NbtKmy

#!/usr/bin/env python3
import urllib.request
import json
import sys
from PIL import Image
import requests
from io import BytesIO
import cv2
import numpy as np
import img2pdf

NbtKmy

#!/usr/bin/env python3
import os
from PIL import Image

if __name__ == "__main__":
    
    im_list = []
    for i in os.listdir('./img'):
        filename = './img/' + i
        imgs = Image.open(filename)

NbtKmy

#!/usr/bin/env python3
import cv2
import argparse

if __name__ == "__main__":

    parser = argparse.ArgumentParser(description='Pre-process for OCR')
    parser.add_argument('input', help='Name of original image')
    parser.add_argument('output', help='Name of output image')
    args = parser.parse_args() 

NbtKmy

#!/usr/bin/env python3
import urllib.request
import json
import sys
from PIL import Image
import requests
from io import BytesIO
import argparse

NbtKmy

{
	"@context": "http://iiif.io/api/presentation/2/context.json",
	"@id": "http://91d111ec-49ff-40c5-bd1e-fd3bdecee82d",
	"@type": "sc:Manifest",
	"label": "my favorit things",
	"metadata": [],
	"description": [
		{
			"@value": "... my favorit images",
			"@language": "en"

NbtKmy

{
	"@context": "http://iiif.io/api/presentation/2/context.json",
	"@id": "http://91d111ec-49ff-40c5-bd1e-fd3bdecee82d",
	"@type": "sc:Manifest",
	"label": "my favorit things",
	"metadata": [],
	"description": [
		{
			"@value": "... my favorit images",
			"@language": "en"

NbtKmy

import pandas as pd
import requests

df = pd.read_csv('snf_person.csv', sep=',')

df['viaf'] = 'NaN'
df['orcid_gnd'] = 'NaN'
df['gnd'] = 'NaN'
df['ambiguity'] = 0

NbtKmy

{
	"@context": "http://iiif.io/api/presentation/2/context.json",
	"@id": "http://93198e01-31fa-4953-a809-7cce9c2aa606",
	"@type": "sc:Manifest",
	"label": "test",
	"metadata": [],
	"description": [
		{
			"@value": "test",
			"@language": "en"

NbtKmy

function getBibliografy() {

//最後のスライドを取得し、そのテキストボックスも取得
var presentationID = "your presentation-id";
var presentation = SlidesApp.openById(presentationID);
var slide = presentation.getSlides()[x]; //スライドx枚目
var shape = slide.getShapes();
var textBox = shape[0]; // 1番目のShape
var textRange = textBox.getText();
textRange.clear();

NbtKmy

import json

def main():
  f = open("/path/to/your.geojson", 'r')
  json_data = json.load(f)

  for i in range(len(json_data["features"])):

    lat2 = json_data["features"][i]["properties"]["lat2"]
    lon2 = json_data["features"][i]["properties"]["lon2"]