def image():
import click1
img_nam = click1.click2()
destination = "C://Users//Shilpa Bundela//Desktop//ocr//Rachit_GoogleApi_Project//src//" + img_nam
print(destination)
l = ocr.detect_text(destination)
print(l[0])
for i in l:
print(i)
trans = translate.translate_text(l[0])
return render_template("complete.html", output=l[0], op=trans)
def multiple_tests(setNum,
start,
end,
ocr="google",
requestMethod="multithread",
searcher="standard"):
for i in range(start, end + 1):
print "***********************************"
start = time.time()
filename = 'questions/Set-' + str(setNum) + '/Q' + str(i) + '.png'
result = detect_text(filename, ocr)
print process(result, requestMethod, searcher)
print "Total time: " + str(time.time() - start)
def upload():
target = os.path.join(APP_ROOT, 'images/')
print("target = ", target)
if not os.path.isdir(target):
os.mkdir(target)
for file in request.files.getlist("file"):
print("file = ", file)
filename = file.filename
destination = "/".join([target, filename])
print("destination = ", destination)
file.save(destination)
l = ocr.detect_text(destination)
print(str(l))
trans = translate.translate_text(
"HOW TO WRITE ALT TEXT AND IMAGE DESCRIPTIONS FOR THE VISUALLY IMPAIRED"
)
return render_template("complete.html", output=l, op=trans)
from ocr import detect_text
ad = detect_text("t1.jpg")
ad.split("\n")
import requests
import sys
import content_classification
import ocr
import opencv
if __name__ == "__main__":
img_data = requests.get(sys.argv[1]).content
with open('/var/www/html/images/image.jpg', 'wb') as handler:
handler.write(img_data)
ocr_image = ocr.analyze_image(
opencv.do_things("/var/www/html/images/image.jpg"))
print(
content_classification.classify(
ocr.detect_text(ocr.analyze_image(ocr_image))))
print(ocr.calculate_total(ocr.analyze_image(ocr_image)))
def single_test(filename,
ocr="google",
requestMethod="multithread",
searcher="standard"):
result = detect_text(filename, ocr)
print process(result, requestMethod, searcher)