label-maker | Data Preparation for Satellite Machine Learning | Machine Learning library

by developmentseed Python Version: 0.9.1 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | label-maker Summary

label-maker is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. label-maker 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 label-maker' or download it from GitHub, PyPI.

Data Preparation for Satellite Machine Learning

Support

Quality

Security

License

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Support

label-maker has a low active ecosystem.

It has 415 star(s) with 105 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 35 open issues and 72 have been closed. On average issues are closed in 260 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of label-maker is 0.9.1

Quality

label-maker has 0 bugs and 0 code smells.

Security

label-maker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

label-maker code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

label-maker 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

label-maker releases are available to install and integrate.

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

Parse configuration file
Download a file
Download QA tiles
Download images
Return a list of the iOUs of the bounding box
Compute the pred boxes for each object
Compute the intersection of the ground truth rectangle
Download tile tiles
Determine image format
Split a Pandas DataFrame
Create a tf example
Convert a class label text to an integer
Performs the prediction on the given image
Returns a list of the predicted boxes
Return gr bounding box

Get all kandi verified functions for this library.

label-maker Key Features

No Key Features are available at this moment for label-maker.

label-maker Examples and Code Snippets

How to remove delimiters when reading csv file in Python?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

csv_writer.writerow([line[1]])

with open('test2.csv', 'w') as new_file:
    for line in csv_reader:
        new_file.write(line[1])

How to run several functions which display information in a GUI one after another?

Python

Lines of Code : 45

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import tkinter as tk


def manage_time():
    global tracker
    if tracker == 1:
        lbl1.config(image=newImage2)
        lbl2.config(text=entry2['title'])
        lbl3.config(text=entry2['description'])
        tracker = 2
        ro

Is it possible to create multiple widgets with one method?

Python

Lines of Code : 21

License : Strong Copyleft (CC BY-SA 4.0)

Copy

class framemkr(object):
    def __init__(self, name):
        self.name = name

    def add_label(self, text, row, column, frame):
        """ Adds a label to the GUI when called.
        """
        Label(frame, text=text).grid(row=row, c

Community Discussions

Trending Discussions on label-maker

konvajs serialize stage containing images

QUESTION

konvajs serialize stage containing images

Asked 2017-Jun-30 at 05:52

I'm creating a custom label maker using Konvajs and everything was working perfectly until I tried to serialize the stage to JSON.

The user creates their custom label in three steps. The first step they select a template image from our library that has a masked area. The second step allows them to upload a personalized image that is placed behind the image that was loaded on the first step. There are external controls that allow the user to scale and move the image so it is rendered with in the masked area. The third step allows them to add text.

I want the user to be able to save their label to their library so they can use it again, but be able to modify any of the three steps. This means I need to serialize the stage to a JSON string, but the image attributes aren't saved in the JSON.

JSON String: {"attrs":{"width":500,"height":667,"id":"label-maker"},"className":"Stage","children":[{"attrs":{},"className":"Layer","children":[{"attrs":{"name":"template"},"className":"Image"}]},{"attrs":{},"className":"Layer","children":[{"attrs":{"x":160,"y":41.5,"text":"[Enter Name Here]","fontSize":30,"fontFamily":"Calibri","fill":"#555","name":"textundefined","align":"center","draggable":true,"offsetX":114.22119140625},"className":"Text"}]}]}

I'm using the Konvajs toJSON() to serialize my stage.

...

ANSWER

Answered 2017-Jun-30 at 05:52

By default Konva doesn't save information about image source to JSON. So you have to do this manually.

When you create Konva.Image you can save its source as attribute:

Source https://stackoverflow.com/questions/44835695

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

Vulnerabilities

No vulnerabilities reported

Install label-maker

Note that running this library this requires tippecanoe as a "peer-dependency" and that command should be available from your command-line before running this.