質問編集履歴
2
誤字
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@@ -34,133 +34,4 @@
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continue
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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。
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ほかにいい方法があればアドバイスお願いします。
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ほかにいい方法があればアドバイスお願いします。
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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。
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```ここに言語を入力
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#coding: Shift_Jis
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import cv2
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import math
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import numpy as np
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# cv2.cv.CV_FOURCC
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def cv_fourcc(c1, c2, c3, c4):
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return (ord(c1) & 255) + ((ord(c2) & 255) << 8) + \
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((ord(c3) & 255) << 16) + ((ord(c4) & 255) << 24)
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if __name__ == '__main__':
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#
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ESC_KEY = 27 #
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INTERVAL= 33 # 33
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FRAME_RATE = 30 # fps
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ORG_WINDOW_NAME = "org"
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GAUSSIAN_WINDOW_NAME = "syori"
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FILE_NAME = "1.avi"
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FILE_NAME2 = "2.avi"
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FILE_NAME3 = "3.avi"
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FILE_NAME4 = "4.avi"
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#FILE_NAME5 = "5.avi"
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DEVICE_ID = 1
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cap = cv2.VideoCapture(DEVICE_ID)
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end_flag, c_frame = cap.read()
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height, width, channels = c_frame.shape
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image_size = height * width
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rec = cv2.VideoWriter(FILE_NAME, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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FRAME_RATE, \
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(width, height), \
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True)
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rec2 = cv2.VideoWriter(FILE_NAME2, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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FRAME_RATE, \
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(width, height), \
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True)
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rec3 = cv2.VideoWriter(FILE_NAME3, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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FRAME_RATE, \
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(width, height), \
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True)
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rec4 = cv2.VideoWriter(FILE_NAME4, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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FRAME_RATE, \
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(width, height), \
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True)
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#rec5 = cv2.VideoWriter(FILE_NAME5, \
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#cv_fourcc('X', 'V', 'I', 'D'), \
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##FRAME_RATE, \
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#(width, height), \
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#True)
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cv2.namedWindow(ORG_WINDOW_NAME)
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cv2.namedWindow(GAUSSIAN_WINDOW_NAME)
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while end_flag == True:
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gray = cv2.cvtColor(c_frame,cv2.COLOR_BGR2GRAY)
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ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
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gauss = cv2.GaussianBlur(th1,(9,9),0)
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edges = cv2.Canny(gauss,100,150)
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img, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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for i in range(0, len(contours)):
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area = cv2.contourArea(contours[i])
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if area < 1e2 or 1e5 < area: #1e2,1e5
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continue
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if len(contours[i]) > 0:
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rect = contours[i]
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x, y, w, h = cv2.boundingRect(rect)
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if w >= 50 and w <= 1000: #300,450
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if h >= 0 and h <= 500: #0,70
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cv2.rectangle(c_frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
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LSD = cv2.createLineSegmentDetector()
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lines, width, prec, nfa = LSD.detect(edges)
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color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
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for i in range(len(lines)):
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for x1,y1,x2,y2 in lines[i] :
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cv2.line(c_frame,(x1,y1),(x2,y2),(0,0,255),2)
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disp_in_img = cv2.cvtColor(color, cv2.COLOR_BGR2RGB)
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cv2.imshow(ORG_WINDOW_NAME, c_frame)
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#cv2.imshow('res',gauss)
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cv2.imshow('4', disp_in_img)
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cv2.imshow('3', gray)
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cv2.imshow("1", th1)
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cv2.imshow("2", edges)
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rec.write(gray)
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rec2.write(c_frame)
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rec3.write(th1)
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rec4.write(edges)
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#rec5.write(gauss)
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key = cv2.waitKey(INTERVAL)
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if key == ESC_KEY:
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break
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end_flag, c_frame = cap.read()
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#
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cv2.destroyAllWindows()
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cap.release()
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rec.release()
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```
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1
プログラム添付
title
CHANGED
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File without changes
|
body
CHANGED
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@@ -34,4 +34,133 @@
|
|
|
34
34
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continue
|
|
35
35
|
|
|
36
36
|
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。
|
|
37
|
-
ほかにいい方法があればアドバイスお願いします。
|
|
37
|
+
ほかにいい方法があればアドバイスお願いします。
|
|
38
|
+
|
|
39
|
+
|
|
40
|
+
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。
|
|
41
|
+
```ここに言語を入力
|
|
42
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+
#coding: Shift_Jis
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|
43
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+
import cv2
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44
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+
import math
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45
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+
import numpy as np
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|
46
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+
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47
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+
# cv2.cv.CV_FOURCC
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48
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+
def cv_fourcc(c1, c2, c3, c4):
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49
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return (ord(c1) & 255) + ((ord(c2) & 255) << 8) + \
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50
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+
((ord(c3) & 255) << 16) + ((ord(c4) & 255) << 24)
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51
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+
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52
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+
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53
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+
if __name__ == '__main__':
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54
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+
#
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55
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+
ESC_KEY = 27 #
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56
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INTERVAL= 33 # 33
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57
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FRAME_RATE = 30 # fps
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58
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ORG_WINDOW_NAME = "org"
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GAUSSIAN_WINDOW_NAME = "syori"
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FILE_NAME = "1.avi"
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FILE_NAME2 = "2.avi"
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FILE_NAME3 = "3.avi"
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FILE_NAME4 = "4.avi"
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#FILE_NAME5 = "5.avi"
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DEVICE_ID = 1
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cap = cv2.VideoCapture(DEVICE_ID)
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end_flag, c_frame = cap.read()
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height, width, channels = c_frame.shape
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73
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image_size = height * width
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74
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rec = cv2.VideoWriter(FILE_NAME, \
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75
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cv_fourcc('X', 'V', 'I', 'D'), \
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76
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FRAME_RATE, \
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(width, height), \
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True)
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rec2 = cv2.VideoWriter(FILE_NAME2, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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FRAME_RATE, \
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(width, height), \
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True)
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rec3 = cv2.VideoWriter(FILE_NAME3, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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86
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FRAME_RATE, \
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87
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(width, height), \
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True)
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rec4 = cv2.VideoWriter(FILE_NAME4, \
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cv_fourcc('X', 'V', 'I', 'D'), \
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91
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FRAME_RATE, \
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92
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(width, height), \
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True)
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#rec5 = cv2.VideoWriter(FILE_NAME5, \
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#cv_fourcc('X', 'V', 'I', 'D'), \
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##FRAME_RATE, \
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#(width, height), \
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#True)
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cv2.namedWindow(ORG_WINDOW_NAME)
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cv2.namedWindow(GAUSSIAN_WINDOW_NAME)
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while end_flag == True:
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gray = cv2.cvtColor(c_frame,cv2.COLOR_BGR2GRAY)
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ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
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gauss = cv2.GaussianBlur(th1,(9,9),0)
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edges = cv2.Canny(gauss,100,150)
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img, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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for i in range(0, len(contours)):
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area = cv2.contourArea(contours[i])
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if area < 1e2 or 1e5 < area: #1e2,1e5
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continue
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if len(contours[i]) > 0:
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rect = contours[i]
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x, y, w, h = cv2.boundingRect(rect)
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if w >= 50 and w <= 1000: #300,450
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if h >= 0 and h <= 500: #0,70
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cv2.rectangle(c_frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
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LSD = cv2.createLineSegmentDetector()
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lines, width, prec, nfa = LSD.detect(edges)
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color = cv2.cvtColor(gray,cv2.COLOR_GRAY2BGR)
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for i in range(len(lines)):
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for x1,y1,x2,y2 in lines[i] :
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cv2.line(c_frame,(x1,y1),(x2,y2),(0,0,255),2)
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disp_in_img = cv2.cvtColor(color, cv2.COLOR_BGR2RGB)
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cv2.imshow(ORG_WINDOW_NAME, c_frame)
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#cv2.imshow('res',gauss)
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cv2.imshow('4', disp_in_img)
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cv2.imshow('3', gray)
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cv2.imshow("1", th1)
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cv2.imshow("2", edges)
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rec.write(gray)
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rec2.write(c_frame)
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rec3.write(th1)
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rec4.write(edges)
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#rec5.write(gauss)
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key = cv2.waitKey(INTERVAL)
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if key == ESC_KEY:
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break
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156
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157
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end_flag, c_frame = cap.read()
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159
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160
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#
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cv2.destroyAllWindows()
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cap.release()
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rec.release()
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164
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165
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```
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