imagecluster | Cluster images based on image content | Machine Learning library
kandi X-RAY | imagecluster Summary
kandi X-RAY | imagecluster Summary
imagecluster is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. imagecluster 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.
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
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Quality
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imagecluster has a low active ecosystem.
It has 160 star(s) with 47 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 17 have been closed. On average issues are closed in 29 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of imagecluster is 0.4.1
Quality
imagecluster has 0 bugs and 0 code smells.
Security
imagecluster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
imagecluster code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
imagecluster is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
imagecluster 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.
imagecluster saves you 215 person hours of effort in developing the same functionality from scratch.
It has 526 lines of code, 28 functions and 12 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed imagecluster and discovered the below as its top functions. This is intended to give you an instant insight into imagecluster implemented functionality, and help decide if they suit your requirements.
- Performs clustering
- Compute statistics for each cluster
- Print cluster statistics
- Get image data
- Compute fingerprint for given image
- Create a VGG16 model
- Compute fingerprint of images
- Compute PCA PCA
- Read images from an image directory
- Read all timestamps in an image directory
- Return a list of files in imagedir
- Read a pk file
- Save the object to a pickle file
- Worker for timestamp creation
- Extract timestamp from EXIF file
- Compute the timestamp of a file
- Returns the time of a file
- Plot clusters
Get all kandi verified functions for this library.
imagecluster Key Features
No Key Features are available at this moment for imagecluster.
imagecluster Examples and Code Snippets
No Code Snippets are available at this moment for imagecluster.
Community Discussions
Trending Discussions on imagecluster
QUESTION
Kubernetes how to correctly mount windows path in wsl2 backed environment
Asked 2021-Apr-12 at 05:58
I have a local image that runs fine this way:
docker run -p 8080:8080 -v C:\Users\moritz\Downloads\1\imageService\examples1:/images -v C:\Users\moritz\entwicklung\projekte\imageCluster\logs:/logs imageservice
Now i want this to run as Kubernetes (using built in from Docker-for-Windows v1.19.7) deployment:
...ANSWER
Answered 2021-Apr-12 at 05:58As mentioned here, you can use below hostPath to make it work on wsl2.
QUESTION
Pytorch, Pre-trained model: How to use feature and classifier at the same time
Asked 2020-Oct-24 at 01:16
ANSWER
Answered 2020-Oct-24 at 01:16I've find the solution myself.
Sorry for bothering to Stack overflow.
here is the code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install imagecluster
You can download it from GitHub.
You can use imagecluster 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 imagecluster 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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