the model paths
Process an image dataset
Preprocess an image
Augment training images
Move images
Make prediction

Get all kandi verified functions for this library.

resnet-classifier Key Features

No Key Features are available at this moment for resnet-classifier.

resnet-classifier Examples and Code Snippets

No Code Snippets are available at this moment for resnet-classifier.

Community Discussions

Trending Discussions on resnet-classifier

Tensorflow Serving on pretrained Keras ResNet50 model returning always same predictions

QUESTION

Tensorflow Serving on pretrained Keras ResNet50 model returning always same predictions

Asked 2018-Dec-11 at 12:40

I'm using the following code to export a pre-trained ResNet50 keras' model to tensorflow, for tensorflow-serving:

...

ANSWER

Answered 2018-Dec-11 at 12:40

I've found that calling sess.run(tf.global_variables_initializer()) overrides pretrained weights, clue found at http://zachmoshe.com/2017/11/11/use-keras-models-with-tf.html.

The solution for me was really simple, just change the first block of code in the original question by the following, which calls tf.global_variables_initializer() before model instantiation / weight load:

Source https://stackoverflow.com/questions/53469433

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

Vulnerabilities

No vulnerabilities reported

Install resnet-classifier

In order to train the model and make predictions, you will need to install the required python packages using:.

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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