質問編集履歴

誤字

2021/10/23 04:05

投稿

YYYuto

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@@ -1,6 +1,6 @@
 ### 前提・実現したいこと
-x写真をOCRして読み取った文字からカレンダーに予定を追加するというアプリを作っています。
+写真をOCRして読み取った文字からカレンダーに予定を追加するというアプリを作っています。
 しかし、カレンダーに予定を追加する関数が動いてくれません。

初心者アイコン

2021/10/23 04:05

投稿

YYYuto

スコア0

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@@ -1,6 +1,6 @@
 ### 前提・実現したいこと
-写真をOCRして読み取った文字からカレンダーに予定を追加するというアプリを作っています。
+x写真をOCRして読み取った文字からカレンダーに予定を追加するというアプリを作っています。
 しかし、カレンダーに予定を追加する関数が動いてくれません。
@@ -14,386 +14,386 @@
+```x
+127.0.0.1 - - [23/Oct/2021 12:27:46] "POST /post_img_test HTTP/1.1" 500 -
+Traceback (most recent call last):
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2088, in __call__
+    return self.wsgi_app(environ, start_response)
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2073, in wsgi_app
+    response = self.handle_exception(e)
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2070, in wsgi_app
+    response = self.full_dispatch_request()
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1515, in full_dispatch_request
+    rv = self.handle_user_exception(e)
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1513, in full_dispatch_request
+    rv = self.dispatch_request()
+  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1499, in dispatch_request
+    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
+  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 76, in index
+    googlecalenderattach(txt)
+  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 128, in googlecalenderattach
+    creds = pickle.load(token)
+EOFError: Ran out of input
 ```
-127.0.0.1 - - [23/Oct/2021 12:27:46] "POST /post_img_test HTTP/1.1" 500 -
-Traceback (most recent call last):
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2088, in __call__
-    return self.wsgi_app(environ, start_response)
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2073, in wsgi_app
-    response = self.handle_exception(e)
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 2070, in wsgi_app
-    response = self.full_dispatch_request()
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1515, in full_dispatch_request
-    rv = self.handle_user_exception(e)
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1513, in full_dispatch_request
-    rv = self.dispatch_request()
-  File "/Users/yuto_shinohara/.pyenv/versions/3.8.6/lib/python3.8/site-packages/flask/app.py", line 1499, in dispatch_request
-    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
-  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 76, in index
-    googlecalenderattach(txt)
-  File "/Users/yuto_shinohara/Documents/python/textdata/camender/server.py", line 128, in googlecalenderattach
-    creds = pickle.load(token)
-EOFError: Ran out of input
+### 該当のソースコード
+```python
+from __future__ import print_function
+from flask import Flask, jsonify, request
+from PIL import Image
+import json
+import base64
+from io import BytesIO
+import matplotlib.pyplot as plt
+import copy
+import numpy as np
+import cv2
+import pyocr
+import pyocr.builders
+import datetime
+import os.path
+from googleapiclient.discovery import build
+from google_auth_oauthlib.flow import InstalledAppFlow
+from google.auth.transport.requests import Request
+from google.oauth2.credentials import Credentials
+import pickle
+tools = pyocr.get_available_tools()
+if len(tools) == 0:
+    print("No OCR tool found")
+    sys.exit(1)
+tool = tools[0]
+print("Will use tool '%s'" % (tool.get_name()))
+langs = tool.get_available_languages()
+print("Available languages: %s" % ", ".join(langs))
+app = Flask(__name__)
+SCOPES = ['https://www.googleapis.com/auth/calendar']
+@app.route("/post_img_test", methods=["GET", "POST"])
+def index():
+    # json_data = request.get_json() # POSTされたjsonを取得
+    # dict_data = json.loads(json_data) # jsonを辞書に変換
+    img_stream = base64.b64decode(request.form["img"])
+    cols = int(request.form["COLS"])
+    rows = int(request.form["ROWS"])
+    img_array = np.asarray(bytearray(img_stream),dtype=np.uint8)
+    img = cv2.imdecode(img_array,1)
+    h,w,c = img.shape
+    print(h,w,c)
+    img2 = copy.deepcopy(img)
+    directions = ["UL","UR","LL","LR"]
+    positions = []
+    for dire in directions:
+        pos = request.form[dire].split(",")#場所取得
+        print(pos)
+        positions.append([int(float(pos[0]))+w//2, h//2-int(float(pos[1]))])
+        cv2.circle(img,positions[-1],10,(255,255,255),thickness=-1)#場所チェック
+    cv2.imwrite('result_checking.png',img)
+    #射影変換後のサイズ
+    after_w = max(positions,key=lambda x:x[0])[0]-min(positions,key=lambda x:x[0])[0]
+    after_h = max(positions,key=lambda x:x[1])[1]-min(positions,key=lambda x:x[1])[1]
+    #射影変換
+    pts=np.float32([[0,0],[after_w,0],[0,after_h],[after_w,after_h]])
+    M = cv2.getPerspectiveTransform(np.float32(positions),pts)
+    dst = cv2.warpPerspective(img2,M,(after_w,after_h))
+    #射影変換を保存
+    cv2.imwrite('result.png',dst)
+    imgs = chuncks(dst,rows,cols)
+    for i in range(len(imgs)):
+        imgs[i] = noizclear(imgs[i])
+        global txt
+        txt = tool.image_to_string(cv2pil(imgs[i]),lang='jpn',builder=pyocr.builders.TextBuilder(tesseract_layout=6))
+        googlecalenderattach(txt)
+    return 'ok'
+#画像のノイズを消す。
+def noizclear(img):
+    resize_to = (img.shape[0]*10,img.shape[1]*10)      # Rescale the image more than 300 dpi
+    block_size = 147           # Block size for adaptive thresholding. This should be positive and odd value more than 1.
+    C = 31                     # The constant to subtract from mean or weighted mean
+    threshold = 140            # The threshold for simple thresholding
+    open_ksize = (5, 5)        # The kernel size to remove white patch in black region
+    close_ksize = (3, 3)       # The kernel size to remove black patch in white region
+    blur_ksize = (5, 5)        # The Gaussian kernel size to set blur. This should be positive and odd value
+    #img = cv2.imread('result.png')
+    img_generated = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    img_resized = cv2.resize(img_generated, resize_to, interpolation = cv2.INTER_LINEAR)
+    img_adaptive = cv2.adaptiveThreshold(img_resized, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, block_size, C)
+    img_morph_open = cv2.morphologyEx(img_adaptive, cv2.MORPH_OPEN, np.ones(open_ksize, np.uint8))
+    img_morph_close = cv2.morphologyEx(img_morph_open, cv2.MORPH_CLOSE, np.ones(close_ksize, np.uint8))
+    result, img_OTSU = cv2.threshold(img_resized, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+    img_blur = cv2.GaussianBlur(img_OTSU, blur_ksize, cv2.BORDER_CONSTANT)
+    result, img_OTSU2 = cv2.threshold(img_blur, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
+    img_bitwise = cv2.bitwise_or(img_OTSU2, img_morph_close)
+    return img_bitwise
+#画像を切り分ける。
+def chuncks(dst,rows,cols):
+    chunk_lst = []
+    for row_img in np.array_split(dst,rows,axis=0):
+        for chunk in np.array_split(row_img,cols,axis=1):
+            chunk_lst.append(chunk)
+            print(len(chunk_lst))
+    return chunk_lst
+def cv2pil(image):
+    ''' OpenCV型 -> PIL型 '''
+    new_image = image.copy()
+    if new_image.ndim == 2:  # モノクロ
+        pass
+    elif new_image.shape[2] == 3:  # カラー
+        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGR2RGB)
+    elif new_image.shape[2] == 4:  # 透過
+        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGRA2RGBA)
+    new_image = Image.fromarray(new_image)
+    return new_image
+    return jsonify(response)
+#googleカレンダーに追加
+def googlecalenderattach(txt):
+    creds = None
+    # The file token.pickle stores the user's access and refresh tokens, and is
+    # created automatically when the authorization flow completes for the first
+    # time.
+    if os.path.exists('token.pickle'):
+        with open('token.pickle', 'rb') as token:
+            creds = pickle.load(token)
+    # If there are no (valid) credentials available, let the user log in.
+    if not creds or not creds.valid:
+        if creds and creds.expired and creds.refresh_token:
+            creds.refresh(Request())
+        else:
+            flow = InstalledAppFlow.from_client_secrets_file(
+                'credentials.json', SCOPES)
+            creds = flow.run_local_server(port=0)
+        # Save the credentials for the next run
+        with open('token.pickle', 'wb') as token:
+            pickle.dump(creds, token)
+    service = build('calendar', 'v3', credentials=creds)
+    event = {
+      'summary': 'a',
+      'start': {
+        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
+        'timeZone': 'Japan',
+      },
+      'end': {
+        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
+        'timeZone': 'Japan',
+      },
+    }
+    event = service.events().insert(calendarId='自分のカレンダーIDを入力',body=event).execute()
+    print (event['id'])
+if __name__ == "__main__":
+    app.debug = True
+    app.run(host='127.0.0.1',port=5000)
 ```
-### 該当のソースコード
-```python
-from __future__ import print_function
-from flask import Flask, jsonify, request
-from PIL import Image
-import json
-import base64
-from io import BytesIO
-import matplotlib.pyplot as plt
-import copy
-import numpy as np
-import cv2
-import pyocr
-import pyocr.builders
-import datetime
-import os.path
-from googleapiclient.discovery import build
-from google_auth_oauthlib.flow import InstalledAppFlow
-from google.auth.transport.requests import Request
-from google.oauth2.credentials import Credentials
-import pickle
-tools = pyocr.get_available_tools()
-if len(tools) == 0:
-    print("No OCR tool found")
-    sys.exit(1)
-tool = tools[0]
-print("Will use tool '%s'" % (tool.get_name()))
-langs = tool.get_available_languages()
-print("Available languages: %s" % ", ".join(langs))
-app = Flask(__name__)
-SCOPES = ['https://www.googleapis.com/auth/calendar']
-@app.route("/post_img_test", methods=["GET", "POST"])
-def index():
-    # json_data = request.get_json() # POSTされたjsonを取得
-    # dict_data = json.loads(json_data) # jsonを辞書に変換
-    img_stream = base64.b64decode(request.form["img"])
-    cols = int(request.form["COLS"])
-    rows = int(request.form["ROWS"])
-    img_array = np.asarray(bytearray(img_stream),dtype=np.uint8)
-    img = cv2.imdecode(img_array,1)
-    h,w,c = img.shape
-    print(h,w,c)
-    img2 = copy.deepcopy(img)
-    directions = ["UL","UR","LL","LR"]
-    positions = []
-    for dire in directions:
-        pos = request.form[dire].split(",")#場所取得
-        print(pos)
-        positions.append([int(float(pos[0]))+w//2, h//2-int(float(pos[1]))])
-        cv2.circle(img,positions[-1],10,(255,255,255),thickness=-1)#場所チェック
-    cv2.imwrite('result_checking.png',img)
-    #射影変換後のサイズ
-    after_w = max(positions,key=lambda x:x[0])[0]-min(positions,key=lambda x:x[0])[0]
-    after_h = max(positions,key=lambda x:x[1])[1]-min(positions,key=lambda x:x[1])[1]
-    #射影変換
-    pts=np.float32([[0,0],[after_w,0],[0,after_h],[after_w,after_h]])
-    M = cv2.getPerspectiveTransform(np.float32(positions),pts)
-    dst = cv2.warpPerspective(img2,M,(after_w,after_h))
-    #射影変換を保存
-    cv2.imwrite('result.png',dst)
-    imgs = chuncks(dst,rows,cols)
-    for i in range(len(imgs)):
-        imgs[i] = noizclear(imgs[i])
-        global txt
-        txt = tool.image_to_string(cv2pil(imgs[i]),lang='jpn',builder=pyocr.builders.TextBuilder(tesseract_layout=6))
-        googlecalenderattach(txt)
-    return 'ok'
-#画像のノイズを消す。
-def noizclear(img):
-    resize_to = (img.shape[0]*10,img.shape[1]*10)      # Rescale the image more than 300 dpi
-    block_size = 147           # Block size for adaptive thresholding. This should be positive and odd value more than 1.
-    C = 31                     # The constant to subtract from mean or weighted mean
-    threshold = 140            # The threshold for simple thresholding
-    open_ksize = (5, 5)        # The kernel size to remove white patch in black region
-    close_ksize = (3, 3)       # The kernel size to remove black patch in white region
-    blur_ksize = (5, 5)        # The Gaussian kernel size to set blur. This should be positive and odd value
-    #img = cv2.imread('result.png')
-    img_generated = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-    img_resized = cv2.resize(img_generated, resize_to, interpolation = cv2.INTER_LINEAR)
-    img_adaptive = cv2.adaptiveThreshold(img_resized, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, block_size, C)
-    img_morph_open = cv2.morphologyEx(img_adaptive, cv2.MORPH_OPEN, np.ones(open_ksize, np.uint8))
-    img_morph_close = cv2.morphologyEx(img_morph_open, cv2.MORPH_CLOSE, np.ones(close_ksize, np.uint8))
-    result, img_OTSU = cv2.threshold(img_resized, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-    img_blur = cv2.GaussianBlur(img_OTSU, blur_ksize, cv2.BORDER_CONSTANT)
-    result, img_OTSU2 = cv2.threshold(img_blur, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-    img_bitwise = cv2.bitwise_or(img_OTSU2, img_morph_close)
-    return img_bitwise
-#画像を切り分ける。
-def chuncks(dst,rows,cols):
-    chunk_lst = []
-    for row_img in np.array_split(dst,rows,axis=0):
-        for chunk in np.array_split(row_img,cols,axis=1):
-            chunk_lst.append(chunk)
-            print(len(chunk_lst))
-    return chunk_lst
-def cv2pil(image):
-    ''' OpenCV型 -> PIL型 '''
-    new_image = image.copy()
-    if new_image.ndim == 2:  # モノクロ
-        pass
-    elif new_image.shape[2] == 3:  # カラー
-        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGR2RGB)
-    elif new_image.shape[2] == 4:  # 透過
-        new_image = cv2.cvtColor(new_image, cv2.COLOR_BGRA2RGBA)
-    new_image = Image.fromarray(new_image)
-    return new_image
-    return jsonify(response)
-#googleカレンダーに追加
-def googlecalenderattach(txt):
-    creds = None
-    # The file token.pickle stores the user's access and refresh tokens, and is
-    # created automatically when the authorization flow completes for the first
-    # time.
-    if os.path.exists('token.pickle'):
-        with open('token.pickle', 'rb') as token:
-            creds = pickle.load(token)
-    # If there are no (valid) credentials available, let the user log in.
-    if not creds or not creds.valid:
-        if creds and creds.expired and creds.refresh_token:
-            creds.refresh(Request())
-        else:
-            flow = InstalledAppFlow.from_client_secrets_file(
-                'credentials.json', SCOPES)
-            creds = flow.run_local_server(port=0)
-        # Save the credentials for the next run
-        with open('token.pickle', 'wb') as token:
-            pickle.dump(creds, token)
-    service = build('calendar', 'v3', credentials=creds)
-    event = {
-      'summary': 'a',
-      'start': {
-        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
-        'timeZone': 'Japan',
-      },
-      'end': {
-        'date': datetime.date(2021,11,30).strftime(r'%Y-%m-%d'),
-        'timeZone': 'Japan',
-      },
-    }
-    event = service.events().insert(calendarId='自分のカレンダーIDを入力',body=event).execute()
-    print (event['id'])
-if __name__ == "__main__":
-    app.debug = True
-    app.run(host='127.0.0.1',port=5000)
-```
 ### 試したこと
 調べたところ、解決できそうな情報は見つかりませんでした。

補足情報を追加

2021/10/23 04:03

投稿

YYYuto

スコア0

test CHANGED Viewed

	@@ -1 +1 @@
1	- pythonのpickle
1	+ pythonのpickleのEOFErrorで困っています。

test CHANGED Viewed

@@ -405,3 +405,5 @@
 python 3.8.6
 Google Calender Apiを使っています.
+https://developers.google.com/calendar/api/quickstart/python?hl=ja