ImageCluster | ImageCluster project is aimed to cluster unlabeled images | Machine Learning library
kandi X-RAY | ImageCluster Summary
kandi X-RAY | ImageCluster Summary
The ImageCluster project is aimed to cluster unlabeled images based on the SOTA models. It designed for engineers and students to fast feature maps and cluster the image according to your cluster-algo hyperparameter. This flow contains two main steps:.
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Top functions reviewed by kandi - BETA
- Train the model
- Runs the model
- Cluster images
- Calculate k - means clustering
- Merge all training images
- Copies chosen_kmeans_k_num_kmeans
ImageCluster Key Features
ImageCluster Examples and Code Snippets
Community Discussions
Trending Discussions on ImageCluster
QUESTION
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
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 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.
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