質問編集履歴
6
コード修正
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@@ -193,4 +193,82 @@
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cv2.waitKey()
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cv2.destroyAllWindows()
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```
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修正後
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```python
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import cv2
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import math
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import numpy as np
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img_src = cv2.imread("test.jpg")
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gauss = cv2.GaussianBlur(img_src, (11, 11), 0)
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gray = cv2.cvtColor(gauss, cv2.COLOR_BGR2GRAY)
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ret,th1 = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
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edges = cv2.Canny(th1, 50, 150)
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img, contours, hierarchy = cv2.findContours(th1, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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for i in range(0, len(contours)):
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#for cnt in contours:
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cnt = contours[i]
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area = cv2.contourArea(cnt)
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#print(area)
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if 500 < area < 5000:
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rect = cv2.minAreaRect(cnt)
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box = cv2.boxPoints(rect)
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(cx, cy), (width, height), angle = rect
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diag = np.linalg.norm([width, height])
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#print(width, height, diag)
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# 161.91236877441406 16.144147872924805 162.715237986
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#
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A = width
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B = height
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C = diag
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if A < B:
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min = A
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else:
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min = B
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if C < min:
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min = C
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print("min", min)
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if 5 < min < 25:
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#
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cv2.drawContours(img_src, [box.astype(int)], -1, (0, 255, 0), 2)
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def within(line, rect):
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p1, p2 = tuple(line[:2]), tuple(line[2:])
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#print("p1",p1)
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#print("p2",p2)
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#print("line",line)
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return cv2.pointPolygonTest(box, p1, False) >= 0 and \
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cv2.pointPolygonTest(box, p2, False) >= 0
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LSD = cv2.createLineSegmentDetector()
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lines, width, prec, nfa = LSD.detect(edges)
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if lines is not None:
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lines = np.squeeze(lines,axis=1)
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255
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#if lines.dims == 1:
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256
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# lines = np.expand_dims(lines, axis=0)
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for line in lines:
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p1, p2 = tuple(line[:2]), tuple(line[2:])
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print("line",line)
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if within(line, rect):
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cv2.line(img_src, p1, p2, (0, 0, 255), 2)
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#else:
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# cv2.line(img_src, p1, p2, (255, 0, 0), 2)
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cv2.imshow('src', img_src)
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cv2.waitKey()
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cv2.destroyAllWindows()
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```
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5
コードの追加
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@@ -102,4 +102,95 @@
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102
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.
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.
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```
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コードが見づらくて申し訳ありません
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105
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コードが見づらくて申し訳ありません
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107
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```python
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import cv2
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import math
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import numpy as np
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img_src = cv2.imread("./haku/sample/image1.ppm")
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gauss = cv2.GaussianBlur(img_src,(11,11),0)#9,9
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gray = cv2.cvtColor(gauss,cv2.COLOR_BGR2GRAY)
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ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
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edges = cv2.Canny(th1,50,150)#(100,150)
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img, contours, hierarchy = cv2.findContours(th1, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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if len(contours) > 0:
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for i in range(0, len(contours)):
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cnt = contours[i]
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M = cv2.moments(cnt)
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#print(M)
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area = cv2.contourArea(cnt)
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print(area)
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if 500 < area < 5000:
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rect = cv2.minAreaRect(contours[i])
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box = cv2.boxPoints(rect)
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box = np.int0(box)
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x1,x2,x3,x4 = np.int0(box)
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a = np.array(x1)
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b = np.array(x2)
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c = np.array(x3)
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d = np.array(x4)
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137
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138
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A = np.linalg.norm(a-b)
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139
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B = np.linalg.norm(a-c)
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140
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C = np.linalg.norm(a-d)
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141
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142
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print("頂点",x1,x2,x3,x4)
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143
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#print("abcd", a,b,c,d)
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#print("Aの長さ", A)
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#print("Bの長さ",B)
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#print("Cの長さ",C)
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if A < B:
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min = A
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else:
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min = B
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if C < min:
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min = C
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print("最小",min)
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155
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if 5 < min < 25:
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im = cv2.drawContours(img_src,[box],0,(0,255,0),2)
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158
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159
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def within(line, rect):
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"""line が rect に含まれるかどうか
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"""
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162
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p1, p2 = tuple(line[:2]), tuple(line[2:])
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# 線の始点と終点が長方形内に含まれるかどうか
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return cv2.pointPolygonTest(box, p1, False) >= 0 and \
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cv2.pointPolygonTest(box, p2, False) >= 0
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166
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167
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LSD = cv2.createLineSegmentDetector()
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168
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lines, width, prec, nfa = LSD.detect(edges)
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169
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print(lines.shape)
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170
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lines = np.squeeze(lines)
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171
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172
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if lines is not None:
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for i in range(len(lines)):
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174
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175
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#for x1,y1,x2,y2 in lines[i] :
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176
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# cv2.line(img_src,(x1,y1),(x2,y2),(0,0,255),2)
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177
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# X1 = (x1, y1)
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178
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# X2 = (x2, y2)
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179
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# print("X1", X1)
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180
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#print("X2", X2)
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181
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for line in lines:
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182
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p1, p2 = tuple(lines[:2]), tuple(line[2:])
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183
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if within(line, rect):
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184
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# 長方形に含まれる場合は赤色で描画
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185
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cv2.line(img_src, p1, p2, (0, 0, 255), 2)
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186
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else:
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187
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# 長方形に含まれない場合は赤色で描画
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188
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cv2.line(img_src, p1, p2, (255, 0, 0), 2)
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189
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190
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191
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#cv2.imwrite("teratail.jpg", img_src)
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192
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cv2.imshow('src', img_src)
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193
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cv2.waitKey()
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194
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cv2.destroyAllWindows()
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195
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196
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```
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4
コードの追記
title
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body
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@@ -60,7 +60,26 @@
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60
60
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b = np.array(x2)
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61
61
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c = np.array(x3)
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62
62
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d = np.array(x4)
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63
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+
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64
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A = np.linalg.norm(a-b)
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65
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B = np.linalg.norm(a-c)
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66
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C = np.linalg.norm(a-d)
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67
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68
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print("頂点",x1,x2,x3,x4)
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69
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+
#print("abcd", a,b,c,d)
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70
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+
#print("Aの長さ", A)
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71
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+
#print("Bの長さ",B)
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72
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+
#print("Cの長さ",C)
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73
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+
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74
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if A < B:
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75
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min = A
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76
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+
else:
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77
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min = B
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78
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+
if C < min:
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79
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min = C
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80
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+
print("最小",min)
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81
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+
if 5 < min < 25:
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63
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-
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82
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im = cv2.drawContours(img_src,[box],0,(0,255,0),2)
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64
83
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65
84
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#直線検出
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66
85
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LSD = cv2.createLineSegmentDetector()
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3
画像の挿入
title
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File without changes
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body
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@@ -1,4 +1,5 @@
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1
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1
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-
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2
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+
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2
3
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3
4
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緑色の矩形内に赤い直線がある場合,白い線としたいと思っています
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4
5
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@@ -30,9 +31,17 @@
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30
31
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この場合条件文で比較するためのアドバイスをいただけたら幸いです
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31
32
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32
33
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```python
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33
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-
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34
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+
import cv2
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34
|
-
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|
35
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+
import math
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35
|
-
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36
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+
import numpy as np
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37
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+
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38
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+
img_src = cv2.imread("./haku/sample/image1.ppm")
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|
39
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+
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|
40
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+
gauss = cv2.GaussianBlur(img_src,(11,11),0)#9,9
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|
41
|
+
gray = cv2.cvtColor(gauss,cv2.COLOR_BGR2GRAY)
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|
42
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+
ret,th1 = cv2.threshold(gray,200,255,cv2.THRESH_BINARY)
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43
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+
edges = cv2.Canny(th1,50,150)#(100,150)
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44
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+
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36
45
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#矩形検出
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37
46
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img, contours, hierarchy = cv2.findContours(th1, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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38
47
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if len(contours) > 0:
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2
コードの追加
title
CHANGED
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File without changes
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body
CHANGED
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@@ -27,4 +27,51 @@
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27
27
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28
28
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というエラーがでてしまいます
|
|
29
29
|
これは条件文に対してX1がどの値かが明確ではないため起こる問題であっていますでしょうか
|
|
30
|
-
この場合条件文で比較するためのアドバイスをいただけたら幸いです
|
|
30
|
+
この場合条件文で比較するためのアドバイスをいただけたら幸いです
|
|
31
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+
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32
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+
```python
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33
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+
.
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|
34
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+
.
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|
35
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+
.
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|
36
|
+
#矩形検出
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|
37
|
+
img, contours, hierarchy = cv2.findContours(th1, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
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|
38
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+
if len(contours) > 0:
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39
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+
for i in range(0, len(contours)):
|
|
40
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+
cnt = contours[i]
|
|
41
|
+
M = cv2.moments(cnt)
|
|
42
|
+
#print(M)
|
|
43
|
+
area = cv2.contourArea(cnt)
|
|
44
|
+
print(area)
|
|
45
|
+
if 500 < area < 5000:
|
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46
|
+
rect = cv2.minAreaRect(contours[i])
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|
47
|
+
box = cv2.boxPoints(rect)
|
|
48
|
+
box = np.int0(box)
|
|
49
|
+
x1,x2,x3,x4 = np.int0(box)
|
|
50
|
+
a = np.array(x1)
|
|
51
|
+
b = np.array(x2)
|
|
52
|
+
c = np.array(x3)
|
|
53
|
+
d = np.array(x4)
|
|
54
|
+
im = cv2.drawContours(img_src,[box],0,(0,255,0),2)
|
|
55
|
+
|
|
56
|
+
#直線検出
|
|
57
|
+
LSD = cv2.createLineSegmentDetector()
|
|
58
|
+
lines, width, prec, nfa = LSD.detect(edges)
|
|
59
|
+
if lines is not None:
|
|
60
|
+
for i in range(len(lines)):
|
|
61
|
+
|
|
62
|
+
for x1,y1,x2,y2 in lines[i] :
|
|
63
|
+
cv2.line(img_src,(x1,y1),(x2,y2),(0,0,255),2)
|
|
64
|
+
X1 = (x1, y1)
|
|
65
|
+
X2 = (x2, y2)
|
|
66
|
+
print("X1", X1)
|
|
67
|
+
print("X2", X2)
|
|
68
|
+
|
|
69
|
+
jug1 = cv2.pointPolygonTest(rect, X1, False)
|
|
70
|
+
jug2 = cv2.pointPolygonTest(rect, X2, False)
|
|
71
|
+
print(jug1)
|
|
72
|
+
print(jug2)
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|
73
|
+
.
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|
74
|
+
.
|
|
75
|
+
.
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|
76
|
+
```
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|
77
|
+
コードが見づらくて申し訳ありません
|
1
誤字
title
CHANGED
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File without changes
|
body
CHANGED
|
@@ -21,7 +21,7 @@
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21
21
|
・
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22
22
|
・
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23
23
|
Traceback (most recent call last):
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|
24
|
-
File "
|
|
24
|
+
File "○○○.py", line 101, in <module>
|
|
25
25
|
if a < X1 < b:
|
|
26
26
|
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
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|
27
27
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|