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image-analysis.js
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var NXAPIPacks = require('./api-connector/api-connector.js');
var image2json = require('./nx/image2json.js');
var NXIMage = image2json.NXImage;
var fs = require('fs');
var AWS = require('aws-sdk');
//used for MS APIs
const najax = require('najax');
//Google
var googleImageAnalysisAPIPack = function(apiInfo, packType) {
var entitypack = new NXAPIPacks.NXAPIPack(apiInfo, packType);
entitypack.setAPIFunctionInitialize(function(serverPack, req, res, baseAPIResponse) {
var image = req.body.image;
if (image != undefined && image.dataURI != undefined) {
baseAPIResponse.inputDataPresent = "true";
// baseAPIResponse.image = image;
var gcloud_pid = process.env.GCLOUD_PROJECT;
var privateKey = process.env.GOOGLE_CLOUD_PRIVATE_KEY.replace(/\\n/g, '\n');
var clientEmail = process.env.GOOGLE_CLOUD_EMAIL;
serverPack.gcloudConfig = {
projectId: gcloud_pid,
credentials: {
client_email: clientEmail,
private_key: privateKey
}
};
serverPack.gcloud = require('google-cloud')(serverPack.gcloudConfig);
var vision = serverPack.gcloud.vision();
serverPack.gcloudParameters = {
// language: language,
image: image
// config: config
};
serverPack.visionClient = vision;
serverPack.setReady(true);
} else {
baseAPIResponse.error = "Error processing input data.";
}
});
entitypack.setAPIFunctionExecute(function(serverPack, apiResponse, completion) {
// var config = serverPack.gcloudParameters.config;
var types = ['labels', 'landmarks', 'logos', 'properties', 'safeSearch', 'text', 'faces'];
var optionsDict = new Object();
optionsDict.types = types;
optionsDict.verbose = true;
var buffer = NXIMage.bufferFromJsonImage(serverPack.gcloudParameters.image);
serverPack.visionClient.detect(buffer, optionsDict, function(err, detections) {
var renderText = "";
if (err) {
console.log("Image processing error."+err);
renderText += "<h1>Cloud Vision Error</h1>";
console.log('error:', err);
// apiResponse.result.score = -1;
resultObject = err;
}
else {
apiResponse.result.score = (detections.labels == undefined) ? 0 : detections.labels.length;
resultObject = detections;
}
apiResponse.serverResponse = resultObject;
completion(apiResponse);
});
});
return entitypack;
};
exports.googleImageAnalysisAPIPack = googleImageAnalysisAPIPack;
//Clarifai
var Clarifai = require('clarifai');
var clarifaiImageAnalysisAPIPack = function(apiInfo, packType) {
var entitypack = new NXAPIPacks.NXAPIPack(apiInfo, packType);
entitypack.setAPIFunctionInitialize(function(serverPack, req, res, baseAPIResponse) {
var image = req.body.image;
if (image != undefined && image.dataURI != undefined) {
baseAPIResponse.inputDataPresent = "true";
// baseAPIResponse.image = image;
var clarifaiClient = new Clarifai.App(
process.env.CLARIFAI_CLIENT_ID,
process.env.CLARIFAI_CLIENT_SECRET
);
serverPack.clarifaiClient = clarifaiClient;
serverPack.parameters = {
// language: language,
image: image
// config: config
};
serverPack.setReady(true);
} else {
baseAPIResponse.error = "Error processing input data.";
}
});
entitypack.setAPIFunctionExecute(function(serverPack, apiResponse, completion) {
var base64Str = NXIMage.base64StringFromJsonImage(serverPack.parameters.image);
serverPack.clarifaiClient.models
.predict(Clarifai.GENERAL_MODEL, base64Str).then(
function(response) {
if (response.outputs.length > 0 && response.outputs[0].data.concepts != undefined) {
apiResponse.result.score = response.outputs[0].data.concepts.length;
}
apiResponse.serverResponse = response;
completion(apiResponse);
},
function(err) {
apiResponse.serverResponse = err;
completion(apiResponse);
}
);
});
return entitypack;
};
exports.clarifaiImageAnalysisAPIPack = clarifaiImageAnalysisAPIPack;
//MS Azure
var msAzureImageAnalysisAPIPack = function(apiInfo, packType) {
var entitypack = new NXAPIPacks.NXAPIPack(apiInfo, packType);
entitypack.setAPIFunctionInitialize(function(serverPack, req, res, baseAPIResponse) {
var image = req.body.image;
if (image != undefined && image.dataURI != undefined) {
baseAPIResponse.inputDataPresent = "true";
// baseAPIResponse.image = image;
serverPack.params = {
// Request parameters
"language": "unk",
"detectOrientation ": "true",
};
serverPack.data = {
// language: language,
image: image
// config: config
};
var azureCognitiveApiKey = process.env.MS_AZURE_COMPUTER_VISION_KEY;
serverPack.azureCognitiveApiKey = azureCognitiveApiKey;
serverPack.setReady(true);
} else {
baseAPIResponse.error = "Error processing input data.";
}
});
entitypack.setAPIFunctionExecute(function(serverPack, apiResponse, completion) {
var visualFeatures = "Categories,Tags,Description,Color"
var buffer = NXIMage.bufferFromJsonImage(serverPack.data.image);
var visionURL = "https://api.projectoxford.ai/vision/v1.0/analyze/?visualFeatures="+visualFeatures+"&language=en";
najax({
url: visionURL,
beforeSend: function(xhrObj){
// Request headers
xhrObj.setRequestHeader("Content-Type","application/octet-stream");
xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key", serverPack.azureCognitiveApiKey);
},
type: "POST",
'processData': false,
data: buffer,
})
.done(function(resp) {
var response = JSON.parse(resp);
apiResponse.serverResponse = response;
apiResponse.result.score = (response.tags == undefined) ? 0 : response.tags.length;
completion(apiResponse);
})
.fail(function(err) {
console.error('MS Azure Sentiment - Encountered error making request:', err);
apiResponse.result = Object();
apiResponse.serverResponse = err;
completion(apiResponse);
});
});
return entitypack;
};
exports.msAzureImageAnalysisAPIPack = msAzureImageAnalysisAPIPack;
// Amazon
var amazonImageAnalysisAPIPack = function(apiInfo, packType) {
var entitypack = new NXAPIPacks.NXAPIPack(apiInfo, packType);
entitypack.setAPIFunctionInitialize(function(serverPack, req, res, baseAPIResponse) {
var image = req.body.image;
if (image != undefined && image.dataURI != undefined) {
baseAPIResponse.inputDataPresent = "true";
var rek = new AWS.Rekognition({region: 'us-west-2'});
serverPack.rek = rek;
serverPack.amazonParameters = {
image: image
};
serverPack.setReady(true);
} else {
baseAPIResponse.error = "Error processing input data.";
}
});
entitypack.setAPIFunctionExecute(function(serverPack, apiResponse, completion) {
var buffer = NXIMage.bufferFromJsonImage(serverPack.amazonParameters.image);
var params = {
Image: {
Bytes: buffer
},
MaxLabels: 100,
MinConfidence: 0.0
};
serverPack.rek.detectLabels(params, function(err, data) {
var renderText = "";
if (err) {
console.log("Image processing error."+err);
renderText += "<h1>Cloud Vision Error</h1>";
console.log('error:', err);
resultObject = err;
}
else {
apiResponse.result.score = ((data.Labels == undefined) ? 0 : data.Labels.length);
resultObject = data;
}
apiResponse.serverResponse = resultObject;
completion(apiResponse);
});
});
return entitypack;
};
exports.amazonImageAnalysisAPIPack = amazonImageAnalysisAPIPack;