In [1]:
import pandas as pd
In [2]:
labels_df = pd.read_csv("D:\\p_eaglesense\\eaglesense\\data\\topviewkinect\\18\\labels.csv")
In [3]:
labels_df
Out[3]:
frame_id
skeleton_id
activity
orientation
orientation_accurate
0
173
0
-1
0.0
-1
1
174
0
-1
0.0
-1
2
175
0
-1
0.0
-1
3
176
0
-1
0.0
-1
4
177
0
-1
0.0
-1
5
178
0
-1
0.0
-1
6
179
0
-1
0.0
-1
7
180
0
-1
0.0
-1
8
181
0
-1
0.0
-1
9
182
0
-1
0.0
-1
10
183
0
-1
0.0
-1
11
184
0
-1
0.0
-1
12
185
0
-1
0.0
-1
13
186
0
-1
0.0
-1
14
187
0
-1
0.0
-1
15
188
0
-1
0.0
-1
16
189
0
-1
0.0
-1
17
190
0
-1
0.0
-1
18
191
0
-1
68.0
-1
19
192
0
-1
74.0
-1
20
193
0
-1
75.0
-1
21
194
0
-1
120.0
-1
22
195
0
-1
75.0
-1
23
196
0
-1
120.0
-1
24
197
0
-1
110.0
-1
25
198
0
-1
97.0
-1
26
199
0
-1
94.0
-1
27
200
0
-1
83.0
-1
28
201
0
-1
89.0
-1
29
202
0
-1
85.0
-1
...
...
...
...
...
...
2164
2105
0
-1
340.0
-1
2165
2106
0
-1
340.0
-1
2166
2107
0
-1
330.0
-1
2167
2108
0
-1
330.0
-1
2168
2109
0
-1
54.0
-1
2169
2110
0
-1
340.0
-1
2170
2111
0
-1
34.0
-1
2171
2112
0
-1
120.0
-1
2172
2113
0
-1
61.0
-1
2173
2114
0
-1
64.0
-1
2174
2115
0
-1
71.0
-1
2175
2116
0
-1
76.0
-1
2176
2117
0
-1
76.0
-1
2177
2118
0
-1
88.0
-1
2178
2119
0
-1
95.0
-1
2179
2120
0
-1
93.0
-1
2180
2121
0
-1
89.0
-1
2181
2122
0
-1
90.0
-1
2182
2123
0
-1
84.0
-1
2183
2124
0
-1
94.0
-1
2184
2125
0
-1
88.0
-1
2185
2126
0
-1
81.0
-1
2186
2127
0
-1
73.0
-1
2187
2128
0
-1
71.0
-1
2188
2129
0
-1
62.0
-1
2189
2130
0
-1
63.0
-1
2190
2131
0
-1
60.0
-1
2191
2132
0
-1
58.0
-1
2192
2133
0
-1
66.0
-1
2193
2134
0
-1
65.0
-1
2194 rows × 5 columns
In [ ]:
labels_df.set_indexx("frame_id", inplace=True)
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Content source: cjw-charleswu/eaglesense
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