From 77dce00fa840567b96a4b38cbc40a5d654c91305 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Mon, 16 Sep 2019 19:39:54 +0200 Subject: [PATCH] updates --- README.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 90579cab..6011e979 100755 --- a/README.md +++ b/README.md @@ -148,7 +148,7 @@ Success: converted 'weights/yolov3-spp.pt' to 'converted.weights' | 320 | 416 | 608 --- | --- | --- | --- `YOLOv3` | 51.8 (51.5) | 55.4 (55.3) | 58.2 (57.9) -`YOLOv3-SPP` | 52.4 | 56.5 | 60.7 (60.6) +`YOLOv3-SPP` | 52.4 | 56.8 | 60.7 (60.6) `YOLOv3-tiny` | 29.0 | 32.9 (33.1) | 35.5 ```bash @@ -156,7 +156,7 @@ python3 test.py --save-json --img-size 608 Namespace(batch_size=16, cfg='cfg/yolov3-spp.cfg', conf_thres=0.001, data='data/coco.data', img_size=608, iou_thres=0.5, nms_thres=0.5, save_json=True, weights='weights/yolov3-spp.weights') Using CUDA device0 _CudaDeviceProperties(name='Tesla T4', total_memory=15079MB) Class Images Targets P R mAP F1: 100% 313/313 [07:40<00:00, 2.34s/it] - all 5e+03 3.58e+04 0.117 0.788 0.595 0.199 + all 5e+03 3.58e+04 0.119 0.788 0.594 0.201 Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.367 <--- Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.607 <--- Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.387 @@ -174,19 +174,19 @@ python3 test.py --save-json --img-size 416 Namespace(batch_size=16, cfg='cfg/yolov3-spp.cfg', conf_thres=0.001, data='data/coco.data', img_size=416, iou_thres=0.5, nms_thres=0.5, save_json=True, weights='weights/yolov3-spp.weights') Using CUDA device0 _CudaDeviceProperties(name='Tesla T4', total_memory=15079MB) Class Images Targets P R mAP F1: 100% 313/313 [07:01<00:00, 1.41s/it] - all 5e+03 3.58e+04 0.105 0.746 0.554 0.18 - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.336 <--- - Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.565 <--- + all 5e+03 3.58e+04 0.107 0.749 0.557 0.182 + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.337 <--- + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.568 <--- Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.350 - Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.151 - Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.361 - Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.494 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.281 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.433 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.459 - Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.256 - Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.495 - Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.622 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.152 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.359 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.496 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.279 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.432 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.460 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.257 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.494 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.623 ``` # Citation