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当使用自定义数据集的时候，评价指标基本全为0，请问如何解决？ #18

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Bradly-s opened this issue Oct 21, 2024 · 0 comments

Bradly-s commented Oct 21, 2024 •

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python main_da.py --hda 1 --cmt --output_dir out

IoU metric: bbox
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.002
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.009
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
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 ] = 0.002
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.010
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.035
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.056
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.057

Bradly-s changed the title ~~when i~~ 当使用自定义数据集的时候，评价指标基本全为0，请问如何解决？

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