forked from imldresden/GIAnT
-
Notifications
You must be signed in to change notification settings - Fork 0
/
movement_panel.py
196 lines (164 loc) · 8.38 KB
/
movement_panel.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
# -*- coding: utf-8 -*-
# GIAnT Group Interaction Analysis Toolkit
# Copyright (C) 2017 Interactive Media Lab Dresden
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import math
import copy
import pat_model
import global_values
import vis_panel
from libavg import avg, player, gesture
player.loadPlugin("plots")
class MovementPanel(vis_panel.VisPanel):
PIXELS_PER_SAMPLE = 4
MAX_SMOOTHNESS = 500
def __init__(self, session, vis_params, is_dist_view, parent, **kwargs):
super(MovementPanel, self).__init__("Timeline", vis_params, (60, 25), True, parent=parent, **kwargs)
self.__duration = session.duration
self.__users = session.users
self.__is_dist_view = is_dist_view
self.__user_lines = []
if is_dist_view:
max_width = 1
y_range = [0, 2.4]
label_offset = -2
else:
max_width = (min(self.width, self.height) / 12)
y_range = pat_model.pos_range[0][0], pat_model.pos_range[1][0]
label_offset = 15
for userid in range(session.num_users):
color = vis_params.get_user_color(userid)
self.__user_lines.append(plots.VWLineNode(color=color, maxwidth=max_width, useopacity=not(is_dist_view),
blendmode="add", parent=self._data_div))
self._create_y_axis(data_range=y_range, unit="m", hide_rims=True, label_offset=label_offset, inverted=True)
self._create_x_axis(data_range=[0, session.duration], unit="s")
self.__create_wall_rect()
self._create_data_div()
self.__time_factor = self._data_div.width / vis_params.get_time_duration()
self.__highlight_line = avg.LineNode(color=global_values.COLOR_SECONDARY,
pos1=(0, 0), pos2=(0, self._data_div.height), opacity=1, parent=self._data_div)
self.__hover_id = self._data_div.subscribe(avg.Node.CURSOR_MOTION, self.__on_hover)
self.__enable_time = True
vis_params.subscribe(vis_params.IS_PLAYING, self.__on_play_pause)
self._data_div.subscribe(avg.Node.MOUSE_WHEEL, self.__on_mouse_wheel)
self.__drag_recognizer = gesture.DragRecognizer(
eventNode=self,
detectedHandler=self.__on_drag_start,
moveHandler=self.__on_drag,
upHandler=self.__on_drag
)
def _update_time(self, vis_params):
interval = vis_params.get_time_interval()
self.__time_min = interval[0]
self.__time_factor = self._data_div.width / vis_params.get_time_duration()
self.__create_lines(vis_params)
# update position of pinned highlight line and highlight line marker
highlight_xpos = self.__time_to_xpos(self._vis_params.highlight_time)
if highlight_xpos > self.width or highlight_xpos < 0:
self.__highlight_line.opacity = 0
else:
self.__highlight_line.opacity = 1
self.__highlight_line.pos1 = (highlight_xpos, self.__highlight_line.pos1[1])
self.__highlight_line.pos2 = (highlight_xpos, self.__highlight_line.pos2[1])
for i, user_line in enumerate(self.__user_lines):
user_line.active = vis_params.get_user_visible(i)
self._x_axis.hide_rims = not(math.fabs(vis_params.get_time_duration() - self.__duration) < 0.0001)
self._x_axis.update(interval[0], interval[1])
self._update_grid()
def __on_play_pause(self, playing):
self.__enable_time = not playing
def __on_mouse_wheel(self, event):
if self.__enable_time:
rel_pos = self._data_div.getRelPos(event.pos)
pos_fraction = rel_pos[0]/self._data_div.width
if event.motion.y > 0:
self._vis_params.zoom_in_at(pos_fraction)
else:
self._vis_params.zoom_out_at(pos_fraction)
def __create_lines(self, vis_params):
time_start = self.__xpos_to_time(0)
time_end = self.__xpos_to_time(self._data_div.width)
smoothness = self.__calc_smoothness(vis_params.get_smoothness_factor(), time_end-time_start)
pos_range = list(copy.deepcopy(pat_model.pos_range))
if self.__is_dist_view:
pos_range[0][2] = 0
pos_range[1][2] = 2.4
x_extent = float(pos_range[1][0] - pos_range[0][0])
y_extent = float(pos_range[1][2] - pos_range[0][2])
vis_height = self._data_div.height
for i, user in enumerate(self.__users):
if vis_params.get_user_visible(i):
points = []
dists = []
for cur_sample_x in range(0, int(self._data_div.width), self.PIXELS_PER_SAMPLE):
cur_time = self.__xpos_to_time(cur_sample_x)
head_position_averaged = user.getHeadPosAvg(cur_time, smoothness)
norm_x = (head_position_averaged[0] - pos_range[0][0]) / x_extent
norm_z = (head_position_averaged[2] - pos_range[0][2]) / y_extent
if self.__is_dist_view:
vis_y = (1 - norm_z) * vis_height
dists.append(2)
else:
vis_y = (1 - norm_x) * vis_height
dists.append(norm_z)
points.append((cur_sample_x, vis_y))
userline = self.__user_lines[i]
userline.setValues(points, dists)
touches = user.getTouches(time_start, time_end)
touches_x = [self.__time_to_xpos(touch.time) for touch in touches]
touches_width = [touch.duration*self.__time_factor for touch in touches]
userline.setHighlights(touches_x, touches_width)
def __create_wall_rect(self):
if self.__is_dist_view:
pos = avg.Point2D(0.5, self._data_div.height-16.5)
size = avg.Point2D(50, 16)
avg.RectNode(pos=pos, size=size, fillcolor=global_values.COLOR_DARK_GREY, fillopacity=1, parent=self)
avg.WordsNode(pos=pos+(25,0), text="WALL", fontsize=12, alignment="center", parent=self)
else:
y_min = self._y_axis.value_to_pixel(pat_model.wall_width)
y_max = self._y_axis.value_to_pixel(0)
pos = avg.Point2D(40.5, y_min+0.5)
size = avg.Point2D(16, y_max-y_min)
avg.RectNode(pos=pos, size=size, fillcolor=global_values.COLOR_DARK_GREY, fillopacity=1, parent=self)
avg.WordsNode(pos=(31,(y_max-y_min)/2+15), angle=-math.pi/2, text="WALL", fontsize=12, alignment="center",
parent=self)
def __on_hover(self, event=None):
"""
Moves the highlight line along the vertical mouse position.
"""
if self.__enable_time:
rel_pos = self._data_div.getRelPos(event.pos)
self._vis_params.highlight_time = self.__xpos_to_time(rel_pos.x)
self._vis_params.notify()
def __on_drag_start(self):
self.__drag_start_interval = self._vis_params.get_time_interval()
def __on_drag(self, offset):
time_change = offset.x/self.__time_factor
start = self.__drag_start_interval[0]
end = self.__drag_start_interval[1]
if start - time_change < 0:
time_change = start
if end - time_change > self.__duration:
time_change = end - self.__duration
self._vis_params.set_time_interval((start-time_change, end-time_change))
def __xpos_to_time(self, x):
return x / self.__time_factor + self._vis_params.get_time_interval()[0]
def __time_to_xpos(self, t):
return (float(t)-self._vis_params.get_time_interval()[0]) * self.__time_factor
def __calc_smoothness(self, smoothness_factor, time_range):
smoothness = int((time_range / self._vis_params.get_time_interval()[1]) * self.MAX_SMOOTHNESS * smoothness_factor)
if smoothness < 1:
smoothness = 1
return smoothness