File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/train_net.py", line 112, in
max_iters=args.max_iters)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/fast_rcnn/train.py", line 205, in train_net
model_paths = sw.train_model(max_iters)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/fast_rcnn/train.py", line 146, in train_model
self.solver.step(1)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/rpn/proposal_target_layer.py", line 51, in forward
(all_rois, np.hstack((zeros, gt_boxes[:, :-1])))
File "/usr/local/lib/python2.7/dist-packages/numpy/core/shape_base.py", line 288, in hstack
return _nx.concatenate(arrs, 1)
ValueError: all the input arrays must have same number of dimensions
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/train_net.py", line 112, in
max_iters=args.max_iters)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/fast_rcnn/train.py", line 205, in train_net
model_paths = sw.train_model(max_iters)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/fast_rcnn/train.py", line 146, in train_model
self.solver.step(1)
File "/media/hp208/4t/yangxueyuan/R-FCN/py-R-FCN/tools/../lib/rpn/proposal_target_layer.py", line 51, in forward
(all_rois, np.hstack((zeros, gt_boxes[:, :-1])))
File "/usr/local/lib/python2.7/dist-packages/numpy/core/shape_base.py", line 288, in hstack
return _nx.concatenate(arrs, 1)
ValueError: all the input arrays must have same number of dimensions