4. Examples of Use¶
2022 \(\tau\)-Herculids video sequence, cluster of 34 meteors.
Download a video sequence containing meteors here. These video sequence comes from IMCCE (Paris’s Observatory) and is the result of an airborne observation of the 2022 \(\tau\)-Herculids. More information about the 2022 \(\tau\)-Herculids is available here.
4.1. Meteors detection¶
./bin/fmdt-detect --vid-in-path ./2022_05_31_tauh_34_meteors.mp4
Write tracks and bounding boxes into text files for fmdt-visu and
fmdt-check:
./bin/fmdt-detect --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 --trk-bb-path ./out_detect_bb.txt > ./out_detect_tracks.txt
4.2. Visualization¶
Visualization WITHOUT ground truth:
./bin/fmdt-visu --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 --trk-path ./out_detect_tracks.txt --trk-bb-path ./out_detect_bb.txt --vid-out-path out_visu.mp4
Visualization WITH ground truth:
./bin/fmdt-visu --vid-in-path ./2022_05_31_tauh_34_meteors.mp4 --trk-path ./out_detect_tracks.txt --trk-bb-path ./out_detect_bb.txt --gt-path ../validation/2022_05_31_tauh_34_meteors.txt --vid-out-path out_visu.mp4
2022 \(\tau\)-Herculids video sequence, cluster of 34 meteors with highlighted detection.
4.3. Offline checking¶
Use fmdt-check with the following arguments:
./bin/fmdt-check --trk-path ./out_detect_tracks.txt --gt-path ../validation/2022_05_31_tauh_34_meteors.txt
# --------------------
# | ----* |
# | --* FMDT-CHECK --* |
# | -------* |
# --------------------
#
# Parameters:
# -----------
# * trk-path = ./out_detect_tracks.txt
# * gt-path = ../validation/2022_05_31_tauh_34_meteors.txt
#
# The program is running...
# ---------------||--------------||---------------||--------
# GT Object || Hits || GT Frames || Tracks
# ---------------||--------------||---------------||--------
# -----|---------||--------|-----||-------|-------||--------
# Id | Type || Detect | GT || Start | Stop || #
# -----|---------||--------|-----||-------|-------||--------
1 | meteor || 7 | 7 || 102 | 108 || 1
2 | meteor || 17 | 16 || 110 | 125 || 1
3 | meteor || 8 | 9 || 111 | 119 || 1
4 | meteor || 3 | 3 || 121 | 123 || 1
5 | meteor || 3 | 3 || 127 | 129 || 1
6 | meteor || 3 | 3 || 129 | 131 || 1
7 | meteor || 9 | 10 || 133 | 142 || 1
8 | meteor || 10 | 10 || 134 | 143 || 1
9 | meteor || 4 | 4 || 134 | 137 || 1
10 | meteor || 3 | 4 || 135 | 138 || 1
11 | meteor || 6 | 10 || 137 | 146 || 1
12 | meteor || 4 | 4 || 139 | 142 || 1
13 | meteor || 11 | 11 || 140 | 150 || 1
14 | meteor || 4 | 4 || 146 | 149 || 1
15 | meteor || 3 | 3 || 156 | 158 || 1
16 | meteor || 10 | 10 || 156 | 165 || 1
17 | meteor || 6 | 6 || 157 | 162 || 1
18 | meteor || 4 | 4 || 160 | 163 || 1
19 | meteor || 4 | 4 || 164 | 167 || 1
20 | meteor || 3 | 3 || 167 | 169 || 1
21 | meteor || 5 | 5 || 171 | 175 || 1
22 | meteor || 7 | 7 || 174 | 180 || 1
23 | meteor || 8 | 8 || 178 | 185 || 1
24 | meteor || 11 | 11 || 179 | 189 || 1
25 | meteor || 3 | 3 || 179 | 181 || 1
26 | meteor || 5 | 5 || 180 | 184 || 1
27 | meteor || 7 | 7 || 183 | 189 || 1
28 | meteor || 4 | 4 || 194 | 197 || 1
29 | meteor || 3 | 4 || 197 | 200 || 1
30 | meteor || 6 | 5 || 199 | 203 || 2
31 | meteor || 6 | 6 || 200 | 205 || 1
32 | meteor || 7 | 7 || 223 | 229 || 1
33 | meteor || 5 | 5 || 224 | 228 || 1
34 | meteor || 4 | 4 || 249 | 252 || 1
Statistics:
- Number of GT objs = ['meteor': 34, 'star': 0, 'noise': 0, 'all': 34]
- Number of tracks = ['meteor': 38, 'star': 0, 'noise': 0, 'all': 38]
- True positives = ['meteor': 35, 'star': 0, 'noise': 0, 'all': 35]
- False positives = ['meteor': 3, 'star': 0, 'noise': 0, 'all': 3]
- True negative = ['meteor': 0, 'star': 38, 'noise': 38, 'all': 76]
- False negative = ['meteor': 0, 'star': 0, 'noise': 0, 'all': 0]
- tracking rate = ['meteor': 0.95, 'star': nan, 'noise': nan, 'all': 0.95]
# End of the program, exiting.
