From b97b88b659a63a0b9a50b0c8ca70c903e9e4579f Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Fri, 21 Feb 2020 17:16:34 -0800 Subject: [PATCH] updates --- README.md | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index 7aa89f1e..7977c7a5 100755 --- a/README.md +++ b/README.md @@ -147,31 +147,31 @@ $ python3 test.py --cfg yolov3-spp.cfg --weights yolov3-spp-ultralytics.pt |Size |COCO mAP
@0.5...0.95 |COCO mAP
@0.5 --- | --- | --- | --- -YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |320 |14.0
28.7
30.5
**36.3** |29.1
51.8
52.3
**55.5** -YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |416 |16.0
31.2
33.9
**39.8** |33.0
55.4
56.9
**59.6** -YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |512 |16.6
32.7
35.6
**41.3** |34.9
57.7
59.5
**61.3** -YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |608 |16.6
33.1
37.0
**41.7** |35.4
58.2
60.7
**61.5** +YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |320 |14.0
28.7
30.5
**36.4** |29.1
51.8
52.3
**55.7** +YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |416 |16.0
31.2
33.9
**40.0** |33.0
55.4
56.9
**60.0** +YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |512 |16.6
32.7
35.6
**41.5** |34.9
57.7
59.5
**61.4** +YOLOv3-tiny
YOLOv3
YOLOv3-SPP
**[YOLOv3-SPP-ultralytics](https://drive.google.com/open?id=1UcR-zVoMs7DH5dj3N1bswkiQTA4dmKF4)** |608 |16.6
33.1
37.0
**41.9** |35.4
58.2
60.7
**61.6** ```bash -$ python3 test.py --cfg yolov3-spp.cfg --weights yolov3-spp-ultralytics.pt --img 608 +$ python3 test.py --cfg yolov3-spp.cfg --weights yolov3-spp-ultralytics.pt --img 608 -Namespace(batch_size=32, cfg='yolov3-spp.cfg', conf_thres=0.001, data='data/coco2014.data', device='', img_size=608, iou_thres=0.6, save_json=True, single_cls=False, task='test', weights='last54.pt') -Using CUDA device0 _CudaDeviceProperties(name='Tesla P100-PCIE-16GB', total_memory=16280MB) +Namespace(batch_size=32, cfg='yolov3-spp.cfg', conf_thres=0.001, data='data/coco2014.data', device='', img_size=608, iou_thres=0.6, save_json=True, single_cls=False, task='test', weights='yolov3-spp-ultralytics.pt') +Using CUDA device0 _CudaDeviceProperties(name='Tesla T4', total_memory=15079MB) - Class Images Targets P R mAP@0.5 F1: 100% 157/157 [04:25<00:00, 1.04it/s] - all 5e+03 3.51e+04 0.0467 0.886 0.607 0.0875 - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.415 - Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.615 - Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.443 - Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.245 - Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.458 - Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.531 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.341 + Class Images Targets P R mAP@0.5 F1: 100% 157/157 [04:25<00:00, 1.01s/it] + all 5e+03 3.51e+04 0.0453 0.885 0.609 0.0852 + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.616 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.448 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.242 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.522 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.337 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.559 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.611 - Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.441 - Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.658 - Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.748 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.436 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.741 ``` # Reproduce Our Results