cloudmersive-image-api-client
Advanced tools
Image_Recognition_and_Processing_APIs_let_you_use_Machine_Learning_to_recognize_and_process_images_and_also_perform_useful_image_modification_operations_
CloudmersiveImageApiClient - JavaScript client for 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. Cloudmersive Image Recognition and Computer Vision API provides advanced computer vision and image recognition capabilities.
To publish the library as a npm, please follow the procedure in "Publishing npm packages".
Then install it via:
npm install cloudmersive-image-api-client --save
To use the library locally without publishing to a remote npm registry, first install the dependencies by changing
into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:
npm install
Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:
npm link
Finally, switch to the directory you want to use your cloudmersive-image-api-client from, and run:
npm link /path/to/<JAVASCRIPT_CLIENT_DIR>
You should now be able to require('cloudmersive-image-api-client') in javascript files from the directory you ran the last
command above from.
If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:
npm install GIT_USER_ID/GIT_REPO_ID --save
The library also works in the browser environment via npm and browserify. After following
the above steps with Node.js and installing browserify with npm install -g browserify,
perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually
use this library):
browserify main.js > bundle.js
Then include bundle.js in the HTML pages.
Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:
module: {
rules: [
{
parser: {
amd: false
}
}
]
}
Please follow the installation instruction and execute the following JS code:
var CloudmersiveImageApiClient = require('cloudmersive-image-api-client');
var defaultClient = CloudmersiveImageApiClient.ApiClient.instance;
// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"
var api = new CloudmersiveImageApiClient.ArtisticApi()
var style = "style_example"; // {String} The style of the painting to apply. To start, try \"udnie\" a painting style. Possible values are: \"udnie\", \"wave\", \"la_muse\", \"rain_princess\".
var imageFile = "/path/to/file.txt"; // {File} Image file to perform the operation on. Common file formats such as PNG, JPEG are supported.
var callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
api.artisticPainting(style, imageFile, callback);
All URIs are relative to https://api.cloudmersive.com
| Class | Method | HTTP request | Description |
|---|---|---|---|
| CloudmersiveImageApiClient.ArtisticApi | artisticPainting | POST /image/artistic/painting/{style} | Transform an image into an artistic painting automatically |
| CloudmersiveImageApiClient.EditApi | editAutoOrient | POST /image/edit/auto-orient/remove-exif | Normalizes image rotation and removes EXIF rotation data |
| CloudmersiveImageApiClient.EditApi | editCompositeBasic | POST /image/edit/composite/{location} | Composite two images together |
| CloudmersiveImageApiClient.EditApi | editContrastAdaptive | POST /image/edit/contrast/{gamma}/adaptive | Adaptively adjust the contrast of the image to be more appealing and easy to see |
| CloudmersiveImageApiClient.EditApi | editDrawPolygon | POST /image/edit/draw/polygon | Draw a polygon onto an image |
| CloudmersiveImageApiClient.EditApi | editDrawRectangle | POST /image/edit/draw/rectangle | Draw a rectangle onto an image |
| CloudmersiveImageApiClient.EditApi | editDrawText | POST /image/edit/draw/text | Draw text onto an image |
| CloudmersiveImageApiClient.EditApi | editRotate | POST /image/edit/rotate/{degrees}/angle | Rotate an image any number of degrees |
| CloudmersiveImageApiClient.FaceApi | faceCompare | POST /image/face/compare-and-match | Compare and match faces |
| CloudmersiveImageApiClient.FaceApi | faceCropFirst | POST /image/face/crop/first | Crop image to face (square) |
| CloudmersiveImageApiClient.FaceApi | faceCropFirstRound | POST /image/face/crop/first/round | Crop image to face (round) |
| CloudmersiveImageApiClient.FaceApi | faceDetectAge | POST /image/face/detect-age | Detect the age of people in an image |
| CloudmersiveImageApiClient.FaceApi | faceDetectGender | POST /image/face/detect-gender | Detect the gender of people in an image |
| CloudmersiveImageApiClient.FaceApi | faceLocate | POST /image/face/locate | Find faces in an image |
| CloudmersiveImageApiClient.FaceApi | faceLocateWithLandmarks | POST /image/face/locate-with-landmarks | Find faces and face landmarks (eyes, eye brows, nose, mouth) in an image |
| CloudmersiveImageApiClient.NsfwApi | nsfwClassify | POST /image/nsfw/classify | Not safe for work (NSFW) racy content classification |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDescribe | POST /image/recognize/describe | Describe an image in natural language |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectAndUnskewDocument | POST /image/recognize/detect-document/unskew | Detect and unskew a photo of a document |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectObjects | POST /image/recognize/detect-objects | Detect objects, including types and locations, in an image |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectPeople | POST /image/recognize/detect-people | Detect people, including locations, in an image |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectTextFine | POST /image/recognize/detect-text/fine | Detect fine text in a photo of a document |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectTextLarge | POST /image/recognize/detect-text/large | Detect large text in a photo |
| CloudmersiveImageApiClient.RecognizeApi | recognizeDetectVehicleLicensePlates | POST /image/recognize/detect-vehicle-license-plates | Detect vehicle license plates in an image |
| CloudmersiveImageApiClient.ResizeApi | resizePost | POST /image/resize/preserveAspectRatio/{maxWidth}/{maxHeight} | Resize an image with parameters |
FAQs
Image_Recognition_and_Processing_APIs_let_you_use_Machine_Learning_to_recognize_and_process_images_and_also_perform_useful_image_modification_operations_
The npm package cloudmersive-image-api-client receives a total of 16 weekly downloads. As such, cloudmersive-image-api-client popularity was classified as not popular.
We found that cloudmersive-image-api-client demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
Security News
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.