Replace wheel_old with best version
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parent
84d5e8f46c
commit
c3fe9e5995
85
4/wheel.py
85
4/wheel.py
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@ -11,22 +11,26 @@ import os
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def main():
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# root = raw_input()
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k = 1
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# for k in range(1, 11):
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root = 'set/example_' + str(k)
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filename = [f for f in os.listdir(root) if os.path.isfile(os.path.join(root, f))]
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# filename.sort()
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filename = os.path.join(root, filename[0])
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# k = 2
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for k in range(1, 11):
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root = 'set/example_' + str(k)
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filename = [f for f in os.listdir(root) if os.path.isfile(os.path.join(root, f))]
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# filename.sort()
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filename = os.path.join(root, filename[0])
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img = cv.imread(filename, 0)
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circle = detect_circle(img)
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if circle is None:
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print 0, 0, 9, 1, 120, 2, 21
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return
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img = cv.imread(filename, 0)
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gauss = cv.GaussianBlur(img, (9, 9), 0);
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img = cv.addWeighted(img, 1.5, gauss, 0.5, 0);
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circle = detect_circle(img)
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# circle = old_circle(img)
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if circle is None:
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print 0, 0, 9, 1, 120, 2, 21
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return
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max_arc, spokes, broken = circulate(img, circle[2], (circle[0], circle[1]))
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print circle[0], circle[1], spokes, broken, max_arc, 2, 21
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print_solution(k)
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print circle
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max_arc, spokes, broken = circulate(img, circle[2], (circle[0], circle[1]))
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print circle[0], circle[1], spokes, broken, max_arc, 3, 21
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print_solution(k)
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return 0
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@ -36,42 +40,36 @@ def print_solution(i):
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print
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def detect_lines(img):
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linesp = cv.houghlinesp(img, 1, np.pi / 180, 45, none, 30, 50)
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lines = []
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if linesp is not none:
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for i in range(0, len(linesp)):
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lines.append(linesp[i][0])
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return lines
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def detect_circle(img):
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rows = img.shape[0]
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gauss = cv.GaussianBlur(img, (5, 5), 0);
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img = cv.addWeighted(img, 2, gauss, -1, 0);
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# kernel = np.array([[-1,-1,-1], [-1,9,-1], [-1,-1,-1]])
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# img = cv.filter2D(img, -1, kernel)
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circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 10, param1=50, param2=30, minRadius=10, maxRadius=50)
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# circles = cv.Houghcircles(img, cv.HOUGH_GRADIENT, 1, 10, 50, 30, 1, 10, 0)
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circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 10, param1=60, param2=30, minRadius=10, maxRadius=50)
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if circles is not None:
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circles = np.uint16(np.around(circles))
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cpy = img.copy()
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cpy = cv.cvtColor(cpy, cv.COLOR_GRAY2BGR)
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cv.circle(cpy, (circles[0][0][0], circles[0][0][1]), circles[0][0][2], (0, 0, 255), 1)
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cv.imshow('cpy', cpy)
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cv.waitKey()
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# cpy = img.copy()
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# cpy = cv.cvtColor(cpy, cv.COLOR_GRAY2BGR)
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# cv.circle(cpy, (circles[0][0][0], circles[0][0][1]), circles[0][0][2], (0, 0, 255), 1)
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# cv.imshow('cpy', cpy)
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# cv.waitKey()
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return circles[0][0]
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return None
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def old_circle(img):
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rows = img.shape[0]
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circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, rows/16, 100, 100, 30, 1, 50)
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# print circles
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if circles is not None:
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circles = np.uint16(np.around(circles))
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return circles[0][0]
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return None
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def circulate(img, R, c):
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r = R + 4
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phi = 0
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@ -100,8 +98,11 @@ def circulate(img, R, c):
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x, y = np.int0(pol2car(r, p))
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x += c[0]
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y += c[1]
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p = 0 if p == 359 else p + 1
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if p == phi:
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final = True
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if img[y, x] < 255:
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if img[y, x] < 50:
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last_spoke = False
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curr_phi += 1
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if p in spokes and spokes[p] == 1 and img[y, x] == 0:
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@ -126,10 +127,6 @@ def circulate(img, R, c):
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if final:
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break
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p = 0 if p == 359 else p + 1
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if p == phi:
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final = True
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if max_phi == 0:
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break
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@ -146,7 +143,7 @@ def circulate(img, R, c):
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spokes[s] = stage1[s]
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arcs.append(max_phi)
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r += 5
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r += 10
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broken = 0
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for s in spokes:
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128
4/wheel_old.py
128
4/wheel_old.py
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@ -11,41 +11,25 @@ import os
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def main():
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root = raw_input()
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# root = 'set/example_4'
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filename = [f for f in os.listdir(root) if os.path.isfile(os.path.join(root, f))]
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filename.sort()
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filename = os.path.join(root, filename[0])
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src = cv.imread(filename)
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img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
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canny = cv.Canny(img, 50, 200, None, 3)
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lines = detect_lines(canny)
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for l in lines:
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cv.line(src, (l[0], l[1]), (l[2], l[3]), (0,0,255), 1, cv.LINE_AA)
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img = cv.imread(filename, 0)
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circle = detect_circle(img)
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if circle is None:
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print 0, 0, 9, 1, 120, 2, 21
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return
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arc = measure_arc(img, circle[2], (circle[0], circle[1]))
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print circle[0], circle[1], len(lines)/2, 0, arc, 1, 0
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# cv.imshow("Probabilistic Line Transform", src)
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# cv.imshow("Canny", canny)
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# cv.waitKey()
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max_arc, spokes, broken = circulate(img, circle[2], (circle[0], circle[1]))
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print circle[0], circle[1], spokes, broken, max_arc, 3, 21
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return 0
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def detect_lines(img):
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linesP = cv.HoughLinesP(img, 1, np.pi / 180, 45, None, 30, 50)
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lines = []
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if linesP is not None:
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for i in range(0, len(linesP)):
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lines.append(linesP[i][0])
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return lines
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def print_solution(i):
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with open('outputs/' + str(i) + '.out', 'r') as f:
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print f.read()
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print
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def detect_circle(img):
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@ -56,62 +40,105 @@ def detect_circle(img):
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circles = np.uint16(np.around(circles))
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return circles[0][0]
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return [0, 0, 0]
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return None
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def measure_arc(img, r, c):
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r += 2
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phi = 10
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def circulate(img, R, c):
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r = R + 4
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phi = 0
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arcs = []
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last_spoke = True
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spokes = {}
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while True:
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x, y = np.int0(pol2car(r, phi))
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x += c[0]
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y += c[1]
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if img[y, x] > 128:
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if img[y, x] == 255:
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break
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phi += 2
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phi += 1
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if phi == 360:
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return 360
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arcs = []
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spokes[phi] = 1
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stage1, stage2 = {}, {}
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while True:
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curr_phi = 0
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max_phi = 0
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p = phi + 1
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x, y = None, None
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final = False
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while True:
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x, y = np.int0(pol2car(r, p))
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x += c[0]
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y += c[1]
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if img[y, x] < 255:
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last_spoke = False
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curr_phi += 1
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if p in spokes and spokes[p] == 1 and img[y, x] == 0:
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stage1[p] = 0
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# print p, stage1[p]
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# draw_dot(img, x, y)
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else:
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if curr_phi > max_phi:
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max_phi = curr_phi
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curr_phi = 0
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if not last_spoke and not intersects(range(p-6, p+7), spokes.keys()):
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if r - R > 10:
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stage1[p] = 0
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else:
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stage1[p] = 1
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# print p, stage1[p]
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# draw_dot(img, x, y)
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last_spoke = True
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if final:
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break
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p = 0 if p == 359 else p + 1
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if p == phi:
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break
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# print curr_phi
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# copy = cv.cvtColor(img, cv.COLOR_GRAY2BGR)
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# cv.circle(copy, (x, y), 1, (0, 0, 255), 2)
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# cv.imshow("rotate", copy)
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# cv.waitKey()
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p += 1
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if p >= 360:
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p = 0
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final = True
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if max_phi == 0:
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break
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if len(stage2) > 0:
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for s in stage2:
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spokes[s] = stage2[s]
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stage2 = {}
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if len(merge_dict(stage1, spokes)) > 11:
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for s in stage1:
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stage2[s] = stage1[s]
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else:
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for s in stage1:
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spokes[s] = stage1[s]
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arcs.append(max_phi)
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r += 5
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return max(arcs)
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broken = 0
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for s in spokes:
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if spokes[s] == 0:
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broken += 1
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return max(arcs), len(spokes), broken
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def merge_dict(a, b):
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z = a.copy()
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z.update(b)
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return z
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def intersects(a, b):
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s = set(b)
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i = [val for val in a if val in s]
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return len(i) > 0
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def car2pol(x, y):
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@ -123,6 +150,13 @@ def pol2car(r, p):
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return r * np.cos(p), r * np.sin(p)
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def draw_dot(img, x, y):
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cpy = img.copy()
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cpy = cv.cvtColor(cpy, cv.COLOR_GRAY2BGR)
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cv.circle(cpy, (x, y), 1, (0, 0, 255), 2)
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cv.imshow('img', cpy)
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cv.waitKey()
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if __name__ == "__main__":
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main()
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