0016 209 49.5% 0.222 69.1% 87.1% 57.3% 87.9% 57.9% 11 6 4 106 228 1206 2863
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0018 322 76.4% 0.154 88.2% 84.7% 91.9% 85.4% 92.6% 5 12 0 14 214 100 1354
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0019 1059 46.5% 0.255 66.2% 74.5% 59.6% 79.4% 63.5% 41 20 9 204 1154 2559 7015
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0020 837 61.9% 0.156 75.9% 81.0% 71.5% 85.2% 75.1% 12 37 10 43 718 1367 5497
====== AVERAGE ====== num_frames mota motp idf1 ... num_fragmentations num_false_positives num_misses num_objects 0015 376.0 0.334949 0.204488 0.643691 ... 45.0 650.0 441.0 1651.0 0016 209.0 0.495285 0.222401 0.691238 ... 106.0 228.0 1206.0 2863.0 0018 322.0 0.764402 0.154179 0.881644 ... 14.0 214.0 100.0 1354.0 0019 1059.0 0.464861 0.254835 0.661861 ... 204.0 1154.0 2559.0 7015.0 0020 837.0 0.618519 0.155854 0.759401 ... 43.0 718.0 1367.0 5497.0 AVG 560.6 0.535603 0.198351 0.727567 ... 82.4 592.8 1134.6 3676.0
[6 rows x 15 columns] OPTUNA:MOTA=0.535603 IDF1=0.727567
swinb OG
===== 0015 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0015 376 53.2% 0.241 71.4% 73.9% 69.0% 78.8% 73.6% 9 7 3 45 327 436 1651
===== 0016 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0016 209 54.5% 0.287 70.9% 82.1% 62.4% 86.2% 65.6% 16 6 2 92 300 986 2863
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0018 325 77.2% 0.156 85.8% 85.3% 86.3% 88.5% 89.5% 9 6 0 11 158 142 1354
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0019 1059 41.6% 0.287 61.5% 63.8% 59.3% 72.8% 67.6% 52 20 6 226 1774 2271 7015
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0020 837 46.8% 0.191 62.1% 84.8% 48.9% 90.7% 52.4% 13 9 34 40 294 2618 5497
====== AVERAGE ====== num_frames mota motp idf1 ... num_fragmentations num_false_positives num_misses num_objects 0015 376.0 0.532405 0.241231 0.714062 ... 45.0 327.0 436.0 1651.0 0016 209.0 0.545232 0.287235 0.709127 ... 92.0 300.0 986.0 2863.0 0018 325.0 0.771787 0.155697 0.858297 ... 11.0 158.0 142.0 1354.0 0019 1059.0 0.415966 0.286874 0.614941 ... 226.0 1774.0 2271.0 7015.0 0020 837.0 0.467892 0.190529 0.620531 ... 40.0 294.0 2618.0 5497.0 AVG 561.2 0.546656 0.232313 0.703391 ... 82.8 570.6 1290.6 3676.0
[6 rows x 15 columns] OPTUNA:MOTA=0.546656 IDF1=0.703391
swinb epoch 50
===== 0015 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0015 376 33.4% 0.201 65.7% 62.0% 69.9% 65.0% 73.3% 7 6 4 43 651 441 1651
===== 0016 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0016 209 49.5% 0.223 69.1% 87.0% 57.3% 87.8% 57.8% 10 6 4 106 230 1207 2863
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0018 322 77.0% 0.155 88.4% 85.1% 92.0% 85.8% 92.8% 5 14 0 14 208 98 1354
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0019 1059 46.4% 0.255 66.2% 74.5% 59.6% 79.4% 63.5% 47 20 9 205 1159 2557 7015
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML FM FP FN num_objects 0020 837 62.0% 0.156 76.0% 81.0% 71.5% 85.2% 75.3% 12 37 10 47 718 1357 5497
====== AVERAGE ====== num_frames mota motp idf1 ... num_fragmentations num_false_positives num_misses num_objects 0015 376.0 0.334343 0.201248 0.657175 ... 43.0 651.0 441.0 1651.0 0016 209.0 0.494586 0.222865 0.690672 ... 106.0 230.0 1207.0 2863.0 0018 322.0 0.770310 0.154527 0.884315 ... 14.0 208.0 98.0 1354.0 0019 1059.0 0.463578 0.255168 0.662445 ... 205.0 1159.0 2557.0 7015.0 0020 837.0 0.620338 0.156127 0.759633 ... 47.0 718.0 1357.0 5497.0 AVG 560.6 0.536631 0.197987 0.730848 ... 83.0 593.2 1132.0 3676.0
[6 rows x 15 columns] OPTUNA:MOTA=0.536631 IDF1=0.730848
====== AVERAGE ====== num_frames mota motp idf1 ... num_fragmentations num_false_positives num_misses num_objects MOT17-02-DPM 600.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 9393.000000 9393.000000 MOT17-04-DPM 1050.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 39821.000000 39821.000000 MOT17-05-DPM 837.000000 0.494651 0.22225 0.62279 ... 25.000000 502.000000 1892.000000 4767.000000 MOT17-09-DPM 525.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 3745.000000 3745.000000 MOT17-10-DPM 654.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 10560.000000 10560.000000 MOT17-11-DPM 900.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 7518.000000 7518.000000 MOT17-13-DPM 750.000000 0.000000 NaN 0.00000 ... 0.000000 0.000000 10024.000000 10024.000000 AVG 759.428571 0.070664 0.22225 0.08897 ... 3.571429 71.714286 11850.428571 12261.142857
[8 rows x 15 columns]
OPTUNA:MOTA=0.070664 IDF1=0.088970
====== AVERAGE ====== num_frames mota motp idf1 ... num_fragmentations num_false_positives num_misses num_objects MOT17-02-DPM 600.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 9393.000000 9393.000000 MOT17-04-DPM 1050.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 39821.000000 39821.000000 MOT17-05-DPM 837.000000 0.604993 0.230755 0.706483 ... 49.0 946.000000 886.000000 4767.000000 MOT17-09-DPM 525.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 3745.000000 3745.000000 MOT17-10-DPM 654.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 10560.000000 10560.000000 MOT17-11-DPM 900.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 7518.000000 7518.000000 MOT17-13-DPM 750.000000 0.000000 NaN 0.000000 ... 0.0 0.000000 10024.000000 10024.000000 AVG 759.428571 0.086428 0.230755 0.100926 ... 7.0 135.142857 11706.714286 12261.142857
[8 rows x 15 columns]
OPTUNA:MOTA=0.086428 IDF1=0.100926
python3 eval_visdrone.py --config_file config/GroundingDINO_SwinB_cfg.py --checkpoint /isis/home/hasana3/vlmtest/GroundingDINO/weights/groundingdino_swinb_cogcoor.pth --coco_anno /isis/home/hasana3/vlmtest/GroundingDINO/dataset/visdrone/VisDrone2019-MOT-val/dataset_coco.json --image_root /isis/home/hasana3/vlmtest/GroundingDINO/dataset/visdrone/VisDrone2019-MOT-val
DONE (t=2.67s). IoU metric: bbox Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.371 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.710 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.341 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.370 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.029 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.201 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.490 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.321 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.706
Test: Total time: 0:06:41 (0.1412 s / it) Averaged stats: Accumulating evaluation results... DONE (t=2.62s). IoU metric: bbox Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.702 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.325 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.162 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.360 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.027 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.195 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.319 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.695
Accumulating evaluation results... DONE (t=2.77s). IoU metric: bbox Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.304 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.595 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.273 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.078 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.305 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.028 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.192 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.419 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.251 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.418 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.661
Results saved to ./output/results.json
===== uav0000086_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000086_00000_v 464 65.5% 0.244 74.8% 81.2% 69.3% 88.5% 75.5% 33 40 13 27 399 2196 5497 22410 16880
===== uav0000117_02622_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000117_02622_v 349 39.5% 0.235 49.7% 65.9% 39.9% 83.4% 50.5% 150 25 82 27 266 1528 7529 15224 7545
===== uav0000137_00458_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000137_00458_v 233 47.8% 0.220 60.7% 68.5% 54.6% 80.8% 64.3% 272 56 39 65 458 3226 7535 21118 13311
===== uav0000182_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000182_00000_v 363 10.9% 0.247 54.0% 53.6% 54.3% 55.6% 56.2% 28 30 30 26 128 4270 4157 9494 5309
===== uav0000305_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000305_00000_v 184 52.8% 0.154 73.8% 80.6% 68.2% 81.5% 68.9% 19 22 16 13 41 759 1505 4839 3315
===== uav0000339_00001_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000339_00001_v 275 43.7% 0.226 55.0% 74.2% 43.7% 87.6% 51.6% 60 26 19 20 165 748 4934 10203 5209 ====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches uav0000086_00000_v 464.000000 0.655243 0.244074 0.747899 ... 2196.000000 5497.000000 22410.000000 16880.000000 uav0000117_02622_v 349.000000 0.395231 0.234655 0.496912 ... 1528.000000 7529.000000 15224.000000 7545.000000 uav0000137_00458_v 233.000000 0.477555 0.219680 0.607483 ... 3226.000000 7535.000000 21118.000000 13311.000000 uav0000182_00000_v 363.000000 0.109438 0.247091 0.539553 ... 4270.000000 4157.000000 9494.000000 5309.000000 uav0000305_00000_v 184.000000 0.528208 0.154079 0.738468 ... 759.000000 1505.000000 4839.000000 3315.000000 uav0000339_00001_v 275.000000 0.437224 0.226360 0.550185 ... 748.000000 4934.000000 10203.000000 5209.000000 AVG 311.333333 0.433817 0.220990 0.613417 ... 2121.166667 5192.833333 13881.333333 8594.833333
[7 rows x 17 columns]
OPTUNA:MOTA=0.433817 IDF1=0.613417
✅ Complete! Results saved to: outputs/visdrone_val_2025-11-04_0611
===== uav0000086_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000086_00000_v 464 59.5% 0.240 74.1% 86.5% 64.8% 89.8% 67.2% 21 33 21 26 420 1709 7340 22410 15049
===== uav0000117_02622_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000117_02622_v 349 34.6% 0.224 45.8% 72.0% 33.6% 87.8% 41.0% 106 18 92 24 199 867 8985 15224 6133
===== uav0000137_00458_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000137_00458_v 233 47.8% 0.212 60.0% 73.6% 50.6% 85.5% 58.8% 229 50 44 66 436 2112 8692 21118 12197
===== uav0000182_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000182_00000_v 363 9.6% 0.230 45.3% 54.1% 39.0% 56.7% 40.8% 10 17 41 28 69 2957 5619 9494 3865
===== uav0000305_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000305_00000_v 184 55.6% 0.166 74.9% 84.1% 67.4% 84.9% 68.0% 14 23 16 12 32 587 1547 4839 3278
===== uav0000339_00001_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000339_00001_v 275 38.4% 0.206 50.0% 81.9% 36.0% 94.0% 41.3% 28 21 28 16 107 270 5991 10203 4184
====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches uav0000086_00000_v 464.000000 0.595270 0.239684 0.741024 ... 1709.0 7340.000000 22410.000000 15049.0 uav0000117_02622_v 349.000000 0.345901 0.224216 0.458039 ... 867.0 8985.000000 15224.000000 6133.0 uav0000137_00458_v 233.000000 0.477555 0.212031 0.599899 ... 2112.0 8692.000000 21118.000000 12197.0 uav0000182_00000_v 363.000000 0.095639 0.230224 0.453142 ... 2957.0 5619.000000 9494.000000 3865.0 uav0000305_00000_v 184.000000 0.556107 0.166252 0.748566 ... 587.0 1547.000000 4839.000000 3278.0 uav0000339_00001_v 275.000000 0.383613 0.206180 0.500102 ... 270.0 5991.000000 10203.000000 4184.0 AVG 311.333333 0.409014 0.213098 0.583462 ... 1417.0 6362.333333 13881.333333 7451.0
[7 rows x 17 columns]
OPTUNA:MOTA=0.409014 IDF1=0.583462
✅ Complete! Results saved to: outputs/visdrone_val_2025-11-04_0622
📂 Found 7 GT files and 7 result files
===== uav0000086_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000086_00000_v 464 65.5% 0.244 74.8% 81.2% 69.4% 88.4% 75.5% 32 40 13 27 403 2220 5490 22410 16888
===== uav0000117_02622_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000117_02622_v 349 39.5% 0.235 49.4% 65.4% 39.7% 83.4% 50.6% 156 25 81 28 267 1529 7522 15224 7546
===== uav0000137_00458_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000137_00458_v 233 47.7% 0.220 60.4% 68.0% 54.3% 80.8% 64.5% 309 56 38 66 479 3238 7505 21118 13304
===== uav0000182_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000182_00000_v 363 10.6% 0.247 53.8% 53.4% 54.2% 55.4% 56.2% 28 30 30 26 128 4299 4157 9494 5309
===== uav0000268_05773_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000268_05773_v 978 22.0% 0.129 37.7% 93.5% 23.6% 93.5% 23.6% 1 5 38 7 18 214 9981 13068 3086
===== uav0000305_00000_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000305_00000_v 184 52.7% 0.154 73.8% 80.5% 68.2% 81.3% 68.9% 19 22 16 13 41 765 1505 4839 3315
===== uav0000339_00001_v ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches uav0000339_00001_v 275 43.8% 0.226 55.1% 74.3% 43.8% 87.7% 51.7% 67 26 19 20 165 742 4930 10203 5206
====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches uav0000086_00000_v 464.000000 0.654529 0.244114 0.748303 ... 2220.000000 5490.0 22410.000000 16888.000000 uav0000117_02622_v 349.000000 0.395231 0.234929 0.493723 ... 1529.000000 7522.0 15224.000000 7546.000000 uav0000137_00458_v 233.000000 0.476655 0.219823 0.603650 ... 3238.000000 7505.0 21118.000000 13304.000000 uav0000182_00000_v 363.000000 0.106383 0.247132 0.537689 ... 4299.000000 4157.0 9494.000000 5309.000000 uav0000268_05773_v 978.000000 0.219773 0.129350 0.377054 ... 214.000000 9981.0 13068.000000 3086.000000 uav0000305_00000_v 184.000000 0.526968 0.154061 0.737973 ... 765.000000 1505.0 4839.000000 3315.000000 uav0000339_00001_v 275.000000 0.437518 0.226401 0.551239 ... 742.000000 4930.0 10203.000000 5206.000000 AVG 406.571429 0.402437 0.207973 0.578519 ... 1858.142857 5870.0 13765.142857 7807.714286
[8 rows x 17 columns]
OPTUNA:MOTA=0.402437 IDF1=0.578519
✅ Complete! Results saved to: outputs/visdrone_val_2025-11-04_0657
📂 Found 5 GT files and 5 result files
===== 0015 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0015 376 51.4% 0.249 71.0% 71.6% 70.4% 76.7% 75.5% 21 7 3 10 52 378 404 1651 1226
===== 0016 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0016 209 41.5% 0.266 58.4% 74.6% 48.0% 82.8% 53.3% 23 4 4 15 78 316 1337 2863 1503
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0018 325 71.9% 0.149 84.6% 86.9% 82.4% 88.1% 83.5% 4 5 0 13 8 153 223 1354 1127
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0019 1059 31.9% 0.288 57.7% 58.7% 56.8% 66.9% 64.8% 59 14 5 50 216 2249 2472 7015 4484
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0020 837 47.3% 0.192 66.3% 76.0% 58.7% 80.7% 62.4% 11 15 30 68 42 818 2068 5497 3418
====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches 0015 376.0 0.513628 0.249234 0.710012 ... 378.0 404.0 1651.0 1226.0 0016 209.0 0.414600 0.265821 0.584485 ... 316.0 1337.0 2863.0 1503.0 0018 325.0 0.719350 0.149185 0.846096 ... 153.0 223.0 1354.0 1127.0 0019 1059.0 0.318603 0.288179 0.577388 ... 2249.0 2472.0 7015.0 4484.0 0020 837.0 0.472985 0.192182 0.662767 ... 818.0 2068.0 5497.0 3418.0 AVG 561.2 0.487833 0.228920 0.676149 ... 782.8 1300.8 3676.0 2351.6
[6 rows x 17 columns] OPTUNA:MOTA=0.487833 IDF1=0.676149
python3 eval/eval_new.py --images /isis/home/hasana3/vlmtest/GroundingDINO/dataset/kitti/validation/image_02 --labels /isis/home/hasana3/vlmtest/GroundingDINO/dataset/kitti/validation/label_02 --devices 0,1 --jobs 2 --fp16 --tracker clip --use_clip_in_low --use_clip_in_unconf --lambda_weight 0.25 --text_sim_thresh 0.1 --frame_rate 10 --weights /isis/home/hasana3/vlmtest/GroundingDINO/weights/swinb_light_visdrone_ft_best.pth
📂 Found 5 GT files and 5 result files
===== 0015 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0015 376 38.9% 0.251 66.4% 62.7% 70.6% 68.2% 76.7% 33 8 3 9 67 591 385 1651 1233
===== 0016 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0016 209 42.8% 0.264 62.7% 78.2% 52.3% 82.6% 55.2% 23 4 4 15 105 333 1282 2863 1558
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0018 327 71.0% 0.152 83.7% 83.7% 83.8% 85.9% 86.0% 11 6 0 12 18 191 190 1354 1153
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0019 1059 30.2% 0.289 56.7% 56.1% 57.4% 65.3% 66.8% 69 14 2 53 265 2494 2331 7015 4615
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0020 837 48.8% 0.198 67.3% 74.8% 61.3% 79.9% 65.5% 16 19 28 66 79 903 1897 5497 3584
====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches 0015 376.0 0.388855 0.250645 0.664196 ... 591.0 385.0 1651.0 1233.0 0016 209.0 0.427873 0.264290 0.626753 ... 333.0 1282.0 2863.0 1558.0 0018 327.0 0.710487 0.152141 0.837209 ... 191.0 190.0 1354.0 1153.0 0019 1059.0 0.302352 0.289460 0.567040 ... 2494.0 2331.0 7015.0 4615.0 0020 837.0 0.487721 0.197722 0.673400 ... 903.0 1897.0 5497.0 3584.0 AVG 561.6 0.463458 0.230852 0.673720 ... 902.4 1217.0 3676.0 2428.6
[6 rows x 17 columns] OPTUNA:MOTA=0.463458 IDF1=0.673720
📂 Found 5 GT files and 5 result files
===== 0015 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0015 376 -20.7% 0.252 53.4% 42.2% 72.6% 44.4% 76.3% 22 6 3 11 56 1580 391 1651 1238
===== 0016 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0016 209 45.6% 0.270 62.5% 72.3% 55.0% 80.6% 61.3% 28 8 3 12 110 423 1107 2863 1728
===== 0018 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0018 336 69.8% 0.156 83.4% 80.6% 86.4% 82.7% 88.6% 4 7 0 11 9 251 154 1354 1196
===== 0019 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0019 1059 16.7% 0.304 54.2% 50.3% 58.7% 57.6% 67.2% 71 14 2 53 281 3472 2302 7015 4642
===== 0020 ===== num_frames MOTA MOTP IDF1 IDP IDR Prcn Rcll IDs MT ML PT FM FP FN num_objects num_matches 0020 837 50.8% 0.206 70.3% 74.1% 66.9% 78.3% 70.7% 12 24 30 59 54 1080 1610 5497 3875
====== AVERAGE ====== num_frames mota motp idf1 ... num_false_positives num_misses num_objects num_matches 0015 376.0 -0.207147 0.251644 0.533511 ... 1580.0 391.0 1651.0 1238.0 0016 209.0 0.455816 0.270276 0.624752 ... 423.0 1107.0 2863.0 1728.0 0018 336.0 0.697932 0.155930 0.834225 ... 251.0 154.0 1354.0 1196.0 0019 1059.0 0.166785 0.303633 0.541579 ... 3472.0 2302.0 7015.0 4642.0 0020 837.0 0.508459 0.206068 0.703364 ... 1080.0 1610.0 5497.0 3875.0 AVG 563.4 0.324369 0.237510 0.647486 ... 1361.2 1112.8 3676.0 2535.8
[6 rows x 17 columns] OPTUNA:MOTA=0.324369 IDF1=0.647486