yangfly / sfd.gluoncv Goto Github PK

names, maps = validate(net, val_data, ctx, eval_metric)

mxnet.base.MXNetError: Error in operator sfd0_sfdanchorgenerator0_slice_like0: [18:11:18] src/operator/tensor/./matrix_op-inl.h:1292: Check failed: ishape[axis] >= from_shape[axis] (160 vs. 170) Slice axis 2 with size 170exceeds limit of input with size 160

when i train the model，I get this error:

File "D:\Users\admin\Anaconda3\Lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "D:\Users\admin\Anaconda3\Lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "D:\Users\admin\Anaconda3\Lib\site-packages\mxnet\gluon\data\dataloader.py", line 184, in worker_loop
batch = batchify_fn([dataset[i] for i in samples])
File "D:\Users\admin\Anaconda3\Lib\site-packages\mxnet\gluon\data\dataloader.py", line 184, in
batch = batchify_fn([dataset[i] for i in samples])
File "D:\Users\admin\Anaconda3\Lib\site-packages\mxnet\gluon\data\dataset.py", line 128, in getitem
return self._fn(*item)
File "E:\gc\sfd.gluoncv\sfd\data\transform.py", line 91, in call
self._anchors, None, gt_bboxes, gt_ids)
File "D:\Users\admin\Anaconda3\Lib\site-packages\mxnet\gluon\block.py", line 542, in call
out = self.forward(*args)
File "E:\gc\sfd.gluoncv\sfd\nn\anchor.py", line 140, in forward
matches = self._matcher(ious)
File "D:\Users\admin\Anaconda3\Lib\site-packages\mxnet\gluon\block.py", line 542, in call
out = self.forward(*args)
File "E:\gc\sfd.gluoncv\sfd\nn\matcher.py", line 30, in forward
mobula.func.compensate(x.shape[0], gtids, ious, match,
AttributeError: module 'mobula.func' has no attribute 'compensate'

RT