質問編集履歴
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プログラム削除
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```python
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#人の全身、顔、上半身、下半身を検出し、矩形を描くプログラム
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import cv2
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import threading
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import PySimpleGUI as sg
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import os
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#GUIのデザインテーマ設定
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sg.theme('DarkPurple4')
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#GUIのレイアウト設定
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layout = [[sg.Button('終了', key = 'end')]]
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#GUI生成
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window = sg.Window('プログラム終了ボタン', layout)
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#分類器のフォルダパス(顔、上半身、下半身はhaar-like特徴で検出)
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face_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_frontalface_alt2.xml'
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upperbody_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_upperbody.xml'
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lowerbody_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_lowerbody.xml'
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#全身のみHOG特徴で検出
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global hog
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hog = cv2.HOGDescriptor()
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hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
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face_cascade = cv2.CascadeClassifier(face_cascade_path)
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upperbody_cascade = cv2.CascadeClassifier(upperbody_cascade_path)
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lowerbody_cascade = cv2.CascadeClassifier(lowerbody_cascade_path)
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#顔検出用スレッド
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def face_rectangle(img, img_gray, faces):
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for x, y, w, h in faces:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 0, 255), 2)
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face = img[y:y+h, x:x+w]
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face_gray = img_gray[y:y+h, x:x+w]
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#全身検出用スレッド
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def fullbody_rectangle(img, fullbodys):
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for x, y, w, h in fullbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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#上半身検出用スレッド
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def upperbody_rectangle(img, img_gray, upperbodys):
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for x, y, w, h in upperbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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upperbody = img[y:y+h, x:x+w]
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upperbody_gray = img_gray[y:y+h, x:x+w]
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#下半身検出用スレッド
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def lowerbody_rectangle(img, img_gray, lowerbodys):
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for x, y, w, h in lowerbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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lowerbody = img[y:y+h, x:x+w]
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lowerbody_gray = img_gray[y:y+h, x:x+w]
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#カメラキャプチャON
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cap = cv2.VideoCapture(0)
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if __name__ == '__main__':
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while(cap.isOpened()):
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#画像の設定
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ret, frame = cap.read()
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frame = cv2.resize(frame, (320, 240))
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frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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frame_gray = cv2.resize(frame_gray, (320, 240))
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#検出パラメータ設定
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faces = face_cascade.detectMultiScale(frame_gray, 1.11, 3)
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fullbodys, features = hog.detectMultiScale(frame, winStride = (8, 8), padding = (32, 32), scale = 1.05)
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upperbodys = upperbody_cascade.detectMultiScale(frame_gray, 1.05, 2)
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lowerbodys = lowerbody_cascade.detectMultiScale(frame_gray, 1.05, 2)
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#検出&矩形描画スレッド起動（マルチスレッド）
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t1 = threading.Thread(target = face_rectangle, args = (frame, frame_gray, faces))
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t2 = threading.Thread(target = fullbody_rectangle, args = (frame, fullbodys))
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t3 = threading.Thread(target = upperbody_rectangle, args = (frame, frame_gray, upperbodys))
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t4 = threading.Thread(target = lowerbody_rectangle, args = (frame, frame_gray, lowerbodys))
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t1.start()
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t2.start()
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t3.start()
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t4.start()
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#画像の表示
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cv2.imshow('detect', frame)
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#終了ボタンGUI読み込み
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event, values = window.read()
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#☓ボタンを押しても終了
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if event == sg.WIN_CLOSED:
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break
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#GUIの処理
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if event == 'end':
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break
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window.close()
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cap.release()
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cv2.destroyAllWindows()
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```
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質問内容が消えていたので再掲示
test
CHANGED
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File without changes
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test
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opencvでwebカメラからキャプチャした画像を表示、
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プログラムの終了(画像ウインドウの破棄)は
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pysimpleguiで作成した終了ボタンで行いたい。
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```
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guiは出力されるが、画像が出力されない。
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※プログラムを実行するとカメラはONになる
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※gui機能追加前は画像出力されていた。
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```
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```
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```python
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#人の全身、顔、上半身、下半身を検出し、矩形を描くプログラム
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import cv2
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import threading
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import PySimpleGUI as sg
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import os
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#GUIのデザインテーマ設定
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sg.theme('DarkPurple4')
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#GUIのレイアウト設定
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layout = [[sg.Button('終了', key = 'end')]]
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#GUI生成
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window = sg.Window('プログラム終了ボタン', layout)
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#分類器のフォルダパス(顔、上半身、下半身はhaar-like特徴で検出)
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face_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_frontalface_alt2.xml'
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upperbody_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_upperbody.xml'
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lowerbody_cascade_path = '/usr/local/lib/python3.7/dist-packages/cv2/data/haarcascade_lowerbody.xml'
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#全身のみHOG特徴で検出
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global hog
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hog = cv2.HOGDescriptor()
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hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
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face_cascade = cv2.CascadeClassifier(face_cascade_path)
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upperbody_cascade = cv2.CascadeClassifier(upperbody_cascade_path)
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lowerbody_cascade = cv2.CascadeClassifier(lowerbody_cascade_path)
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#顔検出用スレッド
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def face_rectangle(img, img_gray, faces):
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for x, y, w, h in faces:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 0, 255), 2)
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face = img[y:y+h, x:x+w]
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face_gray = img_gray[y:y+h, x:x+w]
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#全身検出用スレッド
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def fullbody_rectangle(img, fullbodys):
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for x, y, w, h in fullbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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#上半身検出用スレッド
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def upperbody_rectangle(img, img_gray, upperbodys):
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for x, y, w, h in upperbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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upperbody = img[y:y+h, x:x+w]
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upperbody_gray = img_gray[y:y+h, x:x+w]
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#下半身検出用スレッド
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def lowerbody_rectangle(img, img_gray, lowerbodys):
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for x, y, w, h in lowerbodys:
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cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 0), 2)
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lowerbody = img[y:y+h, x:x+w]
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lowerbody_gray = img_gray[y:y+h, x:x+w]
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#カメラキャプチャON
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cap = cv2.VideoCapture(0)
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if __name__ == '__main__':
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while(cap.isOpened()):
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#画像の設定
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ret, frame = cap.read()
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frame = cv2.resize(frame, (320, 240))
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+
frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
|
|
164
|
+
|
|
165
|
+
frame_gray = cv2.resize(frame_gray, (320, 240))
|
|
166
|
+
|
|
167
|
+
|
|
168
|
+
|
|
169
|
+
#検出パラメータ設定
|
|
170
|
+
|
|
171
|
+
faces = face_cascade.detectMultiScale(frame_gray, 1.11, 3)
|
|
172
|
+
|
|
173
|
+
fullbodys, features = hog.detectMultiScale(frame, winStride = (8, 8), padding = (32, 32), scale = 1.05)
|
|
174
|
+
|
|
175
|
+
upperbodys = upperbody_cascade.detectMultiScale(frame_gray, 1.05, 2)
|
|
176
|
+
|
|
177
|
+
lowerbodys = lowerbody_cascade.detectMultiScale(frame_gray, 1.05, 2)
|
|
178
|
+
|
|
179
|
+
|
|
180
|
+
|
|
181
|
+
#検出&矩形描画スレッド起動（マルチスレッド）
|
|
182
|
+
|
|
183
|
+
t1 = threading.Thread(target = face_rectangle, args = (frame, frame_gray, faces))
|
|
184
|
+
|
|
185
|
+
t2 = threading.Thread(target = fullbody_rectangle, args = (frame, fullbodys))
|
|
186
|
+
|
|
187
|
+
t3 = threading.Thread(target = upperbody_rectangle, args = (frame, frame_gray, upperbodys))
|
|
188
|
+
|
|
189
|
+
t4 = threading.Thread(target = lowerbody_rectangle, args = (frame, frame_gray, lowerbodys))
|
|
190
|
+
|
|
191
|
+
t1.start()
|
|
192
|
+
|
|
193
|
+
t2.start()
|
|
194
|
+
|
|
195
|
+
t3.start()
|
|
196
|
+
|
|
197
|
+
t4.start()
|
|
198
|
+
|
|
199
|
+
|
|
200
|
+
|
|
201
|
+
#画像の表示
|
|
202
|
+
|
|
203
|
+
cv2.imshow('detect', frame)
|
|
204
|
+
|
|
205
|
+
|
|
206
|
+
|
|
207
|
+
#終了ボタンGUI読み込み
|
|
208
|
+
|
|
209
|
+
event, values = window.read()
|
|
210
|
+
|
|
211
|
+
#☓ボタンを押しても終了
|
|
212
|
+
|
|
213
|
+
if event == sg.WIN_CLOSED:
|
|
214
|
+
|
|
215
|
+
break
|
|
216
|
+
|
|
217
|
+
|
|
218
|
+
|
|
219
|
+
#GUIの処理
|
|
220
|
+
|
|
221
|
+
if event == 'end':
|
|
222
|
+
|
|
223
|
+
break
|
|
224
|
+
|
|
225
|
+
|
|
226
|
+
|
|
227
|
+
window.close()
|
|
228
|
+
|
|
229
|
+
cap.release()
|
|
230
|
+
|
|
231
|
+
cv2.destroyAllWindows()
|
|
28
232
|
|
|
29
233
|
```
|
|
30
234
|
|
|
@@ -42,4 +246,8 @@
|
|
|
42
246
|
|
|
43
247
|
|
|
44
248
|
|
|
249
|
+
環境：raspberrypi4
|
|
250
|
+
|
|
251
|
+
言語：python3.7
|
|
252
|
+
|
|
45
|
-
|
|
253
|
+
画像処理ライブラリ：opencv4.5.1
|