squeezedet-keras | Keras implementation of the Squeeze Det Object | Machine Learning library

by omni-us Python Version: Current License: MIT

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kandi X-RAY | squeezedet-keras Summary

squeezedet-keras is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. squeezedet-keras 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.

Keras implementation of the Squeeze Det Object Detection Deep Learning Framework

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Support

squeezedet-keras has a low active ecosystem.

It has 126 star(s) with 37 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 8 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of squeezedet-keras is current.

Quality

squeezedet-keras has 0 bugs and 0 code smells.

Security

squeezedet-keras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

squeezedet-keras code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

squeezedet-keras 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

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

Evaluate training
Generator function for training images
Load a config file
Set image anchors
Train training
Loads weights from an h5py file
Run training scripts
Create k - fold dataset
Ensure the directory exists
Split images into train_eval
Create the model
Fires a single layer
Create a configuration dictionary for use in dropout
Compute the anchor boxes from the given delta delta
Exponential exp
Transform a bbox
Recursive implementation of NMS algorithm
Calculate the boxes for a given delta delta
Slice predictions from numpy array
Sigmoid function
Softmax of x
Update the model if it has changed
Detach model from m
Given a set of boxes and a list of boxes return a list of boxes that match a given threshold
Create a configuration from a dictionary
Get a configuration dictionary for a given detector
Save a dictionary to a json file
Save dictionary to json file

Get all kandi verified functions for this library.

squeezedet-keras Key Features

No Key Features are available at this moment for squeezedet-keras.

squeezedet-keras Examples and Code Snippets

No Code Snippets are available at this moment for squeezedet-keras.

Community Discussions

Trending Discussions on squeezedet-keras

Keras seems to hang after call to fit_generator

QUESTION

Keras seems to hang after call to fit_generator

Asked 2018-Jul-06 at 15:08

I am trying to fit the Keras implementation of the SqueezeDet model to a new dataset. After making the appropriate changes to my config file, I tried to run the train script, but it seems to hang after the call to fit_generator(). As I get the following output:

...

ANSWER

Answered 2018-Jul-06 at 15:08

Formatting conversation in comments to answer.

The culprit was train_generator.

I have looked into sources of model.fit_generator in Keras some time ago. It just retrieves some data from the generator and submits it to the backend, nothing magical :)

So, my hypothesis was that it cannot retrieve data from the generator because the generator does not generate anything.

@Barker has confirmed it, stating that call to next(train_generator) hangs.

I personally have moved to keras.utils.Sequence that supports indexing and length and is much more convenient than ordinary generators. Though this note is not related to the current problem.

Source https://stackoverflow.com/questions/51176661

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

Vulnerabilities

No vulnerabilities reported

Install squeezedet-keras

Please have a look at our Installation Guide.

Support

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