widerface数据集上训练了15000次，测试ap全是-1.00

[shpswd]

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = -1.000 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = -1.000 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = -1.000 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 ] = -1.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = -1.000 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 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000 2020-06-21 21:31:47,448-INFO: box ap: -1.000 2020-06-21 21:31:47,448-INFO: Best test ap: 0.0, in iter: 0 2020-06-21 21:31:54,487-INFO: Train iter: 85020, all_loss: 1.343320, ciou_loss: 0.422198, conf_loss: 0.921049, prob_loss: 0.000073, eta: 99 days, 14:04:02 2020-06-21 21:32:01,028-INFO: Train iter: 85040, all_loss: 23.520687, ciou_loss: 9.526450, conf_loss: 13.994050, prob_loss: 0.000187, eta: 2 days, 17:30:05 2020-06-21 21:32:08,001-INFO: Train iter: 85060, all_loss: 0.913662, ciou_loss: 0.542059, conf_loss: 0.371578, prob_loss: 0.000024, eta: 2 days, 20:36:34