TubeWidget.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 5 15:53:16 2019
@author: pavel
"""
"""
Qt wrapper/container class that handles all the top level events and maintains the
methods necessary to use the QT signals and slots API.
"""
from pyqtgraph.Qt import QtCore, QtGui, QtWidgets
from TubeCanvas import TubeDraw
import numpy as np
#import trimesh as tm
DEBUG = False
class TubeWidget(QtGui.QWidget):
sigUpdate = QtCore.pyqtSignal(float, float, float)
#Initializes the QT wrapper class.
def __init__(self):
super(TubeWidget, self).__init__()
box = QtGui.QVBoxLayout(self)
self.resize(500,500)
self.setLayout(box)
self.canvas = TubeDraw()
#self.canvas.create_native()
box.addWidget(self.canvas.native)
self.camera = [0,0,0]
self.down = False
self.canvas.events.mouse_press.connect(self.on_mouse_press)
self.canvas.events.mouse_release.connect(self.on_mouse_release)
self.canvas.events.mouse_move.connect(self.on_mouse_move)
self.canvas.events.mouse_wheel.connect(self.on_mouse_wheel)
#self.show()
#Handles the mouse release event
def on_mouse_release(self, event):
self.down=False
self.sendCameraInfo()
#Handles the mouse move event
def on_mouse_move(self, event):
if self.down:
self.sendCameraInfo()
#Handles the mouse press events
def on_mouse_press(self, event):
self.down = True
if event.button == 2:
menu = QtWidgets.QMenu(self)
NS = menu.addAction('Export Model')
action = menu.exec_(event.native.globalPos())
if action == NS:
self.save_stl_mesh()
#Handles the mouse wheel event
def on_mouse_wheel(self, event):
self.sendCameraInfo()
#controls the emit function of the QT class to send a signal to the slot
#located in the other window.
def sendCameraInfo(self):
#self.view = self.canvas.view
self.camera = self.canvas.camera
#print("stuff", self.view[3, 0], self.view[3, 1], self.view[3, 2])
if DEBUG:
print("stuff", self.camera[0], self.camera[1], self.camera[2])
self.sigUpdate.emit(self.camera[0], self.camera[1], self.camera[2])
"""
Function to receive the signal with the information necessary to visualize
specific fibers only. With the rest of them being minimized.
"""
@QtCore.pyqtSlot(list)
def select(self, x):
self.canvas.select_edges(x)
# for e in x:
# if e in self.canvas.edge_dict:
# print(self.canvas.edge_dict[e])
# elif (e[1], e[0]) in self.canvas.edge_dict:
# print(self.canvas.edge_dict[(e[1], e[0])])
print("got signal", x)
"""
Initialization method that connects the slot to the function that handles
the information being sent.
"""
def connect(self, signal_object):
signal_object.select.connect(self.select)
def save_stl_mesh(self):
triangles = self.canvas.triangle_data
caps = self.canvas.cap_data
points = self.canvas.cylinder_data['a_position']
colors = self.canvas.cylinder_data['a_fg_color']
normals = self.canvas.cylinder_data['a_normal']
mesh = tm.Trimesh(vertices=points, faces=np.append(triangles, caps, axis=0),
vertex_colors=colors, vertex_normals=normals)
mesh.export('with_caps.obj')
mesh.export('with_caps.ply')