Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updates

This commit is contained in:
Glenn Jocher 2020-03-08 13:20:31 -07:00
parent 23389da9ec
commit 0037254bf2
1 changed files with 4 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -155,11 +155,12 @@ YOLOv3-tiny<br>YOLOv3<br>YOLOv3-SPP<br>**[YOLOv3-SPP-ultralytics](https://drive.
```bash ```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='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='weights/yolov3-spp-ultralytics.pt') 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='weights/yolov3-spp-ultralytics.pt')
Using CUDA device0 _CudaDeviceProperties(name='Tesla V100-SXM2-16GB', total_memory=16130MB) Using CUDA device0 _CudaDeviceProperties(name='Tesla V100-SXM2-16GB', total_memory=16130MB)
Class Images Targets P R mAP@0.5 F1: 100%|█████| 157/157 [02:46<00:00, 1.06s/it] Class Images Targets P R mAP@0.5 F1: 100%|█████| 157/157 [02:46<00:00, 1.06s/it]
all 5e+03 3.51e+04 0.822 0.433 0.611 0.551 all 5e+03 3.51e+04 0.822 0.433 0.611 0.551
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.419
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.618 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.618
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.448 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.448
@ -172,6 +173,8 @@ Using CUDA device0 _CudaDeviceProperties(name='Tesla V100-SXM2-16GB', total_memo
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.440
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.649 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.649
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735
Speed: 6.6/1.6/8.2 ms inference/NMS/total per 608x608 image at batch-size 32
``` ```
# Reproduce Our Results # Reproduce Our Results