daijifeng001 / MNC

Instance-aware Semantic Segmentation via Multi-task Network Cascades
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change the number of classes #50

Closed xialuxi closed 7 years ago

xialuxi commented 7 years ago

I0325 12:54:42.795264 6120 solver.cpp:245] Train net output #11: rpn_loss_bbox = 0.0137722 ( 1 = 0.0137722 loss) I0325 12:54:42.795266 6120 solver.cpp:245] Train net output #12: seg_cls_loss = 0.137927 ( 1 = 0.137927 loss) I0325 12:54:42.795269 6120 solver.cpp:245] Train net output #13: seg_cls_loss_ext = 0.541152 (* 1 = 0.541152 loss) I0325 12:54:42.795272 6120 sgd_solver.cpp:106] Iteration 10, lr = 0.0001 Traceback (most recent call last): File "/home/dl/work/MNC/tools/train_net.py", line 97, in _solver.train_model(args.max_iters) File "/home/dl/work/MNC/tools/../lib/caffeWrapper/SolverWrapper.py", line 138, in train_model self.snapshot() File "/home/dl/work/MNC/tools/../lib/caffeWrapper/SolverWrapper.py", line 92, in snapshot self.bbox_stds[:, np.newaxis]) ValueError: operands could not be broadcast together with shapes (84,8192) (8,1)