Guofeng Pan
Guofeng Pan
I am also this problem,please solve.thank you very much!
你解决这个问题了吗?
在现有环境下编译一下opencv,我也遇到过类似问题,与opencv有关。
用双目相机采集的红外和可见光图像,用标定的方法只能保证IR和RGB水平方向像素对齐,但视差与目标与相机距离有关,很难消除;对于此问题,您有什么建议吗?谢谢。考虑到可见光很暗,红外清晰或相反情况的对齐?
问题原因:np.array转换时,成员长度不一致导致转换失败,参考 # points = np.array([np.arange(row) + xmins[i] for i, row in enumerate(bounds[1::2])]) / filterscale 以上通过下面替代 temp_list = [np.arange(row) + xmins[i] for i, row in enumerate(bounds[1::2])] narry = np.zeros([len(temp_list),len(max(temp_list,key = lambda...
我做了如下修改,此处不报错,可视化效果正常 修改如下行数: # loc, conf = self.net.forward(self.net.getUnconnectedOutLayersNames()) conf,loc = self.net.forward(self.net.getUnconnectedOutLayersNames()) 输出反了
I am a student of university,in order to study.Which dataset do you use when pre-train? Can you share pretrain_train.list and pretrain_val.list with us? or can you share the method of...