cloudmersive-image-api-client 2.0.8

imageapi

cloudmersive_image_api_client

Image Recognition and Processing APIs let you use Machine Learning to recognize and process images, and also perform useful image modification operations.

This Python package provides a native API client for Cloudmersive Image Recognition and Processing

• API version: v1
• Package version: 2.0.8
• Build package: io.swagger.codegen.languages.PythonClientCodegen

Requirements.

Python 2.7 and 3.4+

Installation & Usage

pip install

If the python package is hosted on Github, you can install directly from Github

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import cloudmersive_image_api_client 

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import cloudmersive_image_api_client

Getting Started

Please follow the installation procedure and then run the following:

from __future__ import print_function
import time
import cloudmersive_image_api_client
from cloudmersive_image_api_client.rest import ApiException
from pprint import pprint

# Configure API key authorization: Apikey
configuration = cloudmersive_image_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'

# create an instance of the API class
api_instance = cloudmersive_image_api_client.ArtisticApi(cloudmersive_image_api_client.ApiClient(configuration))
style = 'style_example' # str | The style of the painting to apply.  To start, try \"udnie\" a painting style.  Possible values are: \"udnie\", \"wave\", \"la_muse\", \"rain_princess\".
image_file = '/path/to/file.txt' # file | Image file to perform the operation on.  Common file formats such as PNG, JPEG are supported.

try:
    # Transform an image into an artistic painting automatically
    api_response = api_instance.artistic_painting(style, image_file)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling ArtisticApi->artistic_painting: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Class	Method	HTTP request	Description
ArtisticApi	artistic_painting	POST /image/artistic/painting/{style}	Transform an image into an artistic painting automatically
EditApi	edit_auto_orient	POST /image/edit/auto-orient/remove-exif	Normalizes image rotation and removes EXIF rotation data
EditApi	edit_composite_basic	POST /image/edit/composite/{location}	Composite two images together
EditApi	edit_contrast_adaptive	POST /image/edit/contrast/{gamma}/adaptive	Adaptively adjust the contrast of the image to be more appealing and easy to see
EditApi	edit_draw_polygon	POST /image/edit/draw/polygon	Draw a polygon onto an image
EditApi	edit_draw_rectangle	POST /image/edit/draw/rectangle	Draw a rectangle onto an image
EditApi	edit_draw_text	POST /image/edit/draw/text	Draw text onto an image
EditApi	edit_rotate	POST /image/edit/rotate/{degrees}/angle	Rotate an image any number of degrees
FaceApi	face_compare	POST /image/face/compare-and-match	Compare and match faces
FaceApi	face_crop_first	POST /image/face/crop/first	Crop image to face (square)
FaceApi	face_crop_first_round	POST /image/face/crop/first/round	Crop image to face (round)
FaceApi	face_detect_age	POST /image/face/detect-age	Detect the age of people in an image
FaceApi	face_detect_gender	POST /image/face/detect-gender	Detect the gender of people in an image
FaceApi	face_locate	POST /image/face/locate	Find faces in an image
FaceApi	face_locate_with_landmarks	POST /image/face/locate-with-landmarks	Find faces and face landmarks (eyes, eye brows, nose, mouth) in an image
NsfwApi	nsfw_classify	POST /image/nsfw/classify	Not safe for work (NSFW) racy content classification
RecognizeApi	recognize_describe	POST /image/recognize/describe	Describe an image in natural language
RecognizeApi	recognize_detect_and_unskew_document	POST /image/recognize/detect-document/unskew	Detect and unskew a photo of a document
RecognizeApi	recognize_detect_objects	POST /image/recognize/detect-objects	Detect objects, including types and locations, in an image
RecognizeApi	recognize_detect_people	POST /image/recognize/detect-people	Detect people, including locations, in an image
RecognizeApi	recognize_detect_text_fine	POST /image/recognize/detect-text/fine	Detect fine text in a photo of a document
RecognizeApi	recognize_detect_text_large	POST /image/recognize/detect-text/large	Detect large text in a photo
RecognizeApi	recognize_detect_vehicle_license_plates	POST /image/recognize/detect-vehicle-license-plates	Detect vehicle license plates in an image
ResizeApi	resize_post	POST /image/resize/preserveAspectRatio/{maxWidth}/{maxHeight}	Resize an image with parameters

Documentation For Models

• AgeDetectionResult
• DetectedLicensePlate
• DetectedObject
• DrawPolygonInstance
• DrawPolygonRequest
• DrawRectangleInstance
• DrawRectangleRequest
• DrawTextInstance
• DrawTextRequest
• Face
• FaceCompareResponse
• FaceLocateResponse
• FaceLocateWithLandmarksResponse
• FaceMatch
• FacePoint
• FaceWithLandmarks
• FineTextDetectionResult
• FineTextItem
• GenderDetectionResult
• ImageDescriptionResponse
• NsfwResult
• ObjectDetectionResult
• PersonWithAge
• PersonWithGender
• PolygonPoint
• RecognitionOutcome
• TextDetectionResult
• TextItem
• VehicleLicensePlateDetectionResult

Documentation For Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header

Author