Dai wenxin

Results 34 comments of Dai wenxin

when I run the demo.py,there is a problem,could you help me?????? Loaded network /home/xmpu234/Documents/FPN-caffe_1/data/faster_rcnn_models/fpn_iter_25000.caffemodel Traceback (most recent call last): File "/home/xmpu234/Documents/FPN-caffe_1/tools/demo.py", line 142, in _, _= im_detect(net, im) File "/home/xmpu234/Documents/FPN-caffe_1/tools/../lib/fast_rcnn/test.py",...

when I run the demo.py,there is a problem,could you help me?????? Loaded network /home/xmpu234/Documents/FPN-caffe_1/data/faster_rcnn_models/fpn_iter_25000.caffemodel Traceback (most recent call last): File "/home/xmpu234/Documents/FPN-caffe_1/tools/demo.py", line 142, in _, _= im_detect(net, im) File "/home/xmpu234/Documents/FPN-caffe_1/tools/../lib/fast_rcnn/test.py",...

作者您好, 请问训练集像素大小为100*100, 目标大小为40*40 ,请问 训练时如何设置anchor大小?? 谢谢作者啦

您好,请问为什么我训练自己的模型会怎么慢速度? 前面几百次迭代,每20次只需要 34S 左右, 到了2000次左右时, 每20次需要 5-6分钟 为什么会那么慢????? 我的显卡是 GPU 1080Ti 的 12G运行内存

您好,请问为什么我训练自己的模型会怎么慢速度? 前面几百次迭代,每20次只需要 34S 左右, 到了2000次左右时, 每20次需要 5-6分钟 为什么会那么慢????? 我的显卡是 GPU 1080Ti 的 12G运行内存

> 你好,unsky。我在做小目标检测的实验,之前用你的旧代码(VGG16模型)召回率可以达到90%左右,用新的代码(RESNET50 sharedrcnn)召回率只有70%左右。尝试改了scales为[4,8]和FPN/lib/fast_rcnn/config.py里的一些参数,但是效果都不理想,能不能给一些建议,谢谢! 您好,我也是做小目标检测,您好,请问为什么我训练自己的模型会怎么慢速度? 前面几百次迭代,每20次只需要 34S 左右, 到了2000次左右时, 每20次需要 5-6分钟 为什么会那么慢????? 我的显卡是 GPU 1080Ti 的 12G运行内存

when I run the demo.py,there is a problem,could you help me?????? Loaded network /home/xmpu234/Documents/FPN-caffe_1/data/faster_rcnn_models/fpn_iter_25000.caffemodel Traceback (most recent call last): File "/home/xmpu234/Documents/FPN-caffe_1/tools/demo.py", line 142, in _, _= im_detect(net, im) File "/home/xmpu234/Documents/FPN-caffe_1/tools/../lib/fast_rcnn/test.py",...

@anorthman there is this layer named “rpn_rois/p2”

when I run the demo.py,there is a problem,could you help me?????? Traceback (most recent call last): File "/home/xmpu234/Documents/FPN_1/tools/demo.py", line 144, in _, _= im_detect(net, im) File "/home/xmpu234/Documents/FPN_1/tools/../lib/fast_rcnn/test.py", line 298, in...