diff --git a/stl2vtk.py b/stl2vtk.py
deleted file mode 100644
index 08e4a05ff98920234d067a16fb54c92a4c287d72..0000000000000000000000000000000000000000
--- a/stl2vtk.py
+++ /dev/null
@@ -1,162 +0,0 @@
-# Copyright University of Lorraine - LEM3
-# Contributor(s) :
-# Adrien Baldit
-# Contact: adrien.baldit@univ-lorraine.fr
-#
-# This script is a computer program whose purpose is to produce
-# biomechanical and bioengineering data processing.
-#
-# This script is governed under French law and abiding by the rules
-# of distribution of free script. You can use, modify and/ or
-# redistribute the script under the terms of honor
-#
-# As a counterpart to the access to the source code and rights to copy,
-# modify and redistribute granted by the honor, users are provided only
-# with a limited warranty and the script's author, the holder of the
-# economic rights, and the successive licensors have only limited
-# liability.
-#
-# In this respect, the user's attention is drawn to the risks associated
-# with loading, using, modifying and/or developing or reproducing the
-# script by the user in light of its specific status of free software,
-# that may mean that it is complicated to manipulate, and that also
-# therefore means that it is reserved for developers and experienced
-# professionals having in-depth computer knowledge. Users are therefore
-# encouraged to load and test the script's suitability as regards their
-# requirements in conditions enabling the security of their systems and/or
-# data to be ensured and, more generally, to use and operate it in the
-# same conditions as regards security.
-#
-# The fact that you are presently reading this means that you have
-# had knowledge of the rules and accepted them.
-
-#!/usr/bin/python
-# -*- coding:utf8 -*-
-
-# pyvista library import
-import pyvista as pv
-# operating system import
-import os
-from scipy import misc
-from mpl_toolkits import mplot3d
-from matplotlib import pyplot
-from matplotlib import pyplot as plt
-import pyvista
-# ~ from bio2mslib.inout.inout import Read_data as RD
-cell_center = False
-file_parameters = False
-elevation = False
-# intercative plotting
-# ~ pl.ion()
-
-# Test folder list
-test_list = ["SMAT",\
- ]
-
-
-# file path
-file_path = os.getcwd()+os.sep+"data"
-
-# file path
-result_path = os.getcwd()+os.sep+"results"
-
-if os.path.isdir(result_path) == False :
- os.mkdir(result_path)
-
-
-name = 'Surface'
-# post processing loop
-for i,m in enumerate(test_list) :
-
- # TRA filename
- filename = m + ".stl"
-
- tata = pv.read(file_path+os.sep+filename)
-
-
-#This command provides an array, we decide the parameters
-tata['value'] = tata.points[:,1]#Value give us the coordninates of eqch point
-# tata['value'] = tata.points[:,2]
-
-tata.plot(cpos='xy', cmap='plasma', pbr=True, metallic=1.0, roughness=0.3,
- zoom=0.7, text='SMATed surface',return_cpos=False, hidden_line_removal= True, anti_aliasing=True)
-# tata.plot_boundaries(line_width = 5)
-tata_filtered= tata.plot_curvature(curv_type='gaussian', smooth_shading=True,
- clim=[0, 1])
-tata.save('tata_filtered.ply')
-Gaus = tata.get_array('Gaussian Curvature')
-print(Gaus)
-
-#Locate the arrays inside the PolyData
-print(tata.array_names)
-#printing the array founded and saving it as a tuple in a variable
-choc = tata.get_array('Normals')
-tata.save('tata.vtk')
-# print(choc)
-#Data range, min,max given
-# tata_r = tata.get_data_range()
-
-#Edges showing
-# tata.plot_boundaries(line_width=5)
-# choc= choc.plot_curvature(curv_type='gaussian', smooth_shading=True,
-# clim=[0, 1])
-
-#Make a plane figure with edges planed, erased the edges due to the high aglomeration
-# projected = tata.project_points_to_plane()
-# projected.plot(show_edges=False, line_width=0.3)
-
-if file_parameters==True:
- cells = tata.n_cells
- points = tata.n_points
- bounds = tata.bounds
- arrays = tata.n_arrays
-
- print(tata.n_cells)
- print(tata.n_points)
- print(tata.bounds)
- print(tata.n_arrays)
- print(tata.area)
-
-if cell_center==True:
- mesh = tata
- mesh.point_data.clear()
- centers = mesh.cell_centers()
- pl = pyvista.Plotter()
- actor = pl.add_mesh(mesh, show_edges=False)
- actor = pl.add_points(centers, render_points_as_spheres=True,
- color='red', point_size=10)
- pl.show()
-
-if elevation ==True:
- tata_elv = tata.elevation()
- print(tata_elv)
- tata_elv.plot(smooth_shading=True)
-# Calculate de distance of entitites from a plane in the middle, doesnt stays in the middle the plane
-# plane = pv.Plane()
-# _ = tata.compute_implicit_distance(plane, inplace=True)
-# dist = tata['implicit_distance']
-# type(dist)
-# pl = pv.Plotter()
-# _ = pl.add_mesh(tata, scalars='implicit_distance', cmap='bwr')
-# _ = pl.add_mesh(plane, color='w', style='wireframe')
-# pl.show()
-# merged = tata.merge(plane)
-# merged.plot(style='wireframe',color='tan')
-# ow = tata.overwrite(plane)
-# merged.plot(style='wireframe',color='tan')
-
-# aso= tata.get_array_association('Normals')
-# print(aso)
-
-#Interpolation of our data in a mesh
-# pdata = pyvista.PolyData(tata)
-# plane = pyvista.Plane()
-# plane.clear_data()
-# plane = plane.interpolate(pdata, sharpness=3)
-# pl = pyvista.Plotter()
-# _ = pl.add_mesh(pdata, render_points_as_spheres=True, point_size=50)
-# _ = pl.add_mesh(plane, style='wireframe', line_width=5)
-# pl.show()
-
-# Normal ploting
-# tata.plot_normals(mag=0.1,faces=False, show_edges=False)
\ No newline at end of file