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Update README.md

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Glenn Jocher 2019-08-18 00:47:52 +02:00 committed by GitHub
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@ -150,8 +150,8 @@ Namespace(batch_size=16, cfg='cfg/yolov3-spp.cfg', conf_thres=0.001, data='data/
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
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=0.50:0.95 | 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
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.208
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.392
@ -168,8 +168,8 @@ Namespace(batch_size=16, cfg='cfg/yolov3-spp.cfg', conf_thres=0.001, data='data/
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 <--
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 <---
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