VQA | Visual Question Answering System | Machine Learning library

by shubham1172 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | VQA Summary

VQA is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. VQA has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Visual Question Answering uses various machine learning techniques to answer questions about images. It is a two-part process. The first part requires us to analyze a given image and find out attributes. These attributes are stored as a knowledge graph. The figure below shows how an image is passed through various modules and a knowledge graph is generated. The second part involves creating a descriptive comprehension from the knowledge graph using basic English syntax. This can be seen in the paragraph_generator module. Using DeepPavlov, we then run a pre-trained model to determine answers to the questions asked by users.

Support

Quality

Security

License

Reuse

Support

VQA has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VQA is current.

Quality

VQA has no bugs reported.

Security

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

License

VQA 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

VQA releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Predict boxes for a given frame
Compute the non - maximum suppression of a set of boxes
Read coco label file
Compute a CiderScorer
Compute the score
Compute the Cider
Compute the score for each image
Tokenize captions_for_image
Sets the score for each given imageIds
Generates a paragraph description
Create a knowledge graph
Predict class for given frame
Score a given hypothesis
Generate image caption
Prepare test data
Find the color of an image
Predict a given question
Loads the model into memory
Loads COCO
Calculate the average score
Downloads the images to tarDir
Filter the captions by words
Compute the score for the given images
Detects the text from a frame
Filter the captions by the given cap_len
Runs the test

Get all kandi verified functions for this library.

VQA Key Features

No Key Features are available at this moment for VQA.

VQA Examples and Code Snippets

No Code Snippets are available at this moment for VQA.

Community Discussions

Trending Discussions on VQA

How to use VGG19 transfer learning pretraining

Cannot import utils.programs but import utils successfully - python3 import error

TypeError: The added layer must be an instance of class Layer. Found: Tensor("concatenate_6/concat:0", shape=(None, 4608), dtype=float32)

read the element from json file with python

Yahoo finance API and excel vba

File location error in python

QUESTION

How to use VGG19 transfer learning pretraining

Asked 2021-Jan-12 at 19:26

I'm working on a VQA model, and I need some help as I'm new to this.

I want to use transfer learning from the VGG19 network before running the train, so when I start the train, I will have the image features ahead (trying to solve performance issue).

Does it possible to do so? If so, can someone please share an example with pytorch?

below is the relevant code:

...

ANSWER

Answered 2021-Jan-12 at 19:26

Yes, you can use a pretrained VGG model to extract embedding vectors from images. Here is a possible implementation, using torchvision.models.vgg*.

First retrieve the pretrained model

Source https://stackoverflow.com/questions/65690251

QUESTION

Cannot import utils.programs but import utils successfully - python3 import error

Asked 2020-Nov-14 at 16:55

I am trying to implement the code in https://github.com/kexinyi/ns-vqa.

However, when I try the command, python tools/preprocess_questions.py \ ... in the section of "Getting started". I see a message No module named 'utils.programs'.

Then I install utils and which makes import utils work, but import utils.programs does not work.

Does anyone have any idea to solve it?

...

ANSWER

Answered 2020-Nov-14 at 16:55

Solution:

Add the below lines at the beginning of preprocess_questions.py file.

Source https://stackoverflow.com/questions/63440337

QUESTION

TypeError: The added layer must be an instance of class Layer. Found: Tensor("concatenate_6/concat:0", shape=(None, 4608), dtype=float32)

Asked 2020-Mar-24 at 22:55

I'm trying to implement a VQA model in which I'm combining an image and a language model. My model definition is:

...

ANSWER

Answered 2020-Mar-24 at 22:55

The error is due to the fact that concatenate with small letter c is not a layer and only Concatenate with capital letter c is a layer. However, that will also not work in your case.

Since the your combined model is not sequential and uses inputs from two parallel or different models, it's better to use the Functional API. The following code should work:

Source https://stackoverflow.com/questions/60839398

QUESTION

read the element from json file with python

Asked 2019-Nov-15 at 19:36

I'm new to read json file in python. I want to get the url from the file. Here is my json file.

...

ANSWER

Answered 2019-Nov-15 at 19:36

You can use ast.eval_literal() within your json to make the "string formatted" list, be interpreted as a list and then reference it as you correctly stated.

Starting from your data, this worked for me:

Source https://stackoverflow.com/questions/58883532

QUESTION

Yahoo finance API and excel vba

Asked 2019-Mar-27 at 16:13

I am building excel VBA program wherein it would fetch the result from yahoo finance api for more than 60K ticklers. as there are limitation of 200 tracing tickers at a time, there are few which returns blank as a result if I am trying to trace 200 tickers a time the resultant CSV file returns only 198 symbols result as it overrides the one which has blank entry because yahoo API does not returns anything for the few symbols.

Please see below query for the same.

...

ANSWER

Answered 2017-Sep-19 at 20:01

There are two Symbols that don't look like a regular ticker:

Source https://stackoverflow.com/questions/46293747

QUESTION

File location error in python

Asked 2017-May-03 at 08:09

I am trying to implement skipthoughts vectors in my VQA project but I am facing a problem in reading a file from a specified location. This is a piece of skipthoughts code

...

ANSWER

Answered 2017-May-03 at 06:43

You need to use os.path.join, like this:

Source https://stackoverflow.com/questions/43752778

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

Vulnerabilities

No vulnerabilities reported

Install VQA

Python 3 is required.
Clone the repository -
Install the dependencies -

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: