DataSolveProblems

import os
from Google import Create_Service
import pandas as pd

working_dir = r'<>'
output_dir = os.path.join(working_dir, 'Output')

CLIENT_SECRET_FILE = r"client_secret.json"
API_SERVICE_NAME = 'drive'
API_VERSION = 'v3'

DataSolveProblems

import io, os
from google.cloud import vision

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r"GoogleCloudDemo_ServiceAcct_Token.json"
client = vision.ImageAnnotatorClient()

file_name = 'cat.jpg'
image_path = os.path.join('.\images', file_name)

with io.open(image_path, 'rb') as image_file:

DataSolveProblems

import io, os
from numpy import random
from google.cloud import vision
from Pillow_Utility import draw_borders, Image
import pandas as pd

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r"GoogleCloudDemo_ServiceAcct_Token.json"
client = vision.ImageAnnotatorClient()

file_name = 'ikea3.jpg'

DataSolveProblems

from PIL import Image, ImageDraw, Image, ImageFont

"""
To install the Pillow library
    pip install Pillow
"""
def draw_borders(pillow_image, bounding, color, image_size, caption='', confidence_score=0):

    width, height = image_size
    draw = ImageDraw.Draw(pillow_image)

DataSolveProblems

import os, io
from draw_vertice import drawVertices
from google.cloud import vision
import pandas as pd

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'ServiceAccountToken.json'
client = vision.ImageAnnotatorClient()

file_name = 'test.jpg'
image_folder = './images/'

DataSolveProblems

import io
from PIL import Image, ImageDraw, ImageFont

def drawVertices(image_source, vertices, display_text=''):
    pillow_img = Image.open(io.BytesIO(image_source))

    draw = ImageDraw.Draw(pillow_img)
    for i in range(len(vertices) - 1):
        draw.line(((vertices[i].x, vertices[i].y), (vertices[i + 1].x, vertices[i + 1].y)),
                fill='green',

DataSolveProblems

import os
import io
from google.cloud import vision
import pandas as pd

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r"GoogleCloudDemo.json"

client = vision.ImageAnnotatorClient()

file_name = 'Chicago.jpg'

DataSolveProblems

import os
import io
from google.cloud import vision_v1
import pandas as pd

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r'ServiceAccountToken.json'
client = vision_v1.ImageAnnotatorClient()

def detect_landmark(file_path):
    try:

DataSolveProblems

import os, sys
import argparse

"""
Images uploaded with APIPrice per unit
First 500 images per monthfree

Next 9 500 image compressions $0.009 per image

After 10 000 image compressions$0.002 per image

DataSolveProblems

Sub PrintActiveSheet()
    
    Dim ws As Worksheet: Set ws = ThisWorkbook.ActiveSheet

    With ws.PageSetup
        .Orientation = xlLandscape
        .Zoom = False
        .FitToPagesTall = 1
        .FitToPagesWide = 1
        .PrintArea = "B1:R41"