Comments (7)
@HuangLian126 那就不要做裁剪,但是看整个图没有意义,边框已经框定位置了
from grad-cam.pytorch.
@HuangLian126 错了,rcnn层的特征只有proposal的部分,没有整个图像的;如果想要整个图像的就要使用rpn层的特征做Grad-CAM了。
from grad-cam.pytorch.
@HuangLian126 错了,rcnn层的特征只有proposal的部分,没有整个图像的;如果想要整个图像的就要使用rpn层的特征做Grad-CAM了。
那请问该如何修改成rpn层呢?
from grad-cam.pytorch.
@zht-ttt 可以用backbone的最后一个卷积层做,实现上更简单,参考分类的Grad-CAM即可
from grad-cam.pytorch.
@zht-ttt 可以用backbone的最后一个卷积层做,实现上更简单,参考分类的Grad-CAM即可
你好,能讲讲具体如何修改吗?我是小白,目前还在学习这一块
from grad-cam.pytorch.
@zht-ttt 可以用backbone的最后一个卷积层做,实现上更简单,参考分类的Grad-CAM即可
你好,能讲讲具体如何修改吗?我是小白,目前还在学习这一块
demo里面的layer name自定义改一下
from grad-cam.pytorch.
@zht-ttt用backbone的最后一个可以层做,实现上更简单,参考分类的Grad-CAM发酵
你好,能讲具体怎么修改吗?我是小白,现在还在学习这块
demo里面的layer name自定义改一下
你好,请问你修改成功了吗?我最近也在学习fasterRcnn的可视化方法
from grad-cam.pytorch.
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