Keras-ICNet | Keras implementation of Real-Time Semantic Segmentation | Machine Learning library

by aitorzip Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Keras-ICNet Summary

Keras-ICNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. Keras-ICNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Keras-ICNet build file is not available. You can download it from GitHub.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

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Security

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Support

Keras-ICNet has a low active ecosystem.

It has 85 star(s) with 35 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 3 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Keras-ICNet is current.

Quality

Keras-ICNet has 0 bugs and 0 code smells.

Security

Keras-ICNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Keras-ICNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Keras-ICNet 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

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

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

Displays the prediction
Applies the color map to the given image array

Get all kandi verified functions for this library.

Keras-ICNet Key Features

No Key Features are available at this moment for Keras-ICNet.

Keras-ICNet Examples and Code Snippets

No Code Snippets are available at this moment for Keras-ICNet.

Community Discussions

Trending Discussions on Keras-ICNet

How to use a trained network as a branch in another network keras?

convert_to_generator_like num_samples Attribute Error: 'int' object has no attribute 'shape'

QUESTION

How to use a trained network as a branch in another network keras?

Asked 2019-Jul-29 at 02:49

Assume i have network simliar to this:

[ICNet_Keras] (https://github.com/aitorzip/Keras-ICNet/blob/master/model.py)

train procedure in this repo is wrong!

it has three branches. resolution 1/4 branch is a pretrained network, with saved weights. resolution 1/2 branch is part of 1/4 network, and weight-shared with 1/4 (i don't know how) resolution 1 branch is my customization.

train procedure is something like this:

1/4 is trained on Cityscapes (for relaxation) saved and reloaded
the first few layers of 1/4 branch are used for feeding resolution 1/2 images
The last branch is for full resolution image.
these branches are related with CFF (Cascade Feature Fusion module).

how can I load 1/4 pretrained weight and train whole network?
how about weight sharing between some layers in 1/4 and 1/2 branch?

for simplicity you can assume

1/4 has 5 layers trained separately and loaded for finetuning
1/2 has 2 first layers of 1/4
1 has 2 independent layer
and CFFs are just upsample+concat

...

ANSWER

Answered 2019-Jul-29 at 02:49

Have your input tensor:

Source https://stackoverflow.com/questions/57240634

QUESTION

convert_to_generator_like num_samples Attribute Error: 'int' object has no attribute 'shape'

Asked 2019-Jul-08 at 17:30

I've written a custom generator using Keras sequence, but at the end of first epoch i got: Attribute Error: Custom Generator object has no attribute 'shape'

Ubuntu 18.04 Cuda 10 Tried Tensorflow 1.13 & 1.14 seeing this page: https://github.com/keras-team/keras/issues/12586 i tried changing from keras.utils import Sequence to from tensorflow.python.keras.utils.data_utils import Sequence but no luck!

...

ANSWER

Answered 2019-Jul-08 at 17:30

Looking at the stack trace,

Source https://stackoverflow.com/questions/56939076

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

Vulnerabilities

No vulnerabilities reported

Install Keras-ICNet

You can download it from GitHub.
You can use Keras-ICNet 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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