York1996OutLook
York1996OutLook
eps = 0.0001 result=abab >= abap-eps and abap >= 0-eps and adad >= adap-eps and adap >= 0-eps # print(result) return result i also get Car AP(Average Precision)@0.70, 0.70, 0.70:...
because of the gt and detection yaw angle shoud at least 0.1% error。after generate gt_yaw_samll_change i got: Car AP(Average Precision)@0.70, 0.70, 0.70: bbox AP:100.00, 100.00, 100.00 bev AP:100.00, 100.00, 100.00...
@ @ @anshulpaigwar for instance ,if the gt ry=3.01 ,you should add a small number to it,let ry==3.01001......and do this to all label. if you dont understand,you can add my...
you can download it from kitti official website ------------------ 原始邮件 ------------------ 发件人: "yangruonan-xwx"
if you use rcnn_offline mode,you should specify the rcnn_training_feature_dir and rcnn_training_roi_dir.
on my vs2019,i got the same error,are you settled this problem.now i use win10/ubuntu18 double system,in ubuntu this problem not happened
how many time do you use?
no disk space left?
BTW, how come your recall for RPN is as high as 0.77? What is your setup for training RPN?
@happynear Hi, I think that the model provided by author was trained on the RCNN stage not RPN stage. Could you tell me how to extract the RPN features using...