Chilkat2-Python
Chilkat2-Python
Google Cloud Vision Text Detection
See more HTTP Misc Examples
Demonstrates 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-textChilkat Chilkat2-Python Downloads
import sys
import chilkat2
success = False
# 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 = chilkat2.BinData()
# This image file contains some text...
success = imageData.LoadFile("qa_data/jpg/text.jpg")
if (success != True):
print("Failed to load image file.")
sys.exit()
# Create the above JSON.
json = chilkat2.JsonObject()
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 = chilkat2.Http()
http.SessionLogFilename = "c:/aaworkarea/sessionLog.txt"
sb = chilkat2.StringBuilder()
url = "https://vision.googleapis.com/v1/images:annotate?key=YOUR_API_KEY"
resp = chilkat2.HttpResponse()
success = http.HttpJson("POST",url,json,"application/json",resp)
if (success == False):
print(http.LastErrorText)
sys.exit()
print("status = " + str(resp.StatusCode))
# A 200 response status indicate success.
if (resp.StatusCode != 200):
print(resp.BodyStr)
print("Failed.")
sys.exit()
sbResponseBody = chilkat2.StringBuilder()
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:
json1 = chilkat2.JsonObject()
json2 = chilkat2.JsonObject()
i = 0
count_i = json.SizeOfArray("responses")
while i < count_i :
json.I = i
fullTextAnnotationText = json.StringOf("responses[i].fullTextAnnotation.text")
j = 0
count_j = json.SizeOfArray("responses[i].textAnnotations")
while j < count_j :
json.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.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
j = j + 1
j = 0
count_j = json.SizeOfArray("responses[i].fullTextAnnotation.pages")
while j < count_j :
json.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.K = k
languageCode = json.StringOf("responses[i].fullTextAnnotation.pages[j].property.detectedLanguages[k].languageCode")
k = k + 1
k = 0
count_k = json.SizeOfArray("responses[i].fullTextAnnotation.pages[j].blocks")
while k < count_k :
json.K = k
blockType = json.StringOf("responses[i].fullTextAnnotation.pages[j].blocks[k].blockType")
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("property.detectedLanguages")
while i1 < count_i1 :
json1.I = i1
languageCode = json1.StringOf("property.detectedLanguages[i].languageCode")
i1 = i1 + 1
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("boundingBox.vertices")
while i1 < count_i1 :
json1.I = i1
x = json1.IntOf("boundingBox.vertices[i].x")
y = json1.IntOf("boundingBox.vertices[i].y")
i1 = i1 + 1
json.ObjectOf2("responses[i].fullTextAnnotation.pages[j].blocks[k]",json1)
i1 = 0
count_i1 = json1.SizeOfArray("paragraphs")
while i1 < count_i1 :
json1.I = i1
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].property.detectedLanguages")
while j1 < count_j1 :
json1.J = j1
languageCode = json1.StringOf("paragraphs[i].property.detectedLanguages[j].languageCode")
j1 = j1 + 1
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].boundingBox.vertices")
while j1 < count_j1 :
json1.J = j1
x = json1.IntOf("paragraphs[i].boundingBox.vertices[j].x")
y = json1.IntOf("paragraphs[i].boundingBox.vertices[j].y")
j1 = j1 + 1
j1 = 0
count_j1 = json1.SizeOfArray("paragraphs[i].words")
while j1 < count_j1 :
json1.J = j1
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].property.detectedLanguages")
while k1 < count_k1 :
json1.K = k1
languageCode = json1.StringOf("paragraphs[i].words[j].property.detectedLanguages[k].languageCode")
k1 = k1 + 1
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].boundingBox.vertices")
while k1 < count_k1 :
json1.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
k1 = 0
count_k1 = json1.SizeOfArray("paragraphs[i].words[j].symbols")
while k1 < count_k1 :
json1.K = k1
text = json1.StringOf("paragraphs[i].words[j].symbols[k].text")
propertyDetectedBreakType = json1.StringOf("paragraphs[i].words[j].symbols[k].property.detectedBreak.type")
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("property.detectedLanguages")
while i2 < count_i2 :
json2.I = i2
languageCode = json2.StringOf("property.detectedLanguages[i].languageCode")
i2 = i2 + 1
json1.ObjectOf2("paragraphs[i].words[j].symbols[k]",json2)
i2 = 0
count_i2 = json2.SizeOfArray("boundingBox.vertices")
while i2 < count_i2 :
json2.I = i2
x = json2.IntOf("boundingBox.vertices[i].x")
y = json2.IntOf("boundingBox.vertices[i].y")
i2 = i2 + 1
k1 = k1 + 1
j1 = j1 + 1
i1 = i1 + 1
k = k + 1
j = j + 1
i = i + 1
print("Success.")