編集履歴

質問編集履歴

誤字

2018/08/06 05:43

投稿

uriuri

スコア47

test CHANGED Viewed

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@@ -71,261 +71,3 @@
 のようにすることで大きな矩形や小さな矩形を取り除くことはできますか。
 ほかにいい方法があればアドバイスお願いします。
-実際に使ったプログラムを載せます。いろんなサイトを参考にして書いたのでぐちゃぐちゃかもしれませんがよろしくおねがいします。
-```ここに言語を入力
-#coding: Shift_Jis
-import cv2
-import math
-import numpy as np
-# cv2.cv.CV_FOURCC
-def cv_fourcc(c1, c2, c3, c4):
-    return (ord(c1) & 255) + ((ord(c2) & 255) << 8) + \
-        ((ord(c3) & 255) << 16) + ((ord(c4) & 255) << 24)
-if __name__ == '__main__':
-    #
-    ESC_KEY = 27     #
-    INTERVAL= 33     #  33
-    FRAME_RATE = 30  # fps
-    ORG_WINDOW_NAME = "org"
-    GAUSSIAN_WINDOW_NAME = "syori"
-    FILE_NAME = "1.avi"
-    FILE_NAME2 = "2.avi"
-    FILE_NAME3 = "3.avi"
-    FILE_NAME4 = "4.avi"
-    #FILE_NAME5 = "5.avi"
-    DEVICE_ID = 1
-    cap = cv2.VideoCapture(DEVICE_ID)
-    end_flag, c_frame = cap.read()
-    height, width, channels = c_frame.shape
-    image_size = height * width
-    rec = cv2.VideoWriter(FILE_NAME, \
-                          cv_fourcc('X', 'V', 'I', 'D'), \
-                          FRAME_RATE, \
-                          (width, height), \
-                          True)
-    rec2 = cv2.VideoWriter(FILE_NAME2, \
-                          cv_fourcc('X', 'V', 'I', 'D'), \
-                          FRAME_RATE, \
-                          (width, height), \
-                          True)
-    rec3 = cv2.VideoWriter(FILE_NAME3, \
-                          cv_fourcc('X', 'V', 'I', 'D'), \
-                          FRAME_RATE, \
-                          (width, height), \
-                          True)
-    rec4 = cv2.VideoWriter(FILE_NAME4, \
-                          cv_fourcc('X', 'V', 'I', 'D'), \
-                          FRAME_RATE, \
-                          (width, height), \
-                          True)
-    #rec5 = cv2.VideoWriter(FILE_NAME5, \
-                          #cv_fourcc('X', 'V', 'I', 'D'), \
-                          ##FRAME_RATE, \
-                          #(width, height), \
-                          #True)
-    cv2.namedWindow(ORG_WINDOW_NAME)
-    cv2.namedWindow(GAUSSIAN_WINDOW_NAME)
-    while end_flag == True:
-        gray = cv2.cvtColor(c_frame,cv2.COLOR_BGR2GRAY)
-        ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
-        gauss = cv2.GaussianBlur(th1,(9,9),0)
-        edges = cv2.Canny(gauss,100,150)
-        img, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
-        for i in range(0, len(contours)):
-           area = cv2.contourArea(contours[i])
-           if area < 1e2 or 1e5 < area: #1e2,1e5
-              continue
-           if len(contours[i]) > 0:
-             rect = contours[i]
-             x, y, w, h = cv2.boundingRect(rect)
-             if w >= 50 and w <= 1000: #300,450
-                if h >= 0 and h <= 500: #0,70
-                   cv2.rectangle(c_frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
-        LSD = cv2.createLineSegmentDetector()
-        lines, width, prec, nfa = LSD.detect(edges)
-        color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
-        for i in range(len(lines)):
-            for x1,y1,x2,y2 in lines[i] :
-                 cv2.line(c_frame,(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)
-        cv2.imshow("2", edges)
-        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()
-    #
-    cv2.destroyAllWindows()
-    cap.release()
-    rec.release()
-```

プログラム添付

2018/08/06 05:43

投稿

uriuri

スコア47

test CHANGED Viewed

File without changes

test CHANGED Viewed

@@ -71,3 +71,261 @@
 のようにすることで大きな矩形や小さな矩形を取り除くことはできますか。
 ほかにいい方法があればアドバイスお願いします。
+実際に使ったプログラムを載せます。いろんなサイトを参考にして書いたのでぐちゃぐちゃかもしれませんがよろしくおねがいします。
+```ここに言語を入力
+#coding: Shift_Jis
+import cv2
+import math
+import numpy as np
+# cv2.cv.CV_FOURCC
+def cv_fourcc(c1, c2, c3, c4):
+    return (ord(c1) & 255) + ((ord(c2) & 255) << 8) + \
+        ((ord(c3) & 255) << 16) + ((ord(c4) & 255) << 24)
+if __name__ == '__main__':
+    #
+    ESC_KEY = 27     #
+    INTERVAL= 33     #  33
+    FRAME_RATE = 30  # fps
+    ORG_WINDOW_NAME = "org"
+    GAUSSIAN_WINDOW_NAME = "syori"
+    FILE_NAME = "1.avi"
+    FILE_NAME2 = "2.avi"
+    FILE_NAME3 = "3.avi"
+    FILE_NAME4 = "4.avi"
+    #FILE_NAME5 = "5.avi"
+    DEVICE_ID = 1
+    cap = cv2.VideoCapture(DEVICE_ID)
+    end_flag, c_frame = cap.read()
+    height, width, channels = c_frame.shape
+    image_size = height * width
+    rec = cv2.VideoWriter(FILE_NAME, \
+                          cv_fourcc('X', 'V', 'I', 'D'), \
+                          FRAME_RATE, \
+                          (width, height), \
+                          True)
+    rec2 = cv2.VideoWriter(FILE_NAME2, \
+                          cv_fourcc('X', 'V', 'I', 'D'), \
+                          FRAME_RATE, \
+                          (width, height), \
+                          True)
+    rec3 = cv2.VideoWriter(FILE_NAME3, \
+                          cv_fourcc('X', 'V', 'I', 'D'), \
+                          FRAME_RATE, \
+                          (width, height), \
+                          True)
+    rec4 = cv2.VideoWriter(FILE_NAME4, \
+                          cv_fourcc('X', 'V', 'I', 'D'), \
+                          FRAME_RATE, \
+                          (width, height), \
+                          True)
+    #rec5 = cv2.VideoWriter(FILE_NAME5, \
+                          #cv_fourcc('X', 'V', 'I', 'D'), \
+                          ##FRAME_RATE, \
+                          #(width, height), \
+                          #True)
+    cv2.namedWindow(ORG_WINDOW_NAME)
+    cv2.namedWindow(GAUSSIAN_WINDOW_NAME)
+    while end_flag == True:
+        gray = cv2.cvtColor(c_frame,cv2.COLOR_BGR2GRAY)
+        ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
+        gauss = cv2.GaussianBlur(th1,(9,9),0)
+        edges = cv2.Canny(gauss,100,150)
+        img, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
+        for i in range(0, len(contours)):
+           area = cv2.contourArea(contours[i])
+           if area < 1e2 or 1e5 < area: #1e2,1e5
+              continue
+           if len(contours[i]) > 0:
+             rect = contours[i]
+             x, y, w, h = cv2.boundingRect(rect)
+             if w >= 50 and w <= 1000: #300,450
+                if h >= 0 and h <= 500: #0,70
+                   cv2.rectangle(c_frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+        LSD = cv2.createLineSegmentDetector()
+        lines, width, prec, nfa = LSD.detect(edges)
+        color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
+        for i in range(len(lines)):
+            for x1,y1,x2,y2 in lines[i] :
+                 cv2.line(c_frame,(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)
+        cv2.imshow("2", edges)
+        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()
+    #
+    cv2.destroyAllWindows()
+    cap.release()
+    rec.release()
+```