Unet-of-remote-sensing-image | The semantic segmentation of remote sensing images
kandi X-RAY | Unet-of-remote-sensing-image Summary
kandi X-RAY | Unet-of-remote-sensing-image Summary
Unet-of-remote-sensing-image is a Python library typically used in Internet of Things (IoT), Deep Learning, Tensorflow, Keras applications. Unet-of-remote-sensing-image has no bugs, it has no vulnerabilities and it has low support. However Unet-of-remote-sensing-image build file is not available. You can download it from GitHub.
The semantic segmentation of remote sensing images
The semantic segmentation of remote sensing images
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Quality
Security
License
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Support
Unet-of-remote-sensing-image has a low active ecosystem.
It has 141 star(s) with 58 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 0 have been closed. On average issues are closed in 499 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Unet-of-remote-sensing-image is current.
Quality
Unet-of-remote-sensing-image has 0 bugs and 0 code smells.
Security
Unet-of-remote-sensing-image has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Unet-of-remote-sensing-image code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Unet-of-remote-sensing-image 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.
Reuse
Unet-of-remote-sensing-image releases are not available. You will need to build from source code and install.
Unet-of-remote-sensing-image has no build file. You will be need to create the build yourself to build the component from source.
Unet-of-remote-sensing-image saves you 288 person hours of effort in developing the same functionality from scratch.
It has 695 lines of code, 51 functions and 5 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Unet-of-remote-sensing-image and discovered the below as its top functions. This is intended to give you an instant insight into Unet-of-remote-sensing-image implemented functionality, and help decide if they suit your requirements.
- Wrapper for inference
- Unet layer
- Process an image
- Batch normalization
- Get VGG model data
- Download and extract the given url
- Bottleneck convolution bottleneck
- Create a weight variable
- Train a loss function
- Adds a summary for the gradient
- Saves an image
- Unprocess an image
- Read and return training and validation records
- Creates a list of image lists
- Get the next batch of images
- Transform a gdal file
- Get a random batch of images
- Add variable to regularization and summary metrics
Get all kandi verified functions for this library.
Unet-of-remote-sensing-image Key Features
No Key Features are available at this moment for Unet-of-remote-sensing-image.
Unet-of-remote-sensing-image Examples and Code Snippets
No Code Snippets are available at this moment for Unet-of-remote-sensing-image.
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
Display data from two json files in react native
Asked 2020-May-17 at 23:55
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Unet-of-remote-sensing-image
You can download it from GitHub.
You can use Unet-of-remote-sensing-image 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.
You can use Unet-of-remote-sensing-image 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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