mirror of
https://github.com/opencv/opencv.git
synced 2024-12-24 00:17:59 +08:00
61410 lines
2.0 MiB
61410 lines
2.0 MiB
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<!-- Soft Cascade for pedestrian detection trained with the OpenCV sft application. -->
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<!-- Training set: INRIA-->
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<!-- Number of octaves: 3-->
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<!-- Pruning method: DBP-->
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<!-- Autor: cuda-geek (https://github.com/cuda-geek)-->
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|
|
<channel>0</channel>
|
|
<rect>
|
|
13 14 2 12</rect></_>
|
|
<_>
|
|
<channel>8</channel>
|
|
<rect>
|
|
10 62 7 1</rect></_>
|
|
<_>
|
|
<channel>9</channel>
|
|
<rect>
|
|
30 33 1 3</rect></_>
|
|
<_>
|
|
<channel>7</channel>
|
|
<rect>
|
|
15 12 2 5</rect></_>
|
|
<_>
|
|
<channel>9</channel>
|
|
<rect>
|
|
17 14 2 38</rect></_>
|
|
<_>
|
|
<channel>5</channel>
|
|
<rect>
|
|
20 17 1 25</rect></_>
|
|
<_>
|
|
<channel>1</channel>
|
|
<rect>
|
|
11 0 5 1</rect></_>
|
|
<_>
|
|
<channel>0</channel>
|
|
<rect>
|
|
19 37 5 23</rect></_>
|
|
<_>
|
|
<channel>7</channel>
|
|
<rect>
|
|
2 5 1 27</rect></_>
|
|
<_>
|
|
<channel>2</channel>
|
|
<rect>
|
|
22 48 1 9</rect></_>
|
|
<_>
|
|
<channel>5</channel>
|
|
<rect>
|
|
18 25 2 13</rect></_>
|
|
<_>
|
|
<channel>3</channel>
|
|
<rect>
|
|
8 11 6 20</rect></_>
|
|
<_>
|
|
<channel>1</channel>
|
|
<rect>
|
|
0 29 27 1</rect></_>
|
|
<_>
|
|
<channel>3</channel>
|
|
<rect>
|
|
15 21 2 9</rect></_>
|
|
<_>
|
|
<channel>2</channel>
|
|
<rect>
|
|
16 37 13 18</rect></_>
|
|
<_>
|
|
<channel>0</channel>
|
|
<rect>
|
|
2 38 3 21</rect></_>
|
|
<_>
|
|
<channel>5</channel>
|
|
<rect>
|
|
14 31 3 21</rect></_>
|
|
<_>
|
|
<channel>4</channel>
|
|
<rect>
|
|
10 8 7 16</rect></_>
|
|
<_>
|
|
<channel>1</channel>
|
|
<rect>
|
|
7 29 21 12</rect></_>
|
|
<_>
|
|
<channel>1</channel>
|
|
<rect>
|
|
25 47 4 14</rect></_></features></_>
|
|
</octaves></first-soft-sascade>
|
|
</opencv_storage>
|