bubbliiiing / yolo3-pytorch

这是一个yolo3-pytorch的源码,可以用于训练自己的模型。
MIT License
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get_map results seems weird #193

Open EricZhang1412 opened 3 weeks ago

EricZhang1412 commented 3 weeks ago

loading annotations into memory... Done (t=1.34s) creating index... index created! Loading and preparing results... DONE (t=240.57s) creating index... index created! Running per image evaluation... Evaluate annotation type bbox DONE (t=168.44s). Accumulating evaluation results... DONE (t=153.76s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.001 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.002 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.001 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.003 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.006 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.008 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.001 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.007 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.017 Get map done.

Is there any weirdness about my test results?