Last active
February 12, 2024 12:18
-
-
Save acrosby/11180502 to your computer and use it in GitHub Desktop.
This code demonstrates how to read a binary STL file and calculate its volume in python.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import struct | |
| def read_stl(filename): | |
| with open(filename) as f: | |
| Header = f.read(80) | |
| nn = f.read(4) | |
| Numtri = struct.unpack('i', nn)[0] | |
| record_dtype = np.dtype([ | |
| ('Normals', np.float32, (3,)), | |
| ('Vertex1', np.float32, (3,)), | |
| ('Vertex2', np.float32, (3,)), | |
| ('Vertex3', np.float32, (3,)), | |
| ('atttr', '<i2', (1,)), | |
| ]) | |
| data = np.zeros((Numtri,), dtype=record_dtype) | |
| for i in range(0, Numtri, 10): | |
| d = np.fromfile(f, dtype=record_dtype, count=10) | |
| data[i:i+len(d)] = d | |
| #normals = data['Normals'] | |
| v1 = data['Vertex1'] | |
| v2 = data['Vertex2'] | |
| v3 = data['Vertex3'] | |
| points = np.hstack(((v1[:, np.newaxis, :]), (v2[:, np.newaxis, :]), (v3[:, np.newaxis, :]))) | |
| return points | |
| def calc_volume(points): | |
| ''' | |
| Calculate the volume of an stl represented in m x 3 x 3 points array. Expected that input units is mm, so that | |
| output is in cubic centimeters (cc). | |
| ''' | |
| v = points | |
| volume = np.asarray([np.cross(v[i, 0, :], v[i, 1, :]).dot(v[i, 2, :]) for i in range(points.shape[0])]) | |
| return np.abs(volume.sum()/6.)/(10.**3.) | |
| def bounding_box(points): | |
| ''' | |
| Calculate the bounding box edge lengths of an stl using the design coordinate system (not an object oriented bounding box), | |
| expect that input coordinates are in mm. | |
| ''' | |
| v = points | |
| x = v[..., 0].flatten() | |
| y = v[..., 1].flatten() | |
| z = v[..., 2].flatten() | |
| return (x.max()-x.min(), y.max()-y.min(), z.max()-z.min()) | |
| def iter_calc_volume(filename): | |
| # open as binary | |
| with open(filename, 'rb') as f: | |
| Header = f.read(80) | |
| nn = f.read(4) | |
| Numtri = struct.unpack('i', nn)[0] | |
| record_dtype = np.dtype([ | |
| ('Normals', np.float32, (3,)), | |
| ('Vertex1', np.float32, (3,)), | |
| ('Vertex2', np.float32, (3,)), | |
| ('Vertex3', np.float32, (3,)), | |
| ('atttr', '<i2', (1,)), | |
| ]) | |
| volume = 0. | |
| for i in range(0, Numtri, 1): | |
| d = np.fromfile(f, dtype=record_dtype, count=1) | |
| v1 = d['Vertex1'][0] | |
| v2 = d['Vertex2'][0] | |
| v3 = d['Vertex3'][0] | |
| volume += np.cross(v1, v2).dot(v3) | |
| return np.abs(volume/6.)/(10.**3.) | |
| def iter_calc_bounding(filename): | |
| # open as binary | |
| with open(filename, 'rb') as f: | |
| Header = f.read(80) | |
| nn = f.read(4) | |
| Numtri = struct.unpack('i', nn)[0] | |
| record_dtype = np.dtype([ | |
| ('Normals', np.float32, (3,)), | |
| ('Vertex1', np.float32, (3,)), | |
| ('Vertex2', np.float32, (3,)), | |
| ('Vertex3', np.float32, (3,)), | |
| ('atttr', '<i2', (1,)), | |
| ]) | |
| xmax = -9999 | |
| xmin = 9999 | |
| ymax = -9999 | |
| ymin = 9999 | |
| zmax = -9999 | |
| zmin = 9999 | |
| for i in range(0, Numtri, 1): | |
| d = np.fromfile(f, dtype=record_dtype, count=1) | |
| v1 = d['Vertex1'] | |
| v2 = d['Vertex2'] | |
| v3 = d['Vertex3'] | |
| v = np.hstack(((v1[:, np.newaxis, :]), (v2[:, np.newaxis, :]), (v3[:, np.newaxis, :]))) | |
| x = v[..., 0].flatten() | |
| y = v[..., 1].flatten() | |
| z = v[..., 2].flatten() | |
| tmp_xmin = x.min() | |
| tmp_xmax = x.max() | |
| tmp_ymin = y.min() | |
| tmp_ymax = y.max() | |
| tmp_zmin = z.min() | |
| tmp_zmax = z.max() | |
| xmax = max((tmp_xmax, xmax)) | |
| xmin = min((tmp_xmin, xmin)) | |
| ymax = max((tmp_ymax, ymax)) | |
| ymin = min((tmp_ymin, ymin)) | |
| zmax = max((tmp_zmax, zmax)) | |
| zmin = min((tmp_zmin, zmin)) | |
| X = xmax-xmin | |
| Y = ymax-ymin | |
| Z = zmax-zmin | |
| return (X, Y, Z) | |
| def test(filename): | |
| points = read_stl(filename) | |
| vol1 = calc_volume(points) | |
| vol2 = iter_calc_volume(filename) | |
| print(vol1, vol2) | |
| assert np.isclose(vol1, vol2) # test for equal taking into account | |
| # floating point precision | |
| bb1 = bounding_box(points) | |
| bb2 = iter_calc_bounding(filename) | |
| print(bb1, bb2) | |
| assert np.isclose(bb1[0], bb2[0]) and np.isclose(bb1[1], bb2[1]) and np.isclose(bb1[2], bb2[2]) | |
| return True | |
| if __name__ == "__main__": | |
| import sys | |
| if sys.argv[1] == '-t': | |
| test(sys.argv[2]) | |
| print("Passed!") | |
| else: | |
| filename = sys.argv[1] | |
| print("Calculating the volume of %s in cc's" % (filename,)) | |
| print("The volume is: %f" % (iter_calc_volume(filename),)) | |
| print("The bounding box is: %s" % (iter_calc_bounding(filename),)) |
Hi @acrosby here follows my update. I've done the 2to3 upgrade and changed the file mode at the open() call.
import numpy as np
import struct
def read_stl(filename):
with open(filename) as f:
Header = f.read(80)
nn = f.read(4)
Numtri = struct.unpack('i', nn)[0]
record_dtype = np.dtype([
('Normals', np.float32, (3,)),
('Vertex1', np.float32, (3,)),
('Vertex2', np.float32, (3,)),
('Vertex3', np.float32, (3,)),
('atttr', '<i2', (1,)),
])
data = np.zeros((Numtri,), dtype=record_dtype)
for i in range(0, Numtri, 10):
d = np.fromfile(f, dtype=record_dtype, count=10)
data[i:i+len(d)] = d
#normals = data['Normals']
v1 = data['Vertex1']
v2 = data['Vertex2']
v3 = data['Vertex3']
points = np.hstack(((v1[:, np.newaxis, :]), (v2[:, np.newaxis, :]), (v3[:, np.newaxis, :])))
return points
def calc_volume(points):
'''
Calculate the volume of an stl represented in m x 3 x 3 points array. Expected that input units is mm, so that
output is in cubic centimeters (cc).
'''
v = points
volume = np.asarray([np.cross(v[i, 0, :], v[i, 1, :]).dot(v[i, 2, :]) for i in range(points.shape[0])])
return np.abs(volume.sum()/6.)/(10.**3.)
def bounding_box(points):
'''
Calculate the bounding box edge lengths of an stl using the design coordinate system (not an object oriented bounding box),
expect that input coordinates are in mm.
'''
v = points
x = v[..., 0].flatten()
y = v[..., 1].flatten()
z = v[..., 2].flatten()
return (x.max()-x.min(), y.max()-y.min(), z.max()-z.min())
def iter_calc_volume(filename):
# open as binary
with open(filename, 'rb') as f:
Header = f.read(80)
nn = f.read(4)
Numtri = struct.unpack('i', nn)[0]
record_dtype = np.dtype([
('Normals', np.float32, (3,)),
('Vertex1', np.float32, (3,)),
('Vertex2', np.float32, (3,)),
('Vertex3', np.float32, (3,)),
('atttr', '<i2', (1,)),
])
volume = 0.
for i in range(0, Numtri, 1):
d = np.fromfile(f, dtype=record_dtype, count=1)
v1 = d['Vertex1'][0]
v2 = d['Vertex2'][0]
v3 = d['Vertex3'][0]
volume += np.cross(v1, v2).dot(v3)
return np.abs(volume/6.)/(10.**3.)
def iter_calc_bounding(filename):
# open as binary
with open(filename, 'rb') as f:
Header = f.read(80)
nn = f.read(4)
Numtri = struct.unpack('i', nn)[0]
record_dtype = np.dtype([
('Normals', np.float32, (3,)),
('Vertex1', np.float32, (3,)),
('Vertex2', np.float32, (3,)),
('Vertex3', np.float32, (3,)),
('atttr', '<i2', (1,)),
])
xmax = -9999
xmin = 9999
ymax = -9999
ymin = 9999
zmax = -9999
zmin = 9999
for i in range(0, Numtri, 1):
d = np.fromfile(f, dtype=record_dtype, count=1)
v1 = d['Vertex1']
v2 = d['Vertex2']
v3 = d['Vertex3']
v = np.hstack(((v1[:, np.newaxis, :]), (v2[:, np.newaxis, :]), (v3[:, np.newaxis, :])))
x = v[..., 0].flatten()
y = v[..., 1].flatten()
z = v[..., 2].flatten()
tmp_xmin = x.min()
tmp_xmax = x.max()
tmp_ymin = y.min()
tmp_ymax = y.max()
tmp_zmin = z.min()
tmp_zmax = z.max()
xmax = max((tmp_xmax, xmax))
xmin = min((tmp_xmin, xmin))
ymax = max((tmp_ymax, ymax))
ymin = min((tmp_ymin, ymin))
zmax = max((tmp_zmax, zmax))
zmin = min((tmp_zmin, zmin))
X = xmax-xmin
Y = ymax-ymin
Z = zmax-zmin
return (X, Y, Z)
def test(filename):
points = read_stl(filename)
vol1 = calc_volume(points)
vol2 = iter_calc_volume(filename)
print(vol1, vol2)
assert np.isclose(vol1, vol2) # test for equal taking into account
# floating point precision
bb1 = bounding_box(points)
bb2 = iter_calc_bounding(filename)
print(bb1, bb2)
assert np.isclose(bb1[0], bb2[0]) and np.isclose(bb1[1], bb2[1]) and np.isclose(bb1[2], bb2[2])
return True
if __name__ == "__main__":
import sys
if sys.argv[1] == '-t':
test(sys.argv[2])
print("Passed!")
else:
filename = sys.argv[1]
print("Calculating the volume of %s in cc's" % (filename,))
print("The volume is: %f" % (iter_calc_volume(filename),))
print("The bounding box is: %s" % (iter_calc_bounding(filename),))
Can anyone help me? I get an error:
File "D:_CastingSystem\calc_volume.py", line 7, in read_stl
Header = f.read(80)
^^^^^^^^^^
File "C:\Users\New\AppData\Local\Programs\Python\Python311\Lib\encodings\cp1251.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'charmap' codec can't decode byte 0x98 in position 152: character maps to
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
@carribeiro I'm glad it was helpful! I haven't used this since the switch to Python3, if you want to post a diff or just or your changed version here I'll update my version of the Gist.