Fix perspective

Description

Fixes perspective using four dots to detect rectangle boundary.
Use the included threshold utility to detect the dots.
Real time: True

Usage

• Exposure fixing: Fix image exposure, the resulting image will be used for color analysis
• 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)
• Module mode (mode): (default: threshold)
• Channel 1 (c1): (default: h)
• Min threshold for channel 1 (c1_low): (default: 0)
• Max threshold for channel 1 (c1_high): (default: 255)
• Channel 2 (c2): (default: none)
• Min threshold for channel 2 (c2_low): (default: 0)
• Max threshold for channel 2 (c2_high): (default: 255)
• Channel 3 (c3): (default: none)
• Min threshold for channel 3 (c3_low): (default: 0)
• Max threshold for channel 3 (c3_high): (default: 255)
• How to merge thresholds (merge_mode): (default: multi_and)
• Morphology operator (morph_op): (default: none)
• Kernel size (kernel_size): (default: 3)
• Kernel shape (kernel_shape): (default: ellipse)
• Iterations (proc_times): (default: 1)
• Minimal dot size (surface) (min_dot_size): (default: 30)
• Maximal dot size (surface) (max_dot_size): (default: 3000)
• Destination width (dst_width): (default: 800)
• Destination height (dst_height): (default: 600)

Example

Source

Parameters/Code

Default values are not needed when calling function

from ipapi.ipt import call_ipt

image = call_ipt(
    ipt_id="IptFixPerspective",
    source="(perspective)--(2019-10-16 11_30_01)--(perspective_sample)--(vis-top).jpg",
    return_type="result",
    mode='fix_perspective',
    c1='b',
    c1_high=50,
    min_dot_size=10,
    dst_width=900
)

Result