coco-caption | caption metrics provided by coco | Computer Vision library

by yikang-li Python Version: Current License: Non-SPDX

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

kandi X-RAY | coco-caption Summary

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

Microsoft COCO Caption Evaluation.

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Quality

Security

License

Reuse

Support

coco-caption has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

coco-caption has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of coco-caption is current.

Quality

coco-caption has no bugs reported.

Security

coco-caption has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

coco-caption 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

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

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

Top functions reviewed by kandi - BETA

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

Compute a CiderScorer
Compute the Cider coefficient for each document
Calculate the frequency of the document
Compute the score
Calculate the average score
Compute the score of a candidate
Find the longest common subsequence of two strings
Compute the SPICE score
Convert obj to float
Compute the score for the given images
Compute the statistics for a given hypothesis

Get all kandi verified functions for this library.

coco-caption Key Features

No Key Features are available at this moment for coco-caption.

coco-caption Examples and Code Snippets

No Code Snippets are available at this moment for coco-caption.

Community Discussions

Trending Discussions on coco-caption

How can I implement meteor score when evaluating a model when using the meteor_score module from nltk?

Why can't the Python command "subprocess.Popen" find the jar file to run?

Creating a .CSV file from a Lua table

QUESTION

How can I implement meteor score when evaluating a model when using the meteor_score module from nltk?

Asked 2020-Sep-07 at 14:36

I currently have 2 files, reference.txt and model.txt. These two text files contain original captions and generated captions after training.
Can I simply do the following to obtain the meteor score:

...

ANSWER

Answered 2020-Sep-07 at 14:36

Lets start by defining terms

Reference: The actual text/ground truth. If there are multiple people generating the ground truth for same datapoint you will have multiple references and all of them are assumed to be correct

hypothesis: The candidate/predicted.

Lets say the 2 people look at an image and they caption

this is an apple
that is an apple

Now your model looked at the image and predicted

an apple on this tree

You can calculate the meteor_score of how good the prediction was using

Source https://stackoverflow.com/questions/63778133

QUESTION

Why can't the Python command "subprocess.Popen" find the jar file to run?

Asked 2019-Jun-27 at 09:07

I'm trying to run code from this repo: https://github.com/tylin/coco-caption, specifically from https://github.com/tylin/coco-caption/blob/master/pycocoevalcap/tokenizer/ptbtokenizer.py, line 51-52:

...

ANSWER

Answered 2017-Oct-05 at 20:13

try an absolute path ( meaning the path beginning from root / )

https://en.wikipedia.org/wiki/Path_(computing)#Absolute_and_relative_paths

for relative paths in python see i.e. Relative paths in Python , How to refer to relative paths of resources when working with a code repository in Python

UPDATE:

As a test try subprocess.Popen() with the shell=True option and give an absolute path for any involved file, including tmpWS5p0Z

in this subprocess.Popen() call are involved two paths :

1) the python path, python has to find the java executable and the stanford-corenlp-3.4.1.jar which is essentially a java program with its own path

2) the java path of stanford-corenlp-3.4.1.jar

as this is all too complicated try

p_tokenizer = subprocess.Popen(['/absolute_path_to/java -cp /absolute_path_to/stanford-corenlp-3.4.1.jar /absolute_path_to/edu.stanford.nlp.process.PTBTokenizer -preserveLines -lowerCase /absolute_path_to/tmpWS5p0Z' ], shell=True)

Python specify popen working directory via argument

Python subprocess.Popen() error (No such file or directory)

Source https://stackoverflow.com/questions/46533717

QUESTION

Creating a .CSV file from a Lua table

Asked 2017-Jul-28 at 20:13

I am trying to create a .csv file from a lua table. I've read some of the documentation online and on this forum... but can't seem to get it. I think it's because of the format of the lua table - take a look for yourselves.

This script is all from a great open-source software called NeuralTalk2. The main point of the software is to caption images. You can read about it more on that page.

Anyways, let me introduce to you the first piece of code: a function that takes the lua table and writes it to a .json file. This is how it looks like:

...

ANSWER

Answered 2017-Jul-20 at 20:40

{
  1681 : 
    {
      caption : "a person holding a cell phone in their hand"
      image_id : "1681"
    }
  1682 : 
    {
      caption : "a person is taking a picture of a mirror"
      image_id : "1682"
    }
}

Source https://stackoverflow.com/questions/45224351

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

Vulnerabilities

No vulnerabilities reported

Install coco-caption

You can download it from GitHub.
You can use coco-caption 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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