Open f5556666 opened 5 years ago
I also occured this problem, have you solved this problem? can you tell me how to solve it? thanks a lot!
I had the same problem, have you solved it? Could you tell me the cause of it and how to solve it. Thank you! @lgldl @f5556666
help, what's wrong with the result?, all -1.000
I have the same question. Do you solve it? Can you help me?
我记得是数据集名字写错了,你可以看看😂 qianhui yang @.*** 签名由 网易邮箱大师 定制 On 05/06/2021 10:49, WXLL579 wrote: help, what's wrong with the result?, all -1.000 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.
I followed the Readme.md to test MSCOCO test2017.I execute the following orders: python test.py CornerNet --testiter 500000 --split testing The output is 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 Can you help me solve the problem,thx!