public static void VisualSearchImageBinary(string subscriptionKey)
{
var client = new VisualSearchAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
try
{
using (FileStream stream = new FileStream(Path.Combine("TestImages", "image.jpg"), FileMode.Open))
{
// The knowledgeRequest parameter is not required if an image binary is passed in the request body
var visualSearchResults = client.Images.VisualSearchMethodAsync(image: stream, knowledgeRequest: (string)null).Result;
Console.WriteLine("Search visual search request with binary of dog image");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {visualSearchResults.Image.ImageInsightsToken}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
var firstTagResult = visualSearchResults.Tags.First();
Console.WriteLine($"Visual search tag count: {visualSearchResults.Tags.Count}");
// List of actions in first tag
if (firstTagResult.Actions.Count > 0)
{
var firstActionResult = firstTagResult.Actions.First();
Console.WriteLine($"First tag action count: {firstTagResult.Actions.Count}");
Console.WriteLine($"First tag action type: {firstActionResult.ActionType}");
}
else
{
Console.WriteLine("Couldn't find tag actions!");
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
public static void VisualSearchImageBinaryWithCropArea(string subscriptionKey)
{
var client = new VisualSearchAPI(new Microsoft.Azure.CognitiveServices.Search.VisualSearch.ApiKeyServiceClientCredentials(subscriptionKey));
try
{
CropArea CropArea = new CropArea(top: (float)0.01, bottom: (float)0.30, left: (float)0.01, right: (float)0.20);
// The ImageInfo struct specifies the crop area in the image and the URL of the larger image.
string imageURL = "https://docs.microsoft.com/azure/cognitive-services/bing-visual-search/media/ms_srleaders.jpg";
ImageInfo imageInfo = new ImageInfo(cropArea: CropArea, url: imageURL);
VisualSearchRequest visualSearchRequest = new VisualSearchRequest(imageInfo: imageInfo);
var visualSearchResults = client.Images.VisualSearchMethodAsync(knowledgeRequest: visualSearchRequest).Result;
Console.WriteLine("\r\nVisual search request with image from URL and crop area combined in knowledgeRequest");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
foreach (ImageTag t in visualSearchResults.Tags)
{
foreach (ImageAction i in t.Actions)
{
Console.WriteLine("\r\n" + "ActionType: " + i.ActionType + " -> WebSearchUrl: " + i.WebSearchUrl);
if (i.ActionType == "PagesIncluding")
{
foreach (ImageObject o in (i as ImageModuleAction).Data.Value)
{
Console.WriteLine("ContentURL: " + o.ContentUrl);
}
}
}
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
// This method will get Visual Search results from an imageInsightsToken obtained from the return value of the ImageResults method.
// The method includes imageInsightsToken the in a knowledgeRequest parameter, along with a cropArea object.
// It prints out the imageInsightsToken uploaded in the request.
// Finally the example prints URLs of images found using the imageInsightsToken.
public static void VisualSearchInsightsToken(string subscriptionKey, string insightsTok)
{
var client = new VisualSearchAPI(new Microsoft.Azure.CognitiveServices.Search.VisualSearch.ApiKeyServiceClientCredentials(subscriptionKey));
try
{
// The image can be specified via an insights token, in the ImageInfo object.
ImageInfo ImageInfo = new ImageInfo(imageInsightsToken: insightsTok);
// An image binary is not necessary here, as the image is specified by insights token.
VisualSearchRequest VisualSearchRequest = new VisualSearchRequest(ImageInfo);
var visualSearchResults = client.Images.VisualSearchMethodAsync(knowledgeRequest: VisualSearchRequest).Result;
Console.WriteLine("\r\nVisual search request with imageInsightsToken and knowledgeRequest");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {insightsTok}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
if (visualSearchResults.Tags.Count > 0)
{
// List of tags
foreach (ImageTag t in visualSearchResults.Tags)
{
foreach (ImageAction i in t.Actions)
{
Console.WriteLine("\r\n" + "ActionType: " + i.ActionType + " WebSearchURL: " + i.WebSearchUrl);
if (i.ActionType == "PagesIncluding")
{
foreach (ImageObject o in (i as ImageModuleAction).Data.Value)
{
Console.WriteLine("ContentURL: " + o.ContentUrl);
}
}
}
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
public static void VisualSearchImageBinaryWithCropArea(string subscriptionKey)
{
var client = new VisualSearchAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
try
{
using (FileStream stream = new FileStream(Path.Combine("TestImages", "image.jpg"), FileMode.Open))
{
// The ImageInfo struct contains a crop area specifying a region to crop in the uploaded image
CropArea CropArea = new CropArea(top: (float)0.1, bottom: (float)0.5, left: (float)0.1, right: (float)0.9);
ImageInfo ImageInfo = new ImageInfo(cropArea: CropArea);
VisualSearchRequest VisualSearchRequest = new VisualSearchRequest(imageInfo: ImageInfo);
// The knowledgeRequest here holds additional information about the image, which is passed in in binary form
var visualSearchResults = client.Images.VisualSearchMethodAsync(image: stream, knowledgeRequest: VisualSearchRequest).Result;
Console.WriteLine("Search visual search request with binary of dog image");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {visualSearchResults.Image.ImageInsightsToken}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
var firstTagResult = visualSearchResults.Tags.First();
Console.WriteLine($"Visual search tag count: {visualSearchResults.Tags.Count}");
// List of actions in first tag
if (firstTagResult.Actions.Count > 0)
{
var firstActionResult = firstTagResult.Actions.First();
Console.WriteLine($"First tag action count: {firstTagResult.Actions.Count}");
Console.WriteLine($"First tag action type: {firstActionResult.ActionType}");
}
else
{
Console.WriteLine("Couldn't find tag actions!");
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
public static void VisualSearchUrlWithJson(string subscriptionKey)
{
var client = new VisualSearchAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
try
{
/*
* The visual search request can be passed in as a JSON string
* The image is specified via URL in the ImageInfo object, along with a crop area as shown below:
* {
* "imageInfo": {
* "url": "https://images.unsplash.com/photo-1512546148165-e50d714a565a?w=600&q=80",
* "cropArea": {
* "top": 0.1,
* "bottom": 0.5,
* "left": 0.1,
* "right": 0.9
* }
* },
* "knowledgeRequest": {
* "filters": {
* "site": "www.bing.com"
* }
* }
* }
*/
var VisualSearchRequestJSON = "{\"imageInfo\":{\"url\":\"https://images.unsplash.com/photo-1512546148165-e50d714a565a?w=600&q=80\",\"cropArea\":{\"top\":0.1,\"bottom\":0.5,\"left\":0.1,\"right\":0.9}},\"knowledgeRequest\":{\"filters\":{\"site\":\"www.bing.com\"}}}";
// An image binary is not necessary here, as the image is specified via URL
var visualSearchResults = client.Images.VisualSearchMethodAsync(knowledgeRequest: VisualSearchRequestJSON).Result;
Console.WriteLine("Search visual search request with url of dog image");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {visualSearchResults.Image.ImageInsightsToken}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
var firstTagResult = visualSearchResults.Tags.First();
Console.WriteLine($"Visual search tag count: {visualSearchResults.Tags.Count}");
// List of actions in first tag
if (firstTagResult.Actions.Count > 0)
{
var firstActionResult = firstTagResult.Actions.First();
Console.WriteLine($"First tag action count: {firstTagResult.Actions.Count}");
Console.WriteLine($"First tag action type: {firstActionResult.ActionType}");
}
else
{
Console.WriteLine("Couldn't find tag actions!");
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
public static void VisualSearchInsightsTokenWithCropArea(string subscriptionKey)
{
var client = new VisualSearchAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
try
{
// The image can be specified via an insights token, in the ImageInfo object
var ImageInsightsToken = "bcid_113F29C079F18F385732D8046EC80145*ccid_oV/QcH95*mid_687689FAFA449B35BC11A1AE6CEAB6F9A9B53708*thid_R.113F29C079F18F385732D8046EC80145";
// An optional crop area can be passed in to define a region of interest in the image
CropArea CropArea = new CropArea(top: (float)0.1, bottom: (float)0.5, left: (float)0.1, right: (float)0.9);
ImageInfo ImageInfo = new ImageInfo(imageInsightsToken: ImageInsightsToken, cropArea: CropArea);
// An image binary is not necessary here, as the image is specified via insights token
VisualSearchRequest VisualSearchRequest = new VisualSearchRequest(imageInfo: ImageInfo);
var visualSearchResults = client.Images.VisualSearchMethodAsync(knowledgeRequest: VisualSearchRequest).Result;
Console.WriteLine("Search visual search request with url of dog image");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {visualSearchResults.Image.ImageInsightsToken}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
var firstTagResult = visualSearchResults.Tags.First();
Console.WriteLine($"Visual search tag count: {visualSearchResults.Tags.Count}");
// List of actions in first tag
if (firstTagResult.Actions.Count > 0)
{
var firstActionResult = firstTagResult.Actions.First();
Console.WriteLine($"First tag action count: {firstTagResult.Actions.Count}");
Console.WriteLine($"First tag action type: {firstActionResult.ActionType}");
}
else
{
Console.WriteLine("Couldn't find tag actions!");
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
public static void VisualSearchUrlWithFilters(string subscriptionKey)
{
var client = new VisualSearchAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
try
{
// The image can be specified via URL, in the ImageInfo object
var ImageUrl = "https://images.unsplash.com/photo-1512546148165-e50d714a565a?w=600&q=80";
ImageInfo ImageInfo = new ImageInfo(url: ImageUrl);
// Optional filters inside the knowledgeRequest will restrict similar products and images to certain domains
Filters Filters = new Filters(site: "www.bing.com");
KnowledgeRequest KnowledgeRequest = new KnowledgeRequest(filters: Filters);
// An image binary is not necessary here, as the image is specified via URL
VisualSearchRequest VisualSearchRequest = new VisualSearchRequest(imageInfo: ImageInfo, knowledgeRequest: KnowledgeRequest);
var visualSearchResults = client.Images.VisualSearchMethodAsync(knowledgeRequest: VisualSearchRequest).Result;
Console.WriteLine("Search visual search request with url of dog image");
if (visualSearchResults == null)
{
Console.WriteLine("No visual search result data.");
}
else
{
// Visual Search results
if (visualSearchResults.Image?.ImageInsightsToken != null)
{
Console.WriteLine($"Uploaded image insights token: {visualSearchResults.Image.ImageInsightsToken}");
}
else
{
Console.WriteLine("Couldn't find image insights token!");
}
// List of tags
if (visualSearchResults.Tags.Count > 0)
{
var firstTagResult = visualSearchResults.Tags.First();
Console.WriteLine($"Visual search tag count: {visualSearchResults.Tags.Count}");
// List of actions in first tag
if (firstTagResult.Actions.Count > 0)
{
var firstActionResult = firstTagResult.Actions.First();
Console.WriteLine($"First tag action count: {firstTagResult.Actions.Count}");
Console.WriteLine($"First tag action type: {firstActionResult.ActionType}");
}
else
{
Console.WriteLine("Couldn't find tag actions!");
}
}
else
{
Console.WriteLine("Couldn't find image tags!");
}
}
}
catch (Exception ex)
{
Console.WriteLine("Encountered exception. " + ex.Message);
}
}
