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Refactored planar and curved model creation.

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master
Rostislav Lán 2 years ago
parent d664407d76
commit 73dc3722d7
1 changed files with 70 additions and 133 deletions
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203
src/main.py
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@ -103,7 +103,6 @@ class fingerprint_app:
help="switch to mirror input image")
# another boolean switch argument, this time with value, name of the new file and dimensions
# TODO: behaves absolutely randomly for some reason, fix it
parser.add_argument('-s', "--stl", type=str, nargs='*',
help="create stl model from processed image")
@ -125,11 +124,14 @@ class fingerprint_app:
# Get stl filename
self.stl_path = self.output_file.rsplit('/', 1)[0] + '/'
self.mode = self.args.stl[0]
log.print_message("Stl generation in", self.mode, "mode")
# Default values for stl generation parameters
def_val = {"hl": 2, "hb": 10, "crx": 2, "cry": 2, "it": 2, "fx": 0, "fy": 0, "fz": 0}
# Get mode and model parameters
if self.mode == 'p':
def_val = {"hl": 1.0, "hb": 0.2}
self.height_line = float(self.args.stl[1]) if len(
self.args.stl) > 1 else def_val.get("hl")
self.height_base = float(self.args.stl[2]) if len(
@ -137,14 +139,12 @@ class fingerprint_app:
if len(self.args.stl) < 3:
log.print_message(
"Warning: Too few arguments, using default values")
"Warning: Too few arguments, using some default values")
log.print_message("Base height:", self.height_base,
"mm, lines depth/height:", self.height_line, "mm")
elif self.mode == 'c':
def_val = {"hl": 0.2, "hb": 10.0,
"crx": 2, "cry": 4}
self.height_line = float(self.args.stl[1]) if len(
self.args.stl) > 1 else def_val.get("hl")
self.height_base = float(self.args.stl[2]) if len(
@ -156,16 +156,14 @@ class fingerprint_app:
if len(self.args.stl) < 5:
log.print_message(
"Warning: Too few arguments, using default values")
"Warning: Too few arguments, using some default values")
log.print_message("Line height:", self.height_line, "mm, base height:", self.height_base,
"mm, x axis curvature:", self.curv_rate_x, ", y axis curvature:", self.curv_rate_y)
elif self.mode == 'm':
def_val = {"hl": 0.2, "it": 2,
"fx": 0, "fy": 0, "fz": 0}
self.height_line = float(self.args.stl[1]) if len(
self.args.stl) > 1 else def_val.get("hl")
self.args.stl) > 1 else def_val.get("hl")/10
self.iter = int(self.args.stl[2]) if len(
self.args.stl) > 2 else def_val.get("it")
self.finger_x = float(self.args.stl[3]) if len(
@ -177,14 +175,13 @@ class fingerprint_app:
if len(self.args.stl) < 6:
log.print_message(
"Warning: Too few arguments, using default values for mapped mode")
"Warning: Too few arguments, using some default values")
log.print_message("Line height:", self.height_line, "mm, iterations:", self.iter,
", finger position:", self.finger_x, self.finger_y, self.finger_z)
else:
log.error_exit("Unrecognized generation mode")
log.print_message("Stl generation in", self.mode, "mode")
self.run_stl()
# ------------------------- FILTERING -------------------------#
@ -269,8 +266,6 @@ class fingerprint_app:
# create ID for the model from all its parameters
self.get_ID()
log.print_message("Creating mesh")
# Create a mesh using one of two modes
if self.mode == "p":
self.make_stl_planar()
@ -283,7 +278,6 @@ class fingerprint_app:
plt.show()
self.save_stl()
log.print_message("Saving model to", self.stl_filename)
def prepare_heightmap(self):
'''Scale image values to get values from 0 to 255.
@ -293,7 +287,7 @@ class fingerprint_app:
'''
if self.img.dtype != np.uint8:
log.print_message("Converting to uint8")
log.print_message("Converting heightmap to uint8")
self.img = self.img / np.max(self.img) * 255
self.img = self.img.astype(np.uint8)
@ -458,6 +452,7 @@ class fingerprint_app:
# TODO: this does not always work, fix it
# add the bottom array
OFFSET = 0.01
for i in range(self.height):
if self.mode == "p":
for j in range(self.width):
@ -479,6 +474,7 @@ class fingerprint_app:
# Convert lists to numpy arrays
faces = np.array(faces)
vertices = np.array(vertices)
c = 0
# Create the mesh - vertices.shape (no_faces, 3, 3)
self.stl_model = mesh.Mesh(
@ -486,37 +482,27 @@ class fingerprint_app:
for i, face in enumerate(faces):
for j in range(3):
self.stl_model.vectors[i][j] = vertices[face[j], :]
# Prints out generation progress
if i % 100 == 0:
percentage = round(i/len(faces) * 100, 2)
if percentage > c:
log.print_message("Creating model " + str(c) + "%")
c += 10
log.print_message("Model creation finished")
def make_stl_planar(self):
'''Create mesh from meshgrid.
Create vertices from meshgrid, add depth values from image.
Create faces from vertices. Add vectors and faces to the model.
From wikipedia.org/wiki/STL_(file_format):
ascii stl format consists of repeating structures:
def create_faces(self, top_vert_arr, bottom_vert_arr):
'''Create faces for the model.
facet normal ni nj nk # normal vector
outer loop
vertex v1x v1y v1z # vertex 1
vertex v2x v2y v2z # vertex 2
vertex v3x v3y v3z # vertex 3
endloop
endfacet
Iterate over all vertices, append to vector and create faces from indices
'''
# Add the image matrix to the 2D meshgrid and create 1D array of 3D points
top_vert_arr = np.vstack(list(map(np.ravel, self.meshgrid))).T
z = (self.img / 10).reshape(-1, 1)
top_vert_arr = np.concatenate((top_vert_arr, z), axis=1)
# Convert 1D array back to matrix of 3D points
top_vert_arr = top_vert_arr.reshape(self.height, self.width, 3)
count = 0
vertices = []
faces = []
# Iterate over all vertices, create faces
# Front side faces
for i in range(self.height - 1):
for j in range(self.width - 1):
@ -524,13 +510,8 @@ class fingerprint_app:
vertices.append([top_vert_arr[i][j+1]])
vertices.append([top_vert_arr[i+1][j]])
vertices.append([top_vert_arr[i+1][j+1]])
count = self.append_faces(faces, count)
# Prepare image with plotted text for the backside of the lithophane
bottom_vert_arr = np.copy(top_vert_arr)
self.engrave_text(bottom_vert_arr, top_vert_arr)
# Back side faces
for i in range(self.height - 1):
for j in range(self.width - 1):
@ -539,45 +520,66 @@ class fingerprint_app:
vertices.append([bottom_vert_arr[i+1][j]])
vertices.append([bottom_vert_arr[i][j+1]])
vertices.append([bottom_vert_arr[i+1][j+1]])
count = self.append_faces(faces, count)
# Horizontal side faces
for i in range(self.height - 1):
vertices.append([top_vert_arr[i][0]])
vertices.append([top_vert_arr[i+1][0]])
vertices.append([bottom_vert_arr[i][0]])
vertices.append([bottom_vert_arr[i+1][0]])
count = self.append_faces(faces, count)
max = self.width - 1
vertices.append([top_vert_arr[i+1][max]])
vertices.append([top_vert_arr[i][max]])
vertices.append([bottom_vert_arr[i+1][max]])
vertices.append([bottom_vert_arr[i][max]])
count = self.append_faces(faces, count)
# Vertical side faces
for j in range(self.width - 1):
vertices.append([top_vert_arr[0][j+1]])
vertices.append([top_vert_arr[0][j]])
vertices.append([bottom_vert_arr[0][j+1]])
vertices.append([bottom_vert_arr[0][j]])
count = self.append_faces(faces, count)
max = self.height - 1
vertices.append([top_vert_arr[max][j]])
vertices.append([top_vert_arr[max][j+1]])
vertices.append([bottom_vert_arr[max][j]])
vertices.append([bottom_vert_arr[max][j+1]])
count = self.append_faces(faces, count)
return faces, vertices
def make_stl_planar(self):
'''
Create vertices from meshgrid, add depth values from image.
Create faces from vertices. Add vectors and faces to the model.
'''
# Add the image matrix to the 2D meshgrid and create 1D array of 3D points
tmp_vert_arr = np.vstack(list(map(np.ravel, self.meshgrid))).T
top_vert_arr = np.concatenate(
(tmp_vert_arr, (self.img / 10).reshape(-1, 1)), axis=1)
# Convert 1D array back to matrix of 3D points
top_vert_arr = top_vert_arr.reshape(self.height, self.width, 3)
# Prepare image with plotted text for the backside of the lithophane
bottom_vert_arr = np.copy(top_vert_arr)
# Engrave text on the back of the model
self.engrave_text(bottom_vert_arr, top_vert_arr)
# Create all vertices, faces
faces, vertices = self.create_faces(top_vert_arr, bottom_vert_arr)
# Add the created vertices and faces to a mesh
self.create_stl_mesh(faces, vertices)
def make_stl_curved(self):
@ -587,21 +589,20 @@ class fingerprint_app:
Create faces from vertices. Add vectors and faces to the model.
'''
# TODO: this might be done in a better way, comment
z = np.array([])
for x in range(self.width):
z = np.append(z, np.sqrt(1 - (2*x/self.width - 1)**2)
* (self.curv_rate_x**2))
# Calculate the curved surface values
x = np.arange(self.width)
y = np.arange(self.height)[:, np.newaxis]
x = (2*x / self.width) - 1
z = np.sqrt(1 - x**2) * self.curv_rate_x**2
z = np.tile(z, (self.height, 1))
for y in range(self.height):
new = np.sqrt((1 - ((self.height - y)/self.height)**2)
* (self.curv_rate_y**2))
z[y] = ((z[y] * new) + (z[y] + new))/2
z *= np.sqrt((1 - ((self.height - y) / self.height)**2)
* self.curv_rate_y**2)
z = z.reshape(-1, 1)
# make a copy of z for the bottom side
z_cpy = np.copy(z)
# reshape img and add it to z
# Make a copy of z for the bottom side
z_cpy = z.copy()
# Reshape img and add it to height values
self.img = (self.img / 10).reshape(-1, 1)
z += self.img
@ -615,79 +616,13 @@ class fingerprint_app:
bottom_vert_arr = np.concatenate((vert_arr_tmp, z_cpy), axis=1)
bottom_vert_arr = bottom_vert_arr.reshape(self.height, self.width, 3)
count = 0
vertices = []
faces = []
# Engrave text on the back of the model
self.engrave_text(bottom_vert_arr, top_vert_arr)
# TODO: code bellow is duplicate of the code in planar generation
# if not changed move to a separate function and simplify
# Iterate over all vertices, create faces
for i in range(self.height - 1):
for j in range(self.width - 1):
if (top_vert_arr[i][j][2] <= bottom_vert_arr[i][j][2]
or top_vert_arr[i+1][j][2] <= bottom_vert_arr[i+1][j][2]
or top_vert_arr[i][j+1][2] <= bottom_vert_arr[i][j+1][2]
or top_vert_arr[i+1][j+1][2] <= bottom_vert_arr[i+1][j+1][2]):
continue
vertices.append([top_vert_arr[i][j]])
vertices.append([top_vert_arr[i][j+1]])
vertices.append([top_vert_arr[i+1][j]])
vertices.append([top_vert_arr[i+1][j+1]])
count = self.append_faces(faces, count)
# Rotated back side faces
for i in range(self.height - 1):
for j in range(self.width - 1):
if (top_vert_arr[i][j][2] <= bottom_vert_arr[i][j][2]):
continue
vertices.append([bottom_vert_arr[i][j]])
vertices.append([bottom_vert_arr[i+1][j]])
vertices.append([bottom_vert_arr[i][j+1]])
vertices.append([bottom_vert_arr[i+1][j+1]])
count = self.append_faces(faces, count)
# Horizontal side faces
for i in range(self.height - 1): # right
vertices.append([top_vert_arr[i][0]])
vertices.append([top_vert_arr[i+1][0]])
vertices.append([bottom_vert_arr[i][0]])
vertices.append([bottom_vert_arr[i+1][0]])
count = self.append_faces(faces, count)
max = self.width - 1
vertices.append([top_vert_arr[i+1][max]])
vertices.append([top_vert_arr[i][max]])
vertices.append([bottom_vert_arr[i+1][max]])
vertices.append([bottom_vert_arr[i][max]])
count = self.append_faces(faces, count)
# Vertical side faces
for j in range(self.width - 1):
vertices.append([top_vert_arr[0][j+1]])
vertices.append([top_vert_arr[0][j]])
vertices.append([bottom_vert_arr[0][j+1]])
vertices.append([bottom_vert_arr[0][j]])
count = self.append_faces(faces, count)
max = self.height - 1
vertices.append([top_vert_arr[max][j]])
vertices.append([top_vert_arr[max][j+1]])
vertices.append([bottom_vert_arr[max][j]])
vertices.append([bottom_vert_arr[max][j+1]])
count = self.append_faces(faces, count)
# Create all vertices, faces
faces, vertices = self.create_faces(top_vert_arr, bottom_vert_arr)
# Add the created vertices and faces to a mesh
self.create_stl_mesh(faces, vertices)
def make_stl_map(self):
@ -771,6 +706,8 @@ class fingerprint_app:
self.stl_model.export(file_obj=self.stl_filename)
else:
self.stl_model.save(self.stl_filename)
log.print_message("Saving model to", self.stl_filename)
self.write_stl_header()

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