Refactored planar and curved model creation.
This commit is contained in:
203
src/main.py
203
src/main.py
@ -103,7 +103,6 @@ class fingerprint_app:
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help="switch to mirror input image")
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# another boolean switch argument, this time with value, name of the new file and dimensions
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# TODO: behaves absolutely randomly for some reason, fix it
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parser.add_argument('-s', "--stl", type=str, nargs='*',
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help="create stl model from processed image")
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@ -125,11 +124,14 @@ class fingerprint_app:
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# Get stl filename
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self.stl_path = self.output_file.rsplit('/', 1)[0] + '/'
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self.mode = self.args.stl[0]
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log.print_message("Stl generation in", self.mode, "mode")
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# Default values for stl generation parameters
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def_val = {"hl": 2, "hb": 10, "crx": 2, "cry": 2, "it": 2, "fx": 0, "fy": 0, "fz": 0}
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# Get mode and model parameters
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if self.mode == 'p':
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def_val = {"hl": 1.0, "hb": 0.2}
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self.height_line = float(self.args.stl[1]) if len(
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self.args.stl) > 1 else def_val.get("hl")
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self.height_base = float(self.args.stl[2]) if len(
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@ -137,14 +139,12 @@ class fingerprint_app:
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if len(self.args.stl) < 3:
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log.print_message(
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"Warning: Too few arguments, using default values")
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"Warning: Too few arguments, using some default values")
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log.print_message("Base height:", self.height_base,
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"mm, lines depth/height:", self.height_line, "mm")
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elif self.mode == 'c':
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def_val = {"hl": 0.2, "hb": 10.0,
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"crx": 2, "cry": 4}
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self.height_line = float(self.args.stl[1]) if len(
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self.args.stl) > 1 else def_val.get("hl")
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self.height_base = float(self.args.stl[2]) if len(
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@ -156,16 +156,14 @@ class fingerprint_app:
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if len(self.args.stl) < 5:
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log.print_message(
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"Warning: Too few arguments, using default values")
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"Warning: Too few arguments, using some default values")
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log.print_message("Line height:", self.height_line, "mm, base height:", self.height_base,
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"mm, x axis curvature:", self.curv_rate_x, ", y axis curvature:", self.curv_rate_y)
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elif self.mode == 'm':
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def_val = {"hl": 0.2, "it": 2,
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"fx": 0, "fy": 0, "fz": 0}
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self.height_line = float(self.args.stl[1]) if len(
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self.args.stl) > 1 else def_val.get("hl")
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self.args.stl) > 1 else def_val.get("hl")/10
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self.iter = int(self.args.stl[2]) if len(
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self.args.stl) > 2 else def_val.get("it")
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self.finger_x = float(self.args.stl[3]) if len(
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@ -177,14 +175,13 @@ class fingerprint_app:
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if len(self.args.stl) < 6:
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log.print_message(
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"Warning: Too few arguments, using default values for mapped mode")
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"Warning: Too few arguments, using some default values")
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log.print_message("Line height:", self.height_line, "mm, iterations:", self.iter,
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", finger position:", self.finger_x, self.finger_y, self.finger_z)
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else:
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log.error_exit("Unrecognized generation mode")
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log.print_message("Stl generation in", self.mode, "mode")
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self.run_stl()
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# ------------------------- FILTERING -------------------------#
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@ -269,8 +266,6 @@ class fingerprint_app:
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# create ID for the model from all its parameters
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self.get_ID()
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log.print_message("Creating mesh")
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# Create a mesh using one of two modes
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if self.mode == "p":
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self.make_stl_planar()
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@ -283,7 +278,6 @@ class fingerprint_app:
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plt.show()
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self.save_stl()
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log.print_message("Saving model to", self.stl_filename)
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def prepare_heightmap(self):
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'''Scale image values to get values from 0 to 255.
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@ -293,7 +287,7 @@ class fingerprint_app:
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'''
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if self.img.dtype != np.uint8:
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log.print_message("Converting to uint8")
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log.print_message("Converting heightmap to uint8")
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self.img = self.img / np.max(self.img) * 255
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self.img = self.img.astype(np.uint8)
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@ -458,6 +452,7 @@ class fingerprint_app:
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# TODO: this does not always work, fix it
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# add the bottom array
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OFFSET = 0.01
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for i in range(self.height):
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if self.mode == "p":
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for j in range(self.width):
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@ -479,6 +474,7 @@ class fingerprint_app:
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# Convert lists to numpy arrays
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faces = np.array(faces)
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vertices = np.array(vertices)
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c = 0
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# Create the mesh - vertices.shape (no_faces, 3, 3)
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self.stl_model = mesh.Mesh(
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@ -486,37 +482,27 @@ class fingerprint_app:
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for i, face in enumerate(faces):
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for j in range(3):
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self.stl_model.vectors[i][j] = vertices[face[j], :]
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# Prints out generation progress
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if i % 100 == 0:
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percentage = round(i/len(faces) * 100, 2)
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if percentage > c:
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log.print_message("Creating model " + str(c) + "%")
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c += 10
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log.print_message("Model creation finished")
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def make_stl_planar(self):
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'''Create mesh from meshgrid.
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Create vertices from meshgrid, add depth values from image.
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Create faces from vertices. Add vectors and faces to the model.
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def create_faces(self, top_vert_arr, bottom_vert_arr):
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'''Create faces for the model.
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From wikipedia.org/wiki/STL_(file_format):
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ascii stl format consists of repeating structures:
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facet normal ni nj nk # normal vector
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outer loop
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vertex v1x v1y v1z # vertex 1
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vertex v2x v2y v2z # vertex 2
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vertex v3x v3y v3z # vertex 3
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endloop
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endfacet
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Iterate over all vertices, append to vector and create faces from indices
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'''
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# Add the image matrix to the 2D meshgrid and create 1D array of 3D points
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top_vert_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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top_vert_arr = np.concatenate((top_vert_arr, z), axis=1)
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# Convert 1D array back to matrix of 3D points
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top_vert_arr = top_vert_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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# Iterate over all vertices, create faces
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# Front side faces
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for i in range(self.height - 1):
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for j in range(self.width - 1):
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@ -524,13 +510,8 @@ class fingerprint_app:
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vertices.append([top_vert_arr[i][j+1]])
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vertices.append([top_vert_arr[i+1][j]])
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vertices.append([top_vert_arr[i+1][j+1]])
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count = self.append_faces(faces, count)
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# Prepare image with plotted text for the backside of the lithophane
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bottom_vert_arr = np.copy(top_vert_arr)
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self.engrave_text(bottom_vert_arr, top_vert_arr)
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# Back side faces
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for i in range(self.height - 1):
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for j in range(self.width - 1):
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@ -539,45 +520,66 @@ class fingerprint_app:
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vertices.append([bottom_vert_arr[i+1][j]])
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vertices.append([bottom_vert_arr[i][j+1]])
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vertices.append([bottom_vert_arr[i+1][j+1]])
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count = self.append_faces(faces, count)
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# Horizontal side faces
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for i in range(self.height - 1):
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vertices.append([top_vert_arr[i][0]])
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vertices.append([top_vert_arr[i+1][0]])
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vertices.append([bottom_vert_arr[i][0]])
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vertices.append([bottom_vert_arr[i+1][0]])
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count = self.append_faces(faces, count)
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max = self.width - 1
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vertices.append([top_vert_arr[i+1][max]])
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vertices.append([top_vert_arr[i][max]])
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vertices.append([bottom_vert_arr[i+1][max]])
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vertices.append([bottom_vert_arr[i][max]])
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count = self.append_faces(faces, count)
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# Vertical side faces
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for j in range(self.width - 1):
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vertices.append([top_vert_arr[0][j+1]])
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vertices.append([top_vert_arr[0][j]])
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vertices.append([bottom_vert_arr[0][j+1]])
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vertices.append([bottom_vert_arr[0][j]])
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count = self.append_faces(faces, count)
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max = self.height - 1
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vertices.append([top_vert_arr[max][j]])
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vertices.append([top_vert_arr[max][j+1]])
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vertices.append([bottom_vert_arr[max][j]])
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vertices.append([bottom_vert_arr[max][j+1]])
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count = self.append_faces(faces, count)
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return faces, vertices
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def make_stl_planar(self):
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'''
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Create vertices from meshgrid, add depth values from image.
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Create faces from vertices. Add vectors and faces to the model.
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'''
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# Add the image matrix to the 2D meshgrid and create 1D array of 3D points
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tmp_vert_arr = np.vstack(list(map(np.ravel, self.meshgrid))).T
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top_vert_arr = np.concatenate(
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(tmp_vert_arr, (self.img / 10).reshape(-1, 1)), axis=1)
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# Convert 1D array back to matrix of 3D points
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top_vert_arr = top_vert_arr.reshape(self.height, self.width, 3)
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# Prepare image with plotted text for the backside of the lithophane
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bottom_vert_arr = np.copy(top_vert_arr)
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# Engrave text on the back of the model
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self.engrave_text(bottom_vert_arr, top_vert_arr)
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# Create all vertices, faces
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faces, vertices = self.create_faces(top_vert_arr, bottom_vert_arr)
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# Add the created vertices and faces to a mesh
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self.create_stl_mesh(faces, vertices)
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def make_stl_curved(self):
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@ -587,21 +589,20 @@ class fingerprint_app:
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Create faces from vertices. Add vectors and faces to the model.
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'''
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# TODO: this might be done in a better way, comment
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z = np.array([])
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for x in range(self.width):
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z = np.append(z, np.sqrt(1 - (2*x/self.width - 1)**2)
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* (self.curv_rate_x**2))
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# Calculate the curved surface values
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x = np.arange(self.width)
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y = np.arange(self.height)[:, np.newaxis]
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x = (2*x / self.width) - 1
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z = np.sqrt(1 - x**2) * self.curv_rate_x**2
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z = np.tile(z, (self.height, 1))
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for y in range(self.height):
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new = np.sqrt((1 - ((self.height - y)/self.height)**2)
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* (self.curv_rate_y**2))
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z[y] = ((z[y] * new) + (z[y] + new))/2
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z *= np.sqrt((1 - ((self.height - y) / self.height)**2)
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* self.curv_rate_y**2)
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z = z.reshape(-1, 1)
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# make a copy of z for the bottom side
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z_cpy = np.copy(z)
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# reshape img and add it to z
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# Make a copy of z for the bottom side
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z_cpy = z.copy()
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# Reshape img and add it to height values
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self.img = (self.img / 10).reshape(-1, 1)
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z += self.img
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@ -615,79 +616,13 @@ class fingerprint_app:
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bottom_vert_arr = np.concatenate((vert_arr_tmp, z_cpy), axis=1)
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bottom_vert_arr = bottom_vert_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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# Engrave text on the back of the model
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self.engrave_text(bottom_vert_arr, top_vert_arr)
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# TODO: code bellow is duplicate of the code in planar generation
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# if not changed move to a separate function and simplify
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# Iterate over all vertices, create faces
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for i in range(self.height - 1):
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for j in range(self.width - 1):
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if (top_vert_arr[i][j][2] <= bottom_vert_arr[i][j][2]
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or top_vert_arr[i+1][j][2] <= bottom_vert_arr[i+1][j][2]
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or top_vert_arr[i][j+1][2] <= bottom_vert_arr[i][j+1][2]
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or top_vert_arr[i+1][j+1][2] <= bottom_vert_arr[i+1][j+1][2]):
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continue
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vertices.append([top_vert_arr[i][j]])
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vertices.append([top_vert_arr[i][j+1]])
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vertices.append([top_vert_arr[i+1][j]])
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vertices.append([top_vert_arr[i+1][j+1]])
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count = self.append_faces(faces, count)
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# Rotated back side faces
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for i in range(self.height - 1):
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for j in range(self.width - 1):
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if (top_vert_arr[i][j][2] <= bottom_vert_arr[i][j][2]):
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continue
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vertices.append([bottom_vert_arr[i][j]])
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vertices.append([bottom_vert_arr[i+1][j]])
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vertices.append([bottom_vert_arr[i][j+1]])
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vertices.append([bottom_vert_arr[i+1][j+1]])
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count = self.append_faces(faces, count)
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# Horizontal side faces
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for i in range(self.height - 1): # right
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vertices.append([top_vert_arr[i][0]])
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vertices.append([top_vert_arr[i+1][0]])
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vertices.append([bottom_vert_arr[i][0]])
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vertices.append([bottom_vert_arr[i+1][0]])
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count = self.append_faces(faces, count)
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max = self.width - 1
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vertices.append([top_vert_arr[i+1][max]])
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vertices.append([top_vert_arr[i][max]])
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vertices.append([bottom_vert_arr[i+1][max]])
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vertices.append([bottom_vert_arr[i][max]])
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count = self.append_faces(faces, count)
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# Vertical side faces
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for j in range(self.width - 1):
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vertices.append([top_vert_arr[0][j+1]])
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vertices.append([top_vert_arr[0][j]])
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vertices.append([bottom_vert_arr[0][j+1]])
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vertices.append([bottom_vert_arr[0][j]])
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count = self.append_faces(faces, count)
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max = self.height - 1
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vertices.append([top_vert_arr[max][j]])
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vertices.append([top_vert_arr[max][j+1]])
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vertices.append([bottom_vert_arr[max][j]])
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vertices.append([bottom_vert_arr[max][j+1]])
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count = self.append_faces(faces, count)
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# Create all vertices, faces
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faces, vertices = self.create_faces(top_vert_arr, bottom_vert_arr)
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# Add the created vertices and faces to a mesh
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self.create_stl_mesh(faces, vertices)
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def make_stl_map(self):
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@ -771,6 +706,8 @@ class fingerprint_app:
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self.stl_model.export(file_obj=self.stl_filename)
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else:
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self.stl_model.save(self.stl_filename)
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log.print_message("Saving model to", self.stl_filename)
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self.write_stl_header()
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Block a user