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(Ruby) Google Cloud Vision Text DetectionDemonstrates calling the Google Cloud Vision for text detection (performs Optical Character Recognition). "Detects and extracts text within an image with support for a broad range of languages. It also features automatic language identification." See https://cloud.google.com/vision/docs/detecting-text
require 'chilkat' # This example requires the Chilkat API to have been previously unlocked. # See Global Unlock Sample for sample code. # Build the following request: # { # "requests": [ # { # "image": { # "content": "/9j/7QBEUGhvdG9zaG9...base64-encoded-image-content...fXNWzvDEeYxxxzj/Coa6Bax//Z" # }, # "features": [ # { # "type": "TEXT_DETECTION" # } # ] # } # ] # } # Use this online tool to generate the code from sample JSON: # Generate Code to Create JSON # Load an image file. imageData = Chilkat::CkBinData.new() # This image file contains some text... success = imageData.LoadFile("qa_data/jpg/text.jpg") if (success != true) print "Failed to load image file." + "\n"; exit end # Create the above JSON. json = Chilkat::CkJsonObject.new() json.UpdateBd("requests[0].image.content","base64",imageData) json.UpdateString("requests[0].features[0].type","TEXT_DETECTION") # Send the following POST with the HTTP request body containing the above JSON. # POST https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY http = Chilkat::CkHttp.new() sb = Chilkat::CkStringBuilder.new() url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY" # resp is a CkHttpResponse resp = http.PostJson3(url,"application/json",json) if (http.get_LastMethodSuccess() != true) print http.lastErrorText() + "\n"; exit end print "status = " + resp.get_StatusCode().to_s() + "\n"; # A 200 response status indicate success. if (resp.get_StatusCode() != 200) print resp.bodyStr() + "\n"; print "Failed." + "\n"; exit end sbResponseBody = Chilkat::CkStringBuilder.new() resp.GetBodySb(sbResponseBody) sbResponseBody.WriteFile("qa_output/textDetectResponse.json","utf-8",false) json.LoadSb(sbResponseBody) # The response is a JSON document like this: # Use this online tool to generate parsing code from sample JSON: # Generate Parsing Code from JSON # { # "responses": [ # { # "textAnnotations": [ # { # "locale": "en", # "description": "Chilkat is a cross-language, cross-platform\nAPl providing 90+ classes for many Internet\nprotocols, formats, and algorithms.\n", # "boundingPoly": { # "vertices": [ # { # "x": 17, # "y": 14 # }, # ... # ] # } # ], # "text": "Chilkat is a cross-language, cross-platform\nAPl providing 90+ classes for many Internet\nprotocols, formats, and algorithms.\n" # } # } # ] # } # The parsing code generated from the online tool: i = 0 count_i = json.SizeOfArray("responses") while i < count_i json.put_I(i) fullTextAnnotationText = json.stringOf("responses[i].fullTextAnnotation.text") j = 0 count_j = json.SizeOfArray("responses[i].textAnnotations") while j < count_j json.put_J(j) locale = json.stringOf("responses[i].textAnnotations[j].locale") description = json.stringOf("responses[i].textAnnotations[j].description") k = 0 count_k = json.SizeOfArray("responses[i].textAnnotations[j].boundingPoly.vertices") while k < count_k json.put_K(k) x = json.IntOf("responses[i].textAnnotations[j].boundingPoly.vertices[k].x") y = json.IntOf("responses[i].textAnnotations[j].boundingPoly.vertices[k].y") k = k + 1 end j = j + 1 end j = 0 count_j = json.SizeOfArray("responses[i].fullTextAnnotation.pages") while j < count_j json.put_J(j) width = json.IntOf("responses[i].fullTextAnnotation.pages[j].width") height = json.IntOf("responses[i].fullTextAnnotation.pages[j].height") k = 0 count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages") while k < count_k json.put_K(k) languageCode = json.stringOf("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages[k].languageCode") k = k + 1 end k = 0 count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].blocks") while k < count_k json.put_K(k) blockType = json.stringOf("responses[i].fullTextAnnotation.pages[j].blocks[k].blockType") # json1 is a CkJsonObject json1 = json.ObjectOf("responses[i].fullTextAnnotation.pages[j].blocks[k]") i1 = 0 count_i1 = json1.SizeOfArray("property.detectedLanguages") while i1 < count_i1 json1.put_I(i1) languageCode = json1.stringOf("property.detectedLanguages[i].languageCode") i1 = i1 + 1 end # json1 is a CkJsonObject json1 = json.ObjectOf("responses[i].fullTextAnnotation.pages[j].blocks[k]") i1 = 0 count_i1 = json1.SizeOfArray("boundingBox.vertices") while i1 < count_i1 json1.put_I(i1) x = json1.IntOf("boundingBox.vertices[i].x") y = json1.IntOf("boundingBox.vertices[i].y") i1 = i1 + 1 end # json1 is a CkJsonObject json1 = json.ObjectOf("responses[i].fullTextAnnotation.pages[j].blocks[k]") i1 = 0 count_i1 = json1.SizeOfArray("paragraphs") while i1 < count_i1 json1.put_I(i1) j1 = 0 count_j1 = json1.SizeOfArray("paragraphs[i].property.detectedLanguages") while j1 < count_j1 json1.put_J(j1) languageCode = json1.stringOf("paragraphs[i].property.detectedLanguages[j].languageCode") j1 = j1 + 1 end j1 = 0 count_j1 = json1.SizeOfArray("paragraphs[i].boundingBox.vertices") while j1 < count_j1 json1.put_J(j1) x = json1.IntOf("paragraphs[i].boundingBox.vertices[j].x") y = json1.IntOf("paragraphs[i].boundingBox.vertices[j].y") j1 = j1 + 1 end j1 = 0 count_j1 = json1.SizeOfArray("paragraphs[i].words") while j1 < count_j1 json1.put_J(j1) k1 = 0 count_k1 = json1.SizeOfArray("paragraphs[i].words[j].property.detectedLanguages") while k1 < count_k1 json1.put_K(k1) languageCode = json1.stringOf("paragraphs[i].words[j].property.detectedLanguages[k].languageCode") k1 = k1 + 1 end k1 = 0 count_k1 = json1.SizeOfArray("paragraphs[i].words[j].boundingBox.vertices") while k1 < count_k1 json1.put_K(k1) x = json1.IntOf("paragraphs[i].words[j].boundingBox.vertices[k].x") y = json1.IntOf("paragraphs[i].words[j].boundingBox.vertices[k].y") k1 = k1 + 1 end k1 = 0 count_k1 = json1.SizeOfArray("paragraphs[i].words[j].symbols") while k1 < count_k1 json1.put_K(k1) text = json1.stringOf("paragraphs[i].words[j].symbols[k].text") propertyDetectedBreakType = json1.stringOf("paragraphs[i].words[j].symbols[k].property.detectedBreak.type") # json2 is a CkJsonObject json2 = json1.ObjectOf("paragraphs[i].words[j].symbols[k]") i2 = 0 count_i2 = json2.SizeOfArray("property.detectedLanguages") while i2 < count_i2 json2.put_I(i2) languageCode = json2.stringOf("property.detectedLanguages[i].languageCode") i2 = i2 + 1 end # json2 is a CkJsonObject json2 = json1.ObjectOf("paragraphs[i].words[j].symbols[k]") i2 = 0 count_i2 = json2.SizeOfArray("boundingBox.vertices") while i2 < count_i2 json2.put_I(i2) x = json2.IntOf("boundingBox.vertices[i].x") y = json2.IntOf("boundingBox.vertices[i].y") i2 = i2 + 1 end k1 = k1 + 1 end j1 = j1 + 1 end i1 = i1 + 1 end k = k + 1 end j = j + 1 end i = i + 1 end print "Success." + "\n"; |
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