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* Skip GSD and size filtering without altitude

* Update files

* Skip GSD and size filtering without altitude
This commit is contained in:
Roman Meshko
2026-04-23 21:01:25 +03:00
committed by GitHub
parent 00164d9e54
commit 911da5cb1c
12 changed files with 121 additions and 39 deletions
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_docs/00_problem/input_data/expected_results/image_different_types_expected.csv
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center_x,center_y,width,height,label,confidence_min
0.104737,0.375955,0.154999,0.144996,Truck,0.73
0.576021,0.728599,0.1495,0.142923,Truck,0.83
1 center_x center_y width height label confidence_min
2 0.104737 0.375955 0.154999 0.144996 Truck 0.73
3 0.576021 0.728599 0.1495 0.142923 Truck 0.83
_docs/00_problem/input_data/expected_results/image_large_expected.csv
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@@ -1 +1,4 @@
center_x,center_y,width,height,label,confidence_min
0.214701,0.770089,0.274945,0.28434,ArmorVehicle,0.73
0.588816,0.581807,0.269273,0.209632,ArmorVehicle,0.49
0.314031,0.56274,0.039824,0.060367,MilitaryMan,0.32
1 center_x center_y width height label confidence_min
2 0.214701 0.770089 0.274945 0.28434 ArmorVehicle 0.73
3 0.588816 0.581807 0.269273 0.209632 ArmorVehicle 0.49
4 0.314031 0.56274 0.039824 0.060367 MilitaryMan 0.32
_docs/00_problem/input_data/expected_results/image_small_expected.csv
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@@ -1 +1,2 @@
center_x,center_y,width,height,label,confidence_min
0.465599,0.20807,0.137469,0.194655,ArmorVehicle,0.77
1 center_x center_y width height label confidence_min
2 0.465599 0.20807 0.137469 0.194655 ArmorVehicle 0.77
_docs/00_problem/input_data/expected_results/results_report.md
+7 -10
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@@ -37,21 +37,18 @@ For videos, the additional field:
### Images
| # | Input File | Description | Expected Result File | Expected Detection Count | Notes |
|---|------------|-------------|---------------------|-------------------------|-------|
| 1 | `image_small.jpg` | 1280×720 aerial, contains detectable objects | `image_small_expected.csv` | ? | Primary test image for single-frame detection |
| 2 | `image_large.JPG` | 6252×4168 aerial, triggers GSD-based tiling | `image_large_expected.csv` | ? | Coordinates normalized to full image (not tile) |
| 3 | `image_dense01.jpg` | 1280×720 dense scene, many clustered objects | `image_dense01_expected.csv` | ? | Used for dedup and max-detection-cap tests |
| 4 | `image_dense02.jpg` | 1920×1080 dense scene variant | `image_dense02_expected.csv` | ? | Borderline tiling, dedup variant |
| 5 | `image_different_types.jpg` | 900×1600, varied object classes | `image_different_types_expected.csv` | ? | Must contain multiple distinct class labels |
| 6 | `image_empty_scene.jpg` | 1920×1080, no detectable objects | `image_empty_scene_expected.csv` | 0 | CSV has headers only — zero detections expected |
|---|------------|-------------|---------------------|---|-------|
| 1 | `image_small.jpg`| 1280×720 aerial, contains detectable objects| `image_small_expected.csv`| 1 | Primary test image for single-frame detection|
| 2 | `image_large.JPG`| 6252×4168 aerial, triggers GSD-based tiling| `image_large_expected.csv`| 3 | Coordinates normalized to full image (not tile)|
| 3 | `image_different_types.jpg`| 900×1600, varied object classes| `image_different_types_expected.csv`| 2 | Must contain multiple distinct class labels|
| 4 | `image_empty_scene.jpg`| 1920×1080, no detectable objects| `image_empty_scene_expected.csv`| 0 | CSV has headers only — zero detections expected|
### Videos
| # | Input File | Description | Expected Result File | Notes |
|---|------------|-------------|---------------------|-------|
| 7 | `video_test01.mp4` | Standard test video | `video_test01_expected.csv` | Primary async/SSE/video test. List key-frame detections. |
| 8 | `video_1.mp4` | Video variant | `video_1_expected.csv` | Secondary local fixture for resilience and concurrent-style validation. |
| 9 | `video_1_faststart.mp4` | Faststart video variant | `video_1_faststart_expected.csv` | Streaming compatibility variant. Separate long-video overflow fixture is not currently present in local fixtures. |
| 5 | `video_test01.mp4` | Standard test video | `video_test01_expected.csv` | Primary async/SSE/video test. List key-frame detections. |
| 6 | `video_1_faststart.mp4` | Faststart video variant | `video_1_faststart_expected.csv` | Streaming compatibility variant. Separate long-video overflow fixture is not currently present in local fixtures. |
## How to Fill
_docs/00_problem/input_data/expected_results/video_1_faststart_expected.csv
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@@ -1 +1,81 @@
time_sec,center_x,center_y,width,height,label,confidence_min
0,0.289802,0.512695,0.077206,0.072666,ArmorVehicle,0.89
2,0.653329,0.376178,0.078665,0.081241,ArmorVehicle,0.89
4,0.197519,0.416036,0.067097,0.083232,ArmorVehicle,0.83
6,0.276864,0.60931,0.060284,0.066828,ArmorVehicle,0.8
8,0.379446,0.434878,0.071124,0.077504,ArmorVehicle,0.55
10,0.753483,0.198423,0.057173,0.070441,ArmorVehicle,0.72
14,0.956159,0.68494,0.075992,0.034521,Trenches,0.62
30,0.343423,0.763509,0.098184,0.079214,TyreTracks,0.82
32,0.438461,0.687812,0.09794,0.07654,TyreTracks,0.85
41,0.700711,0.590761,0.10644,0.088566,TyreTracks,0.74
47,0.830646,0.762364,0.108269,0.091804,TyreTracks,0.37
47,0.698529,0.00825,0.022697,0.01672,Vehicle,0.34
49,0.349817,0.663337,0.075551,0.061795,TyreTracks,0.77
67,0.846456,0.527966,0.03052,0.058466,Trenches,0.32
69,0.68478,0.514788,0.025761,0.053171,Trenches,0.46
71,0.368416,0.460942,0.030577,0.050027,Trenches,0.78
73,0.177122,0.455578,0.031931,0.048597,Trenches,0.36
87,0.128406,0.138269,0.040148,0.032909,Smoke,0.56
90,0.118965,0.089119,0.037023,0.033037,Smoke,0.32
95,0.570426,0.373717,0.031503,0.021361,Trenches,0.48
108,0.621403,0.45839,0.026638,0.037245,Smoke,0.58
110,0.637573,0.465766,0.027141,0.040499,Smoke,0.58
112,0.610838,0.480663,0.0283,0.041891,Smoke,0.72
114,0.60922,0.486313,0.026929,0.042859,Smoke,0.68
116,0.615395,0.492105,0.028959,0.041361,Smoke,0.67
118,0.612622,0.49208,0.027159,0.039772,Smoke,0.61
120,0.488272,0.653743,0.028969,0.045788,Smoke,0.67
122,0.276008,0.692814,0.061306,0.10955,Smoke,0.74
127,0.5029,0.24006,0.116369,0.208533,Smoke,0.74
130,0.350402,0.278989,0.122529,0.179202,Smoke,0.7
132,0.525031,0.469289,0.103297,0.193989,Smoke,0.48
134,0.475175,0.52287,0.099367,0.178105,Smoke,0.27
136,0.042595,0.458038,0.073769,0.201478,Smoke,0.72
138,0.398975,0.280201,0.132485,0.076752,Smoke,0.3
149,0.115298,0.585385,0.037456,0.030006,Trenches,0.64
149,0.149621,0.602923,0.039252,0.032263,Trenches,0.73
149,0.534584,0.082995,0.03861,0.036615,Trenches,0.51
151,0.363107,0.353294,0.036212,0.030509,Trenches,0.52
151,0.395121,0.377565,0.03571,0.034257,Trenches,0.52
153,0.540678,0.549795,0.04493,0.040794,Trenches,0.55
155,0.124097,0.466852,0.074959,0.051802,Trenches,0.32
163,0.687639,0.261656,0.116238,0.125195,TyreTracks,0.43
168,0.378062,0.769232,0.032526,0.027289,Trenches,0.46
174,0.435846,0.904734,0.03305,0.03245,Trenches,0.27
176,0.942677,0.589411,0.024974,0.052446,Trenches,0.33
181,0.612998,0.232146,0.08565,0.060314,Smoke,0.52
191,0.390291,0.036179,0.054409,0.033613,Trenches,0.39
193,0.413883,0.208317,0.053158,0.031181,Trenches,0.76
193,0.430828,0.171384,0.030674,0.029638,Trenches,0.27
193,0.484856,0.182248,0.04184,0.063353,Trenches,0.65
193,0.491091,0.316695,0.031371,0.024474,Trenches,0.37
195,0.556304,0.101112,0.046918,0.036026,Smoke,0.71
197,0.519331,0.120967,0.044832,0.039692,Smoke,0.67
199,0.176271,0.118214,0.047294,0.053538,Smoke,0.63
202,0.171963,0.138687,0.043301,0.04702,Smoke,0.46
214,0.413986,0.12009,0.050383,0.046863,Smoke,0.5
219,0.364435,0.552301,0.028486,0.0314,ArmorVehicle,0.72
240,0.502753,0.535129,0.036657,0.033246,Trenches,0.32
242,0.019098,0.607661,0.038072,0.024671,Trenches,0.27
242,0.02406,0.680742,0.044204,0.023859,Trenches,0.37
242,0.027672,0.720891,0.033973,0.04163,Trenches,0.65
242,0.041207,0.628713,0.021846,0.044712,Trenches,0.29
242,0.053195,0.682519,0.027647,0.038862,Trenches,0.65
242,0.84993,0.631653,0.046269,0.042584,Trenches,0.47
244,0.017405,0.7017,0.034866,0.023287,Trenches,0.35
244,0.018653,0.733875,0.03717,0.025044,Trenches,0.48
244,0.032765,0.621231,0.064777,0.023041,Trenches,0.45
244,0.05303,0.734179,0.034922,0.041688,Trenches,0.7
244,0.070526,0.649712,0.023196,0.061101,Trenches,0.44
244,0.076041,0.69735,0.028326,0.039375,Trenches,0.65
246,0.025853,0.893559,0.051857,0.02183,Trenches,0.33
246,0.055409,0.908165,0.020511,0.040618,Trenches,0.32
252,0.735668,0.309579,0.026179,0.044193,Trenches,0.61
252,0.760952,0.371567,0.026674,0.062061,Trenches,0.52
282,0.566367,0.010329,0.036472,0.020469,Smoke,0.49
284,0.341962,0.011659,0.03561,0.023243,Smoke,0.59
287,0.423856,0.023553,0.03954,0.044283,Smoke,0.42
290,0.397077,0.010032,0.037649,0.019987,Smoke,0.29
292,0.415613,0.011793,0.036875,0.023537,Smoke,0.37
294,0.385953,0.009416,0.037843,0.018655,Smoke,0.39
1 time_sec center_x center_y width height label confidence_min
2 0 0.289802 0.512695 0.077206 0.072666 ArmorVehicle 0.89
3 2 0.653329 0.376178 0.078665 0.081241 ArmorVehicle 0.89
4 4 0.197519 0.416036 0.067097 0.083232 ArmorVehicle 0.83
5 6 0.276864 0.60931 0.060284 0.066828 ArmorVehicle 0.8
6 8 0.379446 0.434878 0.071124 0.077504 ArmorVehicle 0.55
7 10 0.753483 0.198423 0.057173 0.070441 ArmorVehicle 0.72
8 14 0.956159 0.68494 0.075992 0.034521 Trenches 0.62
9 30 0.343423 0.763509 0.098184 0.079214 TyreTracks 0.82
10 32 0.438461 0.687812 0.09794 0.07654 TyreTracks 0.85
11 41 0.700711 0.590761 0.10644 0.088566 TyreTracks 0.74
12 47 0.830646 0.762364 0.108269 0.091804 TyreTracks 0.37
13 47 0.698529 0.00825 0.022697 0.01672 Vehicle 0.34
14 49 0.349817 0.663337 0.075551 0.061795 TyreTracks 0.77
15 67 0.846456 0.527966 0.03052 0.058466 Trenches 0.32
16 69 0.68478 0.514788 0.025761 0.053171 Trenches 0.46
17 71 0.368416 0.460942 0.030577 0.050027 Trenches 0.78
18 73 0.177122 0.455578 0.031931 0.048597 Trenches 0.36
19 87 0.128406 0.138269 0.040148 0.032909 Smoke 0.56
20 90 0.118965 0.089119 0.037023 0.033037 Smoke 0.32
21 95 0.570426 0.373717 0.031503 0.021361 Trenches 0.48
22 108 0.621403 0.45839 0.026638 0.037245 Smoke 0.58
23 110 0.637573 0.465766 0.027141 0.040499 Smoke 0.58
24 112 0.610838 0.480663 0.0283 0.041891 Smoke 0.72
25 114 0.60922 0.486313 0.026929 0.042859 Smoke 0.68
26 116 0.615395 0.492105 0.028959 0.041361 Smoke 0.67
27 118 0.612622 0.49208 0.027159 0.039772 Smoke 0.61
28 120 0.488272 0.653743 0.028969 0.045788 Smoke 0.67
29 122 0.276008 0.692814 0.061306 0.10955 Smoke 0.74
30 127 0.5029 0.24006 0.116369 0.208533 Smoke 0.74
31 130 0.350402 0.278989 0.122529 0.179202 Smoke 0.7
32 132 0.525031 0.469289 0.103297 0.193989 Smoke 0.48
33 134 0.475175 0.52287 0.099367 0.178105 Smoke 0.27
34 136 0.042595 0.458038 0.073769 0.201478 Smoke 0.72
35 138 0.398975 0.280201 0.132485 0.076752 Smoke 0.3
36 149 0.115298 0.585385 0.037456 0.030006 Trenches 0.64
37 149 0.149621 0.602923 0.039252 0.032263 Trenches 0.73
38 149 0.534584 0.082995 0.03861 0.036615 Trenches 0.51
39 151 0.363107 0.353294 0.036212 0.030509 Trenches 0.52
40 151 0.395121 0.377565 0.03571 0.034257 Trenches 0.52
41 153 0.540678 0.549795 0.04493 0.040794 Trenches 0.55
42 155 0.124097 0.466852 0.074959 0.051802 Trenches 0.32
43 163 0.687639 0.261656 0.116238 0.125195 TyreTracks 0.43
44 168 0.378062 0.769232 0.032526 0.027289 Trenches 0.46
45 174 0.435846 0.904734 0.03305 0.03245 Trenches 0.27
46 176 0.942677 0.589411 0.024974 0.052446 Trenches 0.33
47 181 0.612998 0.232146 0.08565 0.060314 Smoke 0.52
48 191 0.390291 0.036179 0.054409 0.033613 Trenches 0.39
49 193 0.413883 0.208317 0.053158 0.031181 Trenches 0.76
50 193 0.430828 0.171384 0.030674 0.029638 Trenches 0.27
51 193 0.484856 0.182248 0.04184 0.063353 Trenches 0.65
52 193 0.491091 0.316695 0.031371 0.024474 Trenches 0.37
53 195 0.556304 0.101112 0.046918 0.036026 Smoke 0.71
54 197 0.519331 0.120967 0.044832 0.039692 Smoke 0.67
55 199 0.176271 0.118214 0.047294 0.053538 Smoke 0.63
56 202 0.171963 0.138687 0.043301 0.04702 Smoke 0.46
57 214 0.413986 0.12009 0.050383 0.046863 Smoke 0.5
58 219 0.364435 0.552301 0.028486 0.0314 ArmorVehicle 0.72
59 240 0.502753 0.535129 0.036657 0.033246 Trenches 0.32
60 242 0.019098 0.607661 0.038072 0.024671 Trenches 0.27
61 242 0.02406 0.680742 0.044204 0.023859 Trenches 0.37
62 242 0.027672 0.720891 0.033973 0.04163 Trenches 0.65
63 242 0.041207 0.628713 0.021846 0.044712 Trenches 0.29
64 242 0.053195 0.682519 0.027647 0.038862 Trenches 0.65
65 242 0.84993 0.631653 0.046269 0.042584 Trenches 0.47
66 244 0.017405 0.7017 0.034866 0.023287 Trenches 0.35
67 244 0.018653 0.733875 0.03717 0.025044 Trenches 0.48
68 244 0.032765 0.621231 0.064777 0.023041 Trenches 0.45
69 244 0.05303 0.734179 0.034922 0.041688 Trenches 0.7
70 244 0.070526 0.649712 0.023196 0.061101 Trenches 0.44
71 244 0.076041 0.69735 0.028326 0.039375 Trenches 0.65
72 246 0.025853 0.893559 0.051857 0.02183 Trenches 0.33
73 246 0.055409 0.908165 0.020511 0.040618 Trenches 0.32
74 252 0.735668 0.309579 0.026179 0.044193 Trenches 0.61
75 252 0.760952 0.371567 0.026674 0.062061 Trenches 0.52
76 282 0.566367 0.010329 0.036472 0.020469 Smoke 0.49
77 284 0.341962 0.011659 0.03561 0.023243 Smoke 0.59
78 287 0.423856 0.023553 0.03954 0.044283 Smoke 0.42
79 290 0.397077 0.010032 0.037649 0.019987 Smoke 0.29
80 292 0.415613 0.011793 0.036875 0.023537 Smoke 0.37
81 294 0.385953 0.009416 0.037843 0.018655 Smoke 0.39
_docs/00_problem/input_data/expected_results/video_test01_expected.csv
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time_sec,center_x,center_y,width,height,label,confidence_min
0,0.289857,0.512138,0.07729,0.072891,ArmorVehicle,0.89
2,0.653617,0.376064,0.078636,0.08118,ArmorVehicle,0.89
4,0.197561,0.416208,0.068112,0.084079,ArmorVehicle,0.85
6,0.27662,0.609538,0.059521,0.067212,ArmorVehicle,0.8
1 time_sec center_x center_y width height label confidence_min
2 0 0.289857 0.512138 0.07729 0.072891 ArmorVehicle 0.89
3 2 0.653617 0.376064 0.078636 0.08118 ArmorVehicle 0.89
4 4 0.197561 0.416208 0.068112 0.084079 ArmorVehicle 0.85
5 6 0.27662 0.609538 0.059521 0.067212 ArmorVehicle 0.8