編集履歴

質問編集履歴

文字修正

2018/09/13 07:30

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uriuri

スコア47

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@@ -332,7 +332,7 @@
 Traceback (most recent call last):
-  File "test.py", line 35, in <module>
+  File "kamera.py", line 35, in <module>
     height, width, channels = c_frame.shape

エラーの追記

2018/09/13 07:30

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uriuri

スコア47

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@@ -330,6 +330,14 @@
 このようなエラーがでてしまいます
+Traceback (most recent call last):
+  File "test.py", line 35, in <module>
+    height, width, channels = c_frame.shape
 AttributeError: 'NoneType' object has no attribute 'shape'
 カメラが画像を読み込めていないことが原因だとおもうのですが、以前動いたものがうごかくなるということはどういったことなのでしょうか

添付ミス

2018/09/13 07:22

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uriuri

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@@ -2,7 +2,9 @@
+以前動いたプログラムを一部書き換え試しました
-以前動いたプログラムがエラーをはくようになってしまいました
+以前動いたプログラムもエラーをはくようになってしまいました
 ```python
@@ -38,25 +40,25 @@
-    ORG_WINDOW_NAME = "org"
+    ORG_WINDOW_NAME = "ORG"
-    DST_WINDOW_NAME = "syori"
+    DST_WINDOW_NAME = "DST"
-    FILE_NAME1 = "kagei0.avi"
+    FILE_NAME1 = "1.avi"
-    FILE_NAME2 = "kagei1.avi"
+    FILE_NAME2 = "2.avi"
-    FILE_NAME3 = "kagei2.avi"
+    FILE_NAME3 = "3.avi"
-    FILE_NAME4 = "kaghi3.avi"
+    FILE_NAME4 = "4.avi"
-    FILE_NAME5 = "kagei4.avi"
+    FILE_NAME5 = "5.avi"
-    DEVICE_ID = 0
+    DEVICE_ID = 1
@@ -138,253 +140,179 @@
     while end_flag == True:
-        gauss = cv2.GaussianBlur(c_frame,(11,11),0)#9,9
-        gray = cv2.cvtColor(c_frame,cv2.COLOR_BGR2GRAY)
-#
-        ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
-#
-        #th1 = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\
-                   #cv2.THRESH_BINARY,25,10)   #11,2
-#
-       # gauss = cv2.GaussianBlur(th1,(9,9),0)
-#
-        edges = cv2.Canny(th1,50,150)#(100,150)
-        img, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
-        for i in range(0, len(contours)):
-          cnt = contours[i]
-          M = cv2.moments(cnt)
-          #print(M)
-          area = cv2.contourArea(cnt)
-          print(area)
-          if 500 < area < 5000:
-          #  continue
-          #if len(contours[i]) > 0:
-          #rect = contours[i]
-          #x, y, w, h = cv2.boundingRect(rect)
-          #cv2.rectangle(img_src, (x, y), (x + w, y + h), (255, 0, 0), 2)
-            rect = cv2.minAreaRect(contours[i])
-            box = cv2.boxPoints(rect)
-            #print(box)
-            box = np.int0(box)
-            x1,x2,x3,x4 = np.int0(box)
-            a = np.array(x1)
-            b = np.array(x2)
-            c = np.array(x3)
-            d = np.array(x4)
-            #d = math.sqrt((x4-x1)** 2)
-            A = np.linalg.norm(a-b)
-            B = np.linalg.norm(a-c)
-            C = np.linalg.norm(a-d)
-            print("頂点",x1,x2,x3,x4)
-            print("Aの長さ", A)
-            print("Bの長さ",B)
-            print("Cの長さ",C)
-            if A < B:
-               min = A
-            else:
-               min = B
-            if C < min:
-               min = C
-            print("幅",min)
-            if 30 > min > 8:
-               im = cv2.drawContours(c_frame,[box],0,(0,255,0),2)
-        #for c in contours:
-            #epsilon = 0.01 * cv2.arcLength(c, True)
-            #approx = cv2.approxPolyDP(c, epsilon, True)
-            #cv2.drawContours(c_frame, approx, -1, (255, 255, 255), 3)
-            #for i, contour in enumerate(contours):
-                #area = cv2.contourArea(contour)
-                #if area < 1000: #30
-                    #continue
+       gauss = cv2.GaussianBlur(c_frame, (11, 11), 0)
+       gray = cv2.cvtColor(gauss, cv2.COLOR_BGR2GRAY)
+       ret,th1 = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
+       edges = cv2.Canny(th1, 50, 150)
+       img, contours, hierarchy = cv2.findContours(th1, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
+       for i in range(0, len(contours)):
+#for cnt in contours:
+         cnt = contours[i]
+         area = cv2.contourArea(cnt)
+         print(area)
+         if 500 < area < 5000:
+           rect = cv2.minAreaRect(cnt)
+           box = cv2.boxPoints(rect)
+           (cx, cy), (width, height), angle = rect
+           diag = np.linalg.norm([width, height])
+           print(width, height, diag)
+        # 161.91236877441406 16.144147872924805 162.715237986
+        # 長方形の幅、高さ、対角線の長さは cv2.minAreaRect() の返り値
+        # を見ればわかるので計算しなくてもよい。
+           #x1, x2, x3, x4 = box
+           #A = np.linalg.norm(x1 - x2)
+           #B = np.linalg.norm(x1 - x3)
+           #C = np.linalg.norm(x1 - x4)
+           #print("頂点",x1, x2, x3, x4)
+           #print("Aの長さ", A)  # Aの長さ 16.1441
+           #print("Bの長さ",B)  # Bの長さ 162.715
+           #print("Cの長さ",C)  # Cの長さ 161.912
+           A = width
+           B = height
+           C = diag
+           if A < B:
+             min = A
+           else:
+             min = B
+           if C < min:
+             min = C
+           print("最小", min)
+           if 5 < min < 25:
+            # drawContours() の contours 引数は int 型でないといけない。
+             cv2.drawContours(c_frame, [box.astype(int)], -1, (0, 255, 0), 2)
+       def within(line, rect):
+           p1, p2 = tuple(line[:2]), tuple(line[2:])
+    # 線の始点と終点が長方形内に含まれるかどうか
+           return cv2.pointPolygonTest(box, p1, False) >= 0 and \
+                  cv2.pointPolygonTest(box, p2, False) >= 0
+       LSD = cv2.createLineSegmentDetector()
+       lines, width, prec, nfa = LSD.detect(edges)
+       lines = np.squeeze(lines)
+       for line in lines:
+           p1, p2 = tuple(line[:2]), tuple(line[2:])
+           if within(line, rect):
+        # 長方形に含まれる場合は赤色で描画
+              cv2.line(c_frame, p1, p2, (0, 0, 255), 2)
+           else:
+        # 長方形に含まれない場合は赤色で描画
+              cv2.line(c_frame, p1, p2, (255, 0, 0), 2)
+       cv2.imshow(ORG_WINDOW_NAME, c_frame)
+       #cv2.imshow('res',gauss)
+       #cv2.imshow('4', disp_in_img)
+       #cv2.imshow('3', gray)
+       #cv2.imshow("1", th1)
+       #cv2.imshow("2", edges)
         #
-                #if image_size * 0.39 < area: #0.99
-                    #continue
-        #x,y,w,h = cv2.boundingRect(edges)
-        #print(x)
-        #print(y)
+        #rec.write(gray)
+       # rec2.write(c_frame)
+        #rec3.write(th1)
-        #print(x + w)
+        #rec4.write(edges)
-        #print(y + h)
+        #rec5.write(gauss)
-        #c_frame = cv2.rectangle(c_frame, (x, y), (x + w, y + h), (0, 255, 0), 3)
-        LSD = cv2.createLineSegmentDetector()
-#
-        lines, width, prec, nfa = LSD.detect(edges)
-#
-        color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
-        if lines is not None:
-          for i in range(len(lines)):
-            for x1,y1,x2,y2 in lines[i] :
-                 cv2.line(color,(x1,y1),(x2,y2),(0,0,255),2)
-#
-        disp_in_img  = cv2.cvtColor(color,  cv2.COLOR_BGR2RGB)
         #
-        cv2.imshow(ORG_WINDOW_NAME, c_frame)
-        cv2.imshow('res',gauss)
-        cv2.imshow('4', disp_in_img)
-        cv2.imshow('3', gray)
-        cv2.imshow("1", th1)
+       key = cv2.waitKey(INTERVAL)
-        cv2.imshow("2", edges)
+       if key == ESC_KEY:
+            break
         #
-        #rec.write(gray)
-        rec2.write(c_frame)
-        #rec3.write(th1)
-        #rec4.write(edges)
-        #rec5.write(gauss)
-        #
-        key = cv2.waitKey(INTERVAL)
-        if key == ESC_KEY:
-            break
-        #
-        end_flag, c_frame = cap.read()
+       end_flag, c_frame = cap.read()