Image-Recognition | Recognize images using Spatial Pyramid Matching | Computer Vision library

by wihoho Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Image-Recognition Summary

Image-Recognition is a Python library typically used in Artificial Intelligence, Computer Vision applications. Image-Recognition has no bugs, it has no vulnerabilities and it has low support. However Image-Recognition build file is not available. You can download it from GitHub.

This python package implements Spatial Pyramid Matching [1] to recognize images under different categories. Furthermore, Earth Mover's distance [2] is also incorporated to better align parts of images when calculating image-to-image distance. For better explanation, please refer to my report.

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Quality

Security

License

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Support

Image-Recognition has a low active ecosystem.

It has 63 star(s) with 41 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Image-Recognition is current.

Quality

Image-Recognition has 0 bugs and 0 code smells.

Security

Image-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Image-Recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Image-Recognition 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

Image-Recognition releases are not available. You will need to build from source code and install.

Image-Recognition has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 421 lines of code, 24 functions and 9 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Image-Recognition and discovered the below as its top functions. This is intended to give you an instant insight into Image-Recognition implemented functionality, and help decide if they suit your requirements.

Build histogram for each image .
Calculate Earth distance .
Extracts the SIFT features from the given folder
Generate train and test indices .
process an image from a DSift image
Runs a multi - class SVM .
Classify a dataset .
Builds histogram .
Construct a list of kernel kernels .
Build histogram for each feature .

Get all kandi verified functions for this library.

Image-Recognition Key Features

No Key Features are available at this moment for Image-Recognition.

Image-Recognition Examples and Code Snippets

Samples a bounding box from bounding boxes .

python

Lines of Code : 122

License : Non-SPDX (Apache License 2.0)

Copy

def sample_distorted_bounding_box_v2(image_size,
                                     bounding_boxes,
                                     seed=0,
                                     min_object_covered=0.1,
                                     aspec

Sampling of a stateless bounding box .

python

Lines of Code : 120

License : Non-SPDX (Apache License 2.0)

Copy

def stateless_sample_distorted_bounding_box(image_size,
                                            bounding_boxes,
                                            seed,
                                            min_object_covered=0.1,

Samples a bounding box .

python

Lines of Code : 116

License : Non-SPDX (Apache License 2.0)

Copy

def sample_distorted_bounding_box(image_size,
                                  bounding_boxes,
                                  seed=None,
                                  seed2=None,
                                  min_object_covered=0.1,

Community Discussions

Trending Discussions on Image-Recognition

Tensorflow use : codec can't decode byte XX in position XX : invalid continuation byte

Face_Detector_Model of Clarifai Api in react project

QUESTION

Tensorflow use : codec can't decode byte XX in position XX : invalid continuation byte

Asked 2020-Dec-12 at 14:36

i'm trying to train a model, I'm used the code that can be found here : https://medium.com/@martin.lees/image-recognition-with-machine-learning-in-python-and-tensorflow-b893cd9014d2

The thing is, even when I just copy / paste the code, I got a problem that I really don't understand why I have it. I searched a lot on the tensorflow Github but found nothing to settle my problem.

Here is the traceback :

...

ANSWER

Answered 2020-Dec-12 at 14:36

The error was really stupid, because I'm on windows, this line

Source https://stackoverflow.com/questions/65259317

QUESTION

Face_Detector_Model of Clarifai Api in react project

Asked 2020-May-22 at 14:04

Can anybody help me, how to use face detect model of clarifai api to detect multiple faces. I have created App.js like this.

...

ANSWER

Answered 2020-May-14 at 18:59

Clarifai Support here. Could you please try replacing

Source https://stackoverflow.com/questions/61708914

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

Vulnerabilities

No vulnerabilities reported

Install Image-Recognition

You can download it from GitHub.
You can use Image-Recognition 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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