dupre | Streamlit UI to remove duplicate or near duplicate images | Machine Learning library
kandi X-RAY | dupre Summary
kandi X-RAY | dupre Summary
dupre is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. dupre has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Dupre provides an easy-to-use streamlit UI for imagededup package that simplifies the task of finding exact and near duplicates in an image collection. Imagededup package provides a bunch of hashing algorithms that are particularly good at finding exact duplicates. It also provides a convolutional neural networks which are adept at finding near duplicates. An evaluation framework is also provided to judge the quality of deduplication for a given dataset. Detailed documentation of the package can be found at: Dupre is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows. It is distributed under the Apache 2.0 license.
Dupre provides an easy-to-use streamlit UI for imagededup package that simplifies the task of finding exact and near duplicates in an image collection. Imagededup package provides a bunch of hashing algorithms that are particularly good at finding exact duplicates. It also provides a convolutional neural networks which are adept at finding near duplicates. An evaluation framework is also provided to judge the quality of deduplication for a given dataset. Detailed documentation of the package can be found at: Dupre is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows. It is distributed under the Apache 2.0 license.
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Security
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Support
dupre has a low active ecosystem.
It has 8 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
dupre has no issues reported. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of dupre is current.
Quality
dupre has 0 bugs and 0 code smells.
Security
dupre has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dupre code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dupre is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
dupre releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dupre
dupre Key Features
No Key Features are available at this moment for dupre.
dupre Examples and Code Snippets
No Code Snippets are available at this moment for dupre.
Community Discussions
Trending Discussions on dupre
QUESTION
System.Threading.Timer async - Merge updates on Timer Thread back to Master Thread
Asked 2020-Sep-11 at 23:07
I am quite new to threading so I do apologise if this makes not much sense or I am missing something obvious. Basically I have a list of items List
in memory containing 4 entries.
ANSWER
Answered 2020-Sep-11 at 23:07So your main issue is that ASP.NET controllers are transient... meaning they are created new for each request directed at said controller.
A quick fix for your issue is to do this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dupre
Note: imagededup comes with TensorFlow CPU-only support by default. If you have GPUs, you should rather install the TensorFlow version with GPU support especially when you use CNN to find duplicates. It's way faster. See the TensorFlow guide for more details on how to install it.
Install streamlit from PyPI (recommended):
Install imagededup from the GitHub source:
In order to find duplicates in an image directory start by:.
Install streamlit from PyPI (recommended):
Install imagededup from the GitHub source:
In order to find duplicates in an image directory start by:.
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 .
Find more information at:
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