DBow | Hierarchical bag-of-word library for C | Computer Vision library

by dorian3d C++ Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | DBow Summary

DBow is a C++ library typically used in Artificial Intelligence, Computer Vision applications. DBow has no bugs, it has no vulnerabilities and it has low support. However DBow has a Non-SPDX License. You can download it from GitHub.

DBow is an open source C++ library for indexing and converting images into a bag-of-word representation. It implements a hierarchical tree for approximating nearest neighbours in the image feature space and creating a visual vocabulary. DBow also implements an image database, based on an inverted file structure, for indexing images and enabling quick queries. DBow does not require OpenCV (except for the demo application), but they are fully compatible. You can check the demo included with the library to see how to use SURF features effortlessly. DBow has been tested on a real dataset collected by the Rawseeds FP6-project, for a loop-closing application. In this test, 1755 images of an outdoor route were indexed in their bag-of-word representation and checked for matches in real time. On a Intel Quad CPU at 2.82 GHz, building a vocabulary with 95 words from a set of 1300 images took 3 minutes (without considering the feature extraction). The average time of adding a new image to the database was 1.9 ms, whereas querying the database took 7.2 ms on average.

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Quality

Security

License

Reuse

Support

DBow has a low active ecosystem.

It has 28 star(s) with 12 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

DBow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DBow is current.

Quality

DBow has 0 bugs and 0 code smells.

Security

DBow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DBow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DBow has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

DBow 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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DBow Key Features

No Key Features are available at this moment for DBow.

DBow Examples and Code Snippets

No Code Snippets are available at this moment for DBow.

Community Discussions

Trending Discussions on DBow

'Doc2Vec' object has no attribute 'outputs', while saving doc2vec for tensorflow serving

How can i validate a field that is for a Certificate Signing Request is in the correct format and has a keylength of 2048

Why is my Doc2Vec model in gensim not reproducible?

QUESTION

'Doc2Vec' object has no attribute 'outputs', while saving doc2vec for tensorflow serving

Asked 2022-Feb-24 at 18:20

I have been trying to save a movie recommendation model from github to then serve using tf-serving. The code below will first create a list of taggs from my corpus and then provide me vectors based on those lists

...

ANSWER

Answered 2022-Feb-24 at 18:20

I wouldn't expect the tf.keras.models.suave_model() function – which sounds from its naming to be specific to TensorFlow & Keras – to work on a Gensim Doc2Vec model, which is not part of, or related to, or built upon either TensorFlow or Keras.

Looking at the docs for save_model(), I see its declared functionality is:

Saves a model as a TensorFlow SavedModel or HDF5 file.

Neither "TensorFlow SavedModel" nor "HDF5 file" should be expected as sufficient formats to save another project's custom model (in this case a Gensim Doc2Vec object), unless it specifically claimed that as a capability. So some sort of failure or error here is expected behavior.

If you real goal is to simply be able to re-load the model later, don't involve TensorFlow/Keras at all. You could either:

use Python's internal pickle mechanism, or
use the .save(fname) method native-to model classes in the Gensim package, which uses its own pickel-and-numpy-based save format. For example:

Source https://stackoverflow.com/questions/71252330

QUESTION

How can i validate a field that is for a Certificate Signing Request is in the correct format and has a keylength of 2048

Asked 2021-Sep-14 at 03:46

I have written an input form (in ServiceNow) for admins to request a new certificate via a Cert Authority integration. However prior to submission i want to validate the Certificate Signing request has the correct headers and a keylength of 2048.

Example of CSR:

...

ANSWER

Answered 2021-Sep-14 at 03:46

This will be very difficult to do up...

Checking the CSR headers is relatively straight forward... you can do something like the following in an onSubmit script

Source https://stackoverflow.com/questions/69170953

QUESTION

Why is my Doc2Vec model in gensim not reproducible?

Asked 2021-Apr-20 at 18:49

I have noticed that my gensim Doc2Vec (DBOW) model is sensitive to document tags. My understanding was that these tags are cosmetic and so they should not influence the learned embeddings. Am I misunderstanding something? Here is a minimal example:

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ANSWER

Answered 2021-Apr-20 at 14:02

Have you checked the magnitude of the differences?

Just running:

Source https://stackoverflow.com/questions/67179473

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

Vulnerabilities

No vulnerabilities reported

Install DBow

The library is delivered with installation files for Visual Studio 9 (at least) and simple Makefiles. It has been tested on Windows with Visual Studio and STLport, and on Ubuntu with gcc 4.2.4. To install in Windows, open the Visual Studio sln file, open the Property page of the Demo project, change the include and library path of OpenCV if it is necessary, and compile all. If you do not have OpenCV installed or do not want to build the Demo application, disable that project.

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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