Added method to convert processed image to lithophane.

master
Rostislav Lán 2 years ago
parent bddb354ef5
commit 3f17c9607d

@ -197,6 +197,89 @@ class apply_filters:
def make_lithophane(self):
pass
'''After processing image, make a lithophane from it.
'''
print("Making meshgrid", file=sys.stderr)
self.make_meshgrid()
print("Converting to stl format", file=sys.stderr)
self.make_mesh()
plt.show()
self.save_model()
def make_meshgrid(self):
# Modify image to make it more suitable depth
# values1 = (1 + (1 - self.img/255)/6) * 255/10 # this works
# values2 = (1 - (1 - self.img/255)/6) * 255/10 # TODO: i dont know how to make white surrounding be extruded
values1better = 28.05 - 0.01*self.img
#values2better = 22.95 - 0.01*self.img
# (np.around(values2[::300],3))
# Add zero padding to image to make sides of the plate
self.height = self.img.shape[0] + 2
self.width = self.img.shape[1] + 2
self.img = np.zeros([self.height, self.width])
self.img[1:-1:1, 1:-1:1] = values1better
# Create meshgrid for 3D model
verticesX = np.around(np.linspace(0, self.width / 10, self.width), 3)
verticesY = np.around(np.linspace(0, self.height / 10, self.height), 3)
self.meshgrid = np.meshgrid(verticesX, verticesY)
def make_mesh(self):
# Convert meshgrid and image matrix to array of 3D points
vertice_arr = np.vstack(list(map(np.ravel, self.meshgrid))).T
z = (self.img / 10).reshape(-1, 1)
vertice_arr = np.concatenate((vertice_arr, z), axis=1)
# Convert back to matrix of 3D points
vertice_arr = vertice_arr.reshape(self.height, self.width, 3)
count = 0
vertices = []
faces = []
# Function to add faces to the list
def add_faces(c):
faces.append([c, c + 1, c + 2])
faces.append([c + 1, c + 3, c + 2])
c += 4
return c
# Iterate over all vertices, create faces
for j in range(self.width - 1):
for i in range(self.height - 1):
vertices.append([vertice_arr[i][j]])
vertices.append([vertice_arr[i][j+1]])
vertices.append([vertice_arr[i+1][j]])
vertices.append([vertice_arr[i+1][j+1]])
count = add_faces(count)
# Add faces for the backside of the lithophane
# This makes it closed, so it can be printed
vertices.append([vertice_arr[0][0]])
vertices.append([vertice_arr[0][self.width - 1]])
vertices.append([vertice_arr[self.height - 1][0]])
vertices.append([vertice_arr[self.height - 1][self.width - 1]])
count = add_faces(count)
# Convert to numpy arrays
faces = np.array(faces)
vertices = np.array(vertices)
# Create the mesh
self.model = mesh.Mesh(np.zeros(len(faces), dtype=mesh.Mesh.dtype))
for i, face in enumerate(faces):
for j in range(3):
self.model.vectors[i][j] = vertices[face[j], :]
def save_model(self):
print("Saving stl model", file=sys.stderr)
self.model.save('res/test.stl')
image = apply_filters()

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