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dataset.py
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import csv
import os
from mesh import Mesh
import numpy as np
from os.path import join
import trimesh
from features_mesh import Features_Mesh
from shape_features_mesh import Shape_Features_Mesh
from tqdm import tqdm
import pandas as pd
from scipy import stats
class Dataset:
def __init__(self, folder_name_dataset, write_basic_csv=False, write_other_csv=False):
self.folder_name_dataset = folder_name_dataset
self.exclude_list = ["m1693.ply"]
#self.meshes_file_paths = self.get_all_meshes_file_paths()
#self.meshes = self.make_all_meshes()
if write_basic_csv:
self.write_basic_info_csv()
if write_other_csv:
self.write_bounding_box_csv()
self.write_alignment_csv()
self.write_flipping_csv()
def write_basic_info_csv(self):
print("Writing basic csv info of {}".format(self.folder_name_dataset))
with open(os.getcwd() + "/csv/" + self.folder_name_dataset + "_basic_mesh_info.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["mesh_name", "category", "n_vertices", "n_faces", "d_centroid_origin", "scale"])
for mesh in self.make_all_meshes():
writer.writerow(mesh.basic_mesh_info())
def write_bounding_box_csv(self):
print("Writing bounding box csv info of {}".format(self.folder_name_dataset))
with open(os.getcwd() + "/csv/" + self.folder_name_dataset + "_bounding_box.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["mesh name"] + ["corner{0}{1}".format(i, j) for i in range(1,9) for j in ["x", "y", "z"]])
for mesh in self.make_all_meshes():
writer.writerow([mesh.name] + list(mesh.get_AABB().flatten()))
def write_alignment_csv(self):
print("Writing alignment csv info of {}".format(self.folder_name_dataset))
with open(os.getcwd() + "/csv/" + self.folder_name_dataset + "_alignment.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["mesh name", "alignment_x", "alignment_y", "alignment_z"])
for mesh in self.make_all_meshes():
writer.writerow([mesh.name] + list(mesh.get_alignment()))
def write_flipping_csv(self):
print("Writing flipping csv info of {}".format(self.folder_name_dataset))
with open(os.getcwd() + "/csv/" + self.folder_name_dataset + "_flipping.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["mesh name", "flip_x", "flip_y", "flip_z"])
for mesh in self.make_all_meshes():
writer.writerow([mesh.name] + list(mesh.get_flip()))
def write_face_area_csv(self):
print("Writing face area csv info of {}".format(self.folder_name_dataset))
with open(os.getcwd() + "/csv/" + self.folder_name_dataset + "_face_area.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["face area"])
for mesh in self.make_all_meshes():
for face_area in mesh.get_face_areas():
writer.writerow([face_area])
def write_elementary_features(self):
print("Writing elementary features csv info of {}".format(self.folder_name_dataset))
if not os.path.exists(join(os.getcwd(), "features")):
os.mkdir("features")
with open(os.getcwd() + "/features/" + self.folder_name_dataset + "_elementary_features.csv", "w") as conn:
writer = csv.writer(conn)
writer.writerow(["mesh name", "category", "area", "compactness", "AABB_volume", "diameter", "eccentricity"])
for mesh in tqdm(self.make_all_meshes()):
if mesh.name not in self.exclude_list:
writer.writerow(Features_Mesh(mesh).get_all_elementary_features())
def write_shape_features(self):
print("Writing shape features csv info of {}".format(self.folder_name_dataset))
if not os.path.exists(join(os.getcwd(), "features")):
os.mkdir("features")
with open(os.getcwd() + "/features/" + self.folder_name_dataset + "_shape_features.csv", "w") as conn:
for mesh in self:
shape_features = Shape_Features_Mesh(mesh)
break
writer = csv.writer(conn)
ft_names = [ft + "_" + str(i) for ft in ["A3", "D1", "D2", "D3", "D4"] for i in range(1, shape_features.n_bins + 1)]
writer.writerow(["mesh name"] + ft_names)
for mesh in tqdm(self):
if mesh.name not in self.exclude_list:
writer.writerow(Shape_Features_Mesh(mesh).get_all_shape_features())
def write_all_features_normalized(self):
print("Writing all normalized features csv of {}".format(self.folder_name_dataset))
if not os.path.exists(join(os.getcwd(), "features")):
os.mkdir("features")
all_features_file_path = os.getcwd() + "/features/" + self.folder_name_dataset + "_all_features_normalized.csv"
elem_features_file_path = os.getcwd() + "/features/" + self.folder_name_dataset + "_elementary_features.csv"
shape_features_file_path = os.getcwd() + "/features/" + self.folder_name_dataset + "_shape_features.csv"
a = pd.read_csv(elem_features_file_path)
b = pd.read_csv(shape_features_file_path)
merged = a.merge(b, on='mesh name')
merged.to_csv(all_features_file_path, index=False)
# df = pd.read_csv(all_features_file_path)
# old_order = list(df.columns)
# ft_names = [ft + "_" + str(i) for ft in ["A3", "D1", "D2", "D3", "D4"] for i in range(1, 11)]
# new_order = ["mesh name", "category", "area", "compactness", "AABB_volume", "diameter", "eccentricity"] + ft_names
# df_reorder = df[new_order]
# df_reorder.to_csv(all_features_file_path, index=False)
self.normalize_features_csv()
def normalize_features_csv(self):
print("Normalizing...")
all_features_file_path = os.getcwd() + "/features/" + self.folder_name_dataset + "_all_features_normalized.csv"
features = pd.read_csv(all_features_file_path)
info = np.zeros(shape=(5,2))
info[0,0] = features['area'].mean()
info[0,1] = features['area'].std()
info[1,0] = features['compactness'].mean()
info[1,1] = features['compactness'].std()
info[2,0] = features['AABB_volume'].mean()
info[2,1] = features['AABB_volume'].std()
info[3,0] = features['diameter'].mean()
info[3,1] = features['diameter'].std()
info[4,0] = features['eccentricity'].mean()
info[4,1] = features['eccentricity'].std()
features['area'] = stats.zscore(features['area'])
features['compactness'] = stats.zscore(features['compactness'])
features['AABB_volume'] = stats.zscore(features['AABB_volume'])
features['diameter'] = stats.zscore(features['diameter'])
features['eccentricity'] = stats.zscore(features['eccentricity'])
features.to_csv(all_features_file_path, index=False)
np.save("norm_info", info)
def get_face_areas_in_bins(self, bins):
A = np.zeros(shape = len(bins)-1)
for mesh in self.make_all_meshes():
A += mesh.get_face_areas_in_bins(bins)
return A / np.sum(A)
def __iter__(self):
return self.make_all_meshes()
def __len__(self):
return len(list(self.get_all_meshes_file_paths()))
def to_list(self):
return list(self.make_all_meshes())
def make_all_meshes(self):
""" Returns an iterator with all meshes """
for mesh_file_path in self.get_all_meshes_file_paths():
mesh = Mesh(mesh_file_path)
yield mesh
def get_all_meshes_file_paths(self):
""" Returns an iterator with all the file paths to meshes in the Princeton folder """
shape_dir = os.getcwd() + "/{}/".format(self.folder_name_dataset)
for folder in os.listdir(shape_dir):
if not folder.startswith(".") and not folder.endswith(".txt"):
for filename in os.listdir(shape_dir + folder):
if filename.endswith(".ply") or filename.endswith(".obj") or filename.endswith(".off"):
file_path = shape_dir + folder + "/" + filename
yield file_path
def get_mesh(self, mesh_name):
for mesh in self.make_all_meshes():
if mesh.name == mesh_name:
return mesh
raise Exception("This mesh was not found.")
def get_mesh_file_path(self, mesh_name):
for meshpath in self.get_all_meshes_file_paths():
if meshpath.endswith(mesh_name) or meshpath.endswith(mesh_name + ".ply") or meshpath.endswith(mesh_name + ".obj") or meshpath.endswith(mesh_name + ".off"):
return meshpath
def show_mesh(self, mesh_name):
found = False
for mesh_file_path in self.get_all_meshes_file_paths():
if mesh_file_path.split("/")[-1] == mesh_name:
found = True
Mesh(mesh_file_path).show()
if not found:
raise Exception("This mesh was not found.")
def is_normalised(self):
if not os.path.isfile("{}/yes_normalized.txt".format(self.folder_name_dataset)):
for mesh in self.make_all_meshes():
if not mesh.is_normalised():
return False
with open("{}/yes_normalized.txt".format(self.folder_name_dataset), "w") as conn:
conn.write("this has been normalized")
return True
return True
def resample(self):
if not os.path.isfile("{}/yes_remesh.txt".format(self.folder_name_dataset)):
for mesh in self.make_all_meshes():
mesh.subdivide_to_size()
while mesh.n_vertices < 1000:
mesh.subdivide()
mesh.decimation()
print("Mesh remeshed! New # of vertices: " + str(mesh.n_vertices) + ", faces: " + str(mesh.n_faces))
mesh.export(join(join(self.folder_name_dataset, mesh.category), mesh.name))
self.write_basic_info_csv()
self.write_bounding_box_csv()
self.write_alignment_csv()
with open("{}/yes_remesh.txt".format(self.folder_name_dataset), "w") as conn:
conn.write("this has been remeshed")
def normalize(self, debug=False):
if not self.is_normalised():
progress = 0
for mesh in self.make_all_meshes():
os.system('clear')
os.system('cls')
print("Progress: " + str(progress).rjust(5) + "/{} (".format(self.__len__()) + str(int(progress/self.__len__() * 100)).rjust(3) + "%)")
progress += 1
print(mesh.name)
mesh.fix_mesh()
print("Original centroid: " + str(mesh.centroid))
mesh.normalize_translation()
print("New centroid: " + str(mesh.centroid))
mesh.normalize_alignment()
mesh.normalize_scale()
mesh.normalize_flipping()
print("Bounding box after alignment, scaling and flipping:\n" + str(mesh.get_AABB()))
# if show_interims: #and USE_EIGENS:
# print("==> eigenvalues for (x, y, z)")
# print(eigenvalues)
# print("\n==> eigenvectors")
# print(eigenvectors)
# print("Order: " + str([newXindex, newYindex, newZindex]))
# print(ordered_eigenvectors)
# mesh.show()
print("Exporting to " + join(join(self.folder_name_dataset, mesh.category), mesh.name))
mesh.export(join(join(self.folder_name_dataset, mesh.category), mesh.name))
self.write_basic_info_csv()
self.write_bounding_box_csv()
self.write_alignment_csv()
self.write_flipping_csv()
def save_thumbnails(self):
progress = 0
for mesh in self.make_all_meshes():
if mesh.save_thumbnail():
progress += 1
print(progress, mesh.name)