Partial posterizer v2

Description

Replaces dominant colors by other colors. Different algorithm from V1 Real time: True

Usage

• Pre processing: Transform the image to help segmentation, the image may not retain it's properties. Changes here will be ignored when extracting features

Parameters

• Activate tool (enabled): Toggle whether or not tool is active (default: 1)
• Color to use to replace blue dominant pixels (blue_color): Replace value of pixels where blue is dominant and represents more than % value by selected color (default: none)
• Blue channel threshold value (post_blue_value): Blue pixel value threshold (as percentage) (default: 100)
• Color to use to replace green dominant pixels (green_color): Replace value of pixels where green is dominant and represents more than % value by selected color (default: none)
• Green channel threshold value (post_green_value): Green pixel value threshold (as percentage) (default: 100)
• Color to use to replace red dominant pixels (red_color): Replace value of pixels where red is dominant and represents more than % value by selected color (default: none)
• Red channel threshold value (post_red_value): Red pixel value threshold (as percentage) (default: 100)

Example

Source

Parameters/Code

Default values are not needed when calling function

from ipapi.base.ipt_functional import call_ipt

image = call_ipt(
    ipt_id="IptPartialPosterizerV2",
    source="(TomatoSamplePlant)--(2019-07-04 10_00_00)--(TomatoSampleExperiment)--(vis-side0).jpg",
    return_type="result",
    blue_color='fuchsia'
)

Result