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Installation

pip install gaugedetect

Usage

import gaugedetect as gd

result = gd.digital_url(user_id=YOUR_USER_ID, product_key=YOUR_PRODUCT_KEY, image_url=YOUR_IMAGE_URL) # { 'result': 40.0 }

Simple Document

gaugedetect.digital_url

gaugedetect.digital_url(user_id, product_key, image_url, image_width, image_height, overlay_top, overlay_width, overlay_height, confident)
"""Gauge detect with digital gauge from image url.
Args:
  user_id (str): User.id from ABC website
  product_key (str) : Product key from ABC website
  image_url (str) : URL about your images (requests image from URL)
  image_width (str) : Width of image
  image_height (str) : Hight of image
  overlay_top (str) : Position for overlay start top point
  overlay_width (str) : From overlay top point to overlay width size
  overlay_heihgt (str) : From overlay top point to overlay heihgt size
Return:
  response (json) : Result of CV detect image to text
"""

gaugedetect.digital_image

gaugedetect.digital_image(user_id, product_key, image_path, image_width, image_height, overlay_top, overlay_width, overlay_height, confident)
"""Gauge detect with digital gauge from image.
Args:
  user_id (str): User.id from ABC website
  product_key (str) : Product key from ABC website
  image_path (str) : Path of image location
  image_width (str) : Width of image
  image_height (str) : Hight of image
  overlay_top (str) : Position for overlay start top point
  overlay_width (str) : From overlay top point to overlay width size
  overlay_heihgt (str) : From overlay top point to overlay heihgt size
Return:
  response (json) : Result of CV detect image to text
"""

gaugedetect.clock_url

gaugedetect.clock_url(user_id, product_key, image_url, gauge_min=0, gauge_max=100, image_width, image_height, overlay_top, overlay_width, overlay_height, confident)
"""Gauge detect with clock gauge from image url.
Args:
  user_id (str): User.id from ABC website
  product_key (str) : Product key from ABC website
  image_url (str) : URL about your images (requests image from URL)
  gauge_min (str): Min of gauge
  gauge_max (str) : Max of gauge
  image_width (str) : Width of image
  image_height (str) : Hight of image
  overlay_top (str) : Position for overlay start top point
  overlay_width (str) : From overlay top point to overlay width size
  overlay_heihgt (str) : From overlay top point to overlay heihgt size
Return:
  response (json) : Result of CV detect image to text
"""

gaugedetect.clock_image

gaugedetect.clock_image(user_id, product_key, image_path, gauge_min=0, gauge_max=100, image_width, image_height, overlay_top, overlay_width, overlay_height, confident)
"""Gauge detect with clock gauge from image.
Args:
  user_id (str): User.id from ABC website
  product_key (str) : Product key from ABC website
  image_path (str) : Path of image location
  gauge_min (str): Min of gauge
  gauge_max (str) : Max of gauge
  image_width (str) : Width of image
  image_height (str) : Hight of image
  overlay_top (str) : Position for overlay start top point
  overlay_width (str) : From overlay top point to overlay width size
  overlay_heihgt (str) : From overlay top point to overlay heihgt size
Return:
  response (json) : Result of CV detect image to text
"""

Parameters

The function class can be created with the following optional parameters:

Name Required Default
user_id True
product_key True
image_url/image_path True
gauge_min False 0
gauge_max False 100
image_width False base on the image size
image_height False base on the image size
overlay_top False 0
overlay_left False 0
overlay_width False 0
overlay_height False 0
confident False 0

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