cvdata | Tools for creating and manipulating computer vision datasets | Dataset library

by monocongo Python Version: 0.0.7 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | cvdata Summary

cvdata is a Python library typically used in Artificial Intelligence, Dataset applications. cvdata has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cvdata' or download it from GitHub, PyPI.

Tools for creating and manipulating computer vision datasets.

Support

Quality

Security

License

Reuse

Support

cvdata has a low active ecosystem.

It has 15 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 19 open issues and 62 have been closed. On average issues are closed in 1 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cvdata is 0.0.7

Quality

cvdata has 0 bugs and 0 code smells.

Security

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

cvdata code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cvdata is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Deletes the KITTI files with KITTI annotations
Purges files that are not match
Convert a PNG image to a JPG file
Returns a set of file IDs that match the given files
Filter the class boxes in src_dir
Count the number of boxes in the darknet
Count the number of boxes in the annotation file
Count the number of boxes in kitti
Creates training and validation images
Show all TFRecords in a directory
Remove duplicates from images_dir
Convert a directory to openimages
Create training files for training images
Builds a tfrecord writer
Resizes a dataset
Return a set of file IDs matching the given extensions
Show the segmentation of the given TFRecord
Exclude files from exclusion files
Converts masked datasets into TFRecord files
Extracts bounding boxes from a KITTI annotation file
Removes PASCAL files with PASCAL annotations
Convert vgg files to masks
Cleans up the darknet annotations in images_dir
Get a list of boxes from a pascal image
Create training validation dataset
Convert a KITTI file to Darknet format
Convert from PASCAL to KITTI

Get all kandi verified functions for this library.

cvdata Key Features

No Key Features are available at this moment for cvdata.

cvdata Examples and Code Snippets

cvdata,Split dataset into training, validation, and test subsets

Python

Lines of Code : 14

License : Permissive (MIT)

Copy

$ cvdata_split --annotations_dir /data/rifle/kitti/label_2 \
> --images_dir /data/rifle/kitti/image_2 \
> --train_annotations_dir /data/rifle/split/kitti/trainval/label_2 \
> --train_images_dir /data/rifle/split/kitti/trainval/image_2 \
>

cvdata,Annotation format conversion

Python

Lines of Code : 12

License : Permissive (MIT)

Copy

$ cvdata_convert --in_format pascal --out_format kitti \
    --annotations_dir /data/handgun/pascal \
    --images_dir /data/handgun/images \
    --out_dir /data/handgun/kitti \
    --kitti_ids_file handgun.txt

$ cvdata_convert --in_format kitti --o

cvdata,Masks

Python

Lines of Code : 9

License : Permissive (MIT)

Copy

$ cvdata_mask --images /data/images \
>   --annotations /data/via_annotations.json \
>   --masks /data/masks \
>   --format vgg \
>   --classes /data/class_labels.txt

$ cvdata_mask --images /data/images --masks /data/masks \
>       -

Community Discussions

Trending Discussions on cvdata

Uncaught TypeError: undefined is not iterable (cannot read property Symbol(Symbol.iterator)) only on production

UICollectionView Top spacing

Data sending between components doesn't work

How to pass an element to another component (easiest way)?

Update part of interface with "unknown" data

How to include the TensorFlow object detection API into my Python project?

QUESTION

Uncaught TypeError: undefined is not iterable (cannot read property Symbol(Symbol.iterator)) only on production

Asked 2022-Mar-08 at 22:40

I'm migrating a Gatsby project from JS to TS, everything works fine in development, no errors on build, but when I use gatsby serve or deploy somewhere else, I'm getting this error on browser console when I click in any button:

index.tsx:

...

ANSWER

Answered 2022-Mar-08 at 22:40

In case there's no "cvdata" key set in localstorage, I modified the first useEffect to

Source https://stackoverflow.com/questions/71399972

QUESTION

UICollectionView Top spacing

Asked 2021-Dec-12 at 14:56

i have a Problem with my UICollectionView inside my Swift Xcode Project I checked all insets and margins, I tried the ViewController's: "Adjust Scroll View Insets" and lots of other stuff, but none of them did change this in any way.

i want to reduce / remove that top spacing above the first row of cells in my collectionView

I created a sample project to find a solution/fix for this issue, but didn't had any luck yet

This seems to be a issue when using a Collection View inserted via Storyboard /Interface builder, because this does not happen if I add the collectionView on the code side

Here's my View Controller's Code:

...

ANSWER

Answered 2021-Dec-12 at 14:56

I haven't worked with UICollectionViewCompositionalLayout.list, so this is just from some quick research and experimentation...

The default .headerMode for UICollectionLayoutListConfiguration is .none ... when using .insetGrouped that results in the "extra space" we're seeing.

Curiously, there is also a headerTopPadding property, which we might expect to be of help here. It's default is 0 ... but that appears to only be applied if there IS a header view.

So, if we set .headerMode = .supplementary and return an empty UICollectionReusableView for the header, we can get rid of the extra space:

Now, the top space is the same as the default left/right padding.

Here's what I used for the header view:

Source https://stackoverflow.com/questions/70316155

QUESTION

Data sending between components doesn't work

Asked 2020-Jun-05 at 10:39

I have 2 components and I'd like to send the value of a string from one to the other. I have no idea why it is not working.

This is how I did it:

Component 1 (from):

...

ANSWER

Answered 2020-Jun-05 at 10:39

Demo You can do it with service if not related components, using @Input if parent child component. In demo both of them are avaible .

write service like

Source https://stackoverflow.com/questions/62188725

QUESTION

How to pass an element to another component (easiest way)?

Asked 2020-Jun-02 at 13:11

I have a string in one of the components and I would like to send it to another component when the submit button is pushed. I found solutions (input, emit...) but none of them worked.

This is my component from where I'd like to pass the variable:

...

ANSWER

Answered 2020-Jun-02 at 13:11

In your cvPageComponent.html you use output

on your page you create a method that handle your cvDate like this:

Source https://stackoverflow.com/questions/62151794

QUESTION

Update part of interface with "unknown" data

Asked 2020-Apr-28 at 06:27

App in React and Typescript.

I have a data structure like this

...

ANSWER

Answered 2020-Apr-28 at 06:27

const {name, ...rest }  = datafromWebSocket
setCVData(cvData=>({...cvData, [name]: {...cvData[name], ...rest}}))

Source https://stackoverflow.com/questions/61473538

QUESTION

How to include the TensorFlow object detection API into my Python project?

Asked 2020-Jan-05 at 03:53

I am using the TensorFlow object detection API in a Python project. In order to run the code in PyCharm I include the location of the TensorFlow git repository's models/research directory as a "Content Root". When I run the code at command line I include this directory location in PYTHONPATH. This is simple enough, but I'd like to eliminate the need for users to take care of this legwork if it's possible to have the TensorFlow object-detection module installed into the environment along with the other dependencies of my project's package.

I have tried adding the following to my requirements.txt to no avail (i.e. pip install requirements.txt hangs):

...

ANSWER

Answered 2020-Jan-05 at 03:53

The egg=... parameter is used only to tell pip the name of the module. To install from the research subdirectory of the repository, append another parameter:

Source https://stackoverflow.com/questions/59596694

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

Vulnerabilities

No vulnerabilities reported

Install cvdata

This package can be installed into the active Python environment, making the cvdata module available for import within other Python codes and available for utilization at the command line as illustrated in the usage examples below. This package is currently supported for Python versions 3.6 and 3.7, and the installation methods below assume that the package will be installed into a Python 3.6 or 3.7 virtual environment. This package can be installed into the active Python environment from PyPI via pip. In addition to installing this package from PyPI, users will also need to install the TensorFlow Object Detection API from that project's GitHub repository.

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: