Added method to convert processed image to lithophane.
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83
src/main.py
83
src/main.py
@ -197,6 +197,89 @@ class apply_filters:
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def make_lithophane(self):
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pass
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'''After processing image, make a lithophane from it.
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'''
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print("Making meshgrid", file=sys.stderr)
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self.make_meshgrid()
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print("Converting to stl format", file=sys.stderr)
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self.make_mesh()
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plt.show()
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self.save_model()
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def make_meshgrid(self):
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# Modify image to make it more suitable depth
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# values1 = (1 + (1 - self.img/255)/6) * 255/10 # this works
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# values2 = (1 - (1 - self.img/255)/6) * 255/10 # TODO: i dont know how to make white surrounding be extruded
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values1better = 28.05 - 0.01*self.img
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#values2better = 22.95 - 0.01*self.img
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# (np.around(values2[::300],3))
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# Add zero padding to image to make sides of the plate
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self.height = self.img.shape[0] + 2
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self.width = self.img.shape[1] + 2
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self.img = np.zeros([self.height, self.width])
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self.img[1:-1:1, 1:-1:1] = values1better
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# Create meshgrid for 3D model
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verticesX = np.around(np.linspace(0, self.width / 10, self.width), 3)
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verticesY = np.around(np.linspace(0, self.height / 10, self.height), 3)
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self.meshgrid = np.meshgrid(verticesX, verticesY)
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def make_mesh(self):
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# Convert meshgrid and image matrix to array of 3D points
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vertice_arr = np.vstack(list(map(np.ravel, self.meshgrid))).T
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z = (self.img / 10).reshape(-1, 1)
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vertice_arr = np.concatenate((vertice_arr, z), axis=1)
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# Convert back to matrix of 3D points
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vertice_arr = vertice_arr.reshape(self.height, self.width, 3)
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count = 0
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vertices = []
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faces = []
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# Function to add faces to the list
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def add_faces(c):
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faces.append([c, c + 1, c + 2])
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faces.append([c + 1, c + 3, c + 2])
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c += 4
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return c
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# Iterate over all vertices, create faces
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for j in range(self.width - 1):
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for i in range(self.height - 1):
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vertices.append([vertice_arr[i][j]])
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vertices.append([vertice_arr[i][j+1]])
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vertices.append([vertice_arr[i+1][j]])
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vertices.append([vertice_arr[i+1][j+1]])
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count = add_faces(count)
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# Add faces for the backside of the lithophane
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# This makes it closed, so it can be printed
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vertices.append([vertice_arr[0][0]])
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vertices.append([vertice_arr[0][self.width - 1]])
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vertices.append([vertice_arr[self.height - 1][0]])
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vertices.append([vertice_arr[self.height - 1][self.width - 1]])
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count = add_faces(count)
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# Convert to numpy arrays
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faces = np.array(faces)
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vertices = np.array(vertices)
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# Create the mesh
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self.model = mesh.Mesh(np.zeros(len(faces), dtype=mesh.Mesh.dtype))
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for i, face in enumerate(faces):
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for j in range(3):
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self.model.vectors[i][j] = vertices[face[j], :]
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def save_model(self):
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print("Saving stl model", file=sys.stderr)
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self.model.save('res/test.stl')
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image = apply_filters()
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