guohaoyuan
guohaoyuan
首先很感谢作者的贡献! 因为之前看到的角度都是利用cv2.minAreaRect得到的,范围是(-90,0),位于第一象限。 但是本算法需要的角度是labelImg2得到的,范围(0, 180),位于第一、第四象限,不知道如何转换. 有知道的小伙伴没?
loading all datasets... using 4 threads loading from cache file: cache/coco_trainval2014.pkl No cache file found... loading annotations into memory... Done (t=7.66s) creating index... index created! 82783it [00:23, 3500.57it/s] loading annotations...
python36 cuda80 cudnn7 torch 0.4.0 I've tried to reduce BS and add CUDA () But it didn't work
Thank you for this code, it's amazing! I've been learning about your project recently, but this error occurred at the beginning of the training. I thought the graphics card didn't...
ship R:0.254256272401 P:0.958479943702 ap:0.245356778084 F:0.401900321638 ship R:0.248312385783 P:0.907084468665 ap:0.228256838226 F:0.389892542383 horizontal standard R:0.254256272401 P:0.958479943702 mAP:0.245356778084 F:0.401900321638 rotate standard R:0.248312385783 P:0.907084468665 mAP:0.228256838226 F:0.389892542383 请问,有人做过二分类实验吗?
你好,感谢你的代码,让我学到了许多。 有个问题就是关于图像的head_x,head_y数据的标签,没有找到,需要我们自己标吗?