|
@@ -48,6 +48,9 @@ def read_image(filename, path_steps, volume_percent, angle_d):
|
48
|
48
|
p_max = [points[0][0], points[0][1]]
|
49
|
49
|
|
50
|
50
|
# find center
|
|
51
|
+ dist_min = float('inf')
|
|
52
|
+ dist_max = 0
|
|
53
|
+ p_prev = p_min
|
51
|
54
|
for segment in path:
|
52
|
55
|
p = [segment.end.real, segment.end.imag]
|
53
|
56
|
for i in range(0, 2):
|
|
@@ -56,6 +59,15 @@ def read_image(filename, path_steps, volume_percent, angle_d):
|
56
|
59
|
if p[i] > p_max[i]:
|
57
|
60
|
p_max[i] = p[i]
|
58
|
61
|
|
|
62
|
+ dist_curr = (p[0] - p_prev[0]) * (p[0] - p_prev[0])
|
|
63
|
+ dist_curr += (p[1] - p_prev[1]) * (p[1] - p_prev[1])
|
|
64
|
+ dist_curr = math.sqrt(dist_curr)
|
|
65
|
+ p_prev = p
|
|
66
|
+ if dist_curr > dist_max:
|
|
67
|
+ dist_max = dist_curr
|
|
68
|
+ if dist_curr < dist_min:
|
|
69
|
+ dist_min = dist_curr
|
|
70
|
+
|
59
|
71
|
p_center = [ p_min[0] + (p_max[0] - p_min[0] )/2 , p_min[1] + (p_max[1] - p_min[1] )/2]
|
60
|
72
|
|
61
|
73
|
# find min max for all rotatations
|
|
@@ -87,6 +99,7 @@ def read_image(filename, path_steps, volume_percent, angle_d):
|
87
|
99
|
|
88
|
100
|
print("min={} max={}".format(p_min, p_max))
|
89
|
101
|
print("center={} ".format(p_center))
|
|
102
|
+ print("dist ={} ={} ".format(dist_min, dist_max))
|
90
|
103
|
|
91
|
104
|
data = bytearray()
|
92
|
105
|
|