Metadata-Version: 2.1
Name: hsvpicker
Version: 4.0
Summary: Finding HSV bounding values for tracking/masking an object.
Home-page: https://github.com/Karthikprabuvetrivel/hsvpicker
Author: Karthik Prabu V
Author-email: sanjkar13@gmail.com
License: MIT
Download-URL: https://github.com/Karthikprabuvetrivel/hsvpicker/archive/v4.0.tar.gz
Description: # hsvpicker
        Finding HSV bounding values for tracking/masking an object 
        
        ## How to find HSV bounding values to track or mask an object?.
          This is the most common question as stated in opencv documentation. By using the hsvpicker we get a hsv bounding values by simply calling a function.
          
        ## Overview:
          We can get lower and upper bounding hsv values by clicking the left button of a mouse on an image for which object we want to track or mask.
          
        ## Usage:
        
        ### Getting it:
        
        To download hsvpicker, either fork this github repo or simply use Pypi via pip.
        ```sh
            $ pip install hsvpicker
        ``` 
        
        ### Using it:
        
        ##### STEP 1: import hsvpicker package 
        ```python
        from hsvpicker.hsv import HSV
        ```
        ##### STEP 2: Create an object
        ```python 
        bound = HSV('pass the image url')
        ```
        ##### STEP 3: Getting a HSV value 
        ```python
        bound.get_value()
        ```
        Image will display here, you will choose color by simply double clicking the mouse's left button on an image and then it finds hsv values of the respected color .(i.e The color which we want to track or mask). PRESS ```q``` to quit the window.
        
        ##### STEP 4 : Getting a bounding values
        ```python
        lower_bound,upper_bound = bound.get_boundings(h = 20,s = 50,v = 60)
        ```
        You can fine tune color boundings by using h,s and v. Default values of h,s, and v are 20,50,60 respectively. This function returns numpy.ndarray.
        
Keywords: hsv,opencv,cv2,mask,track,object,images,videos
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
