faster-rcnn错误信息 ： tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [21] rhs shape= [2]
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 1276, in restore
{self.saver_def.filename_tensor_name: save_path})
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
run_metadata)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [21] rhs shape= [2]
[[node save/Assign_517 (defined at G:/jianfeng/project/rubblish_det/faster_rcnn/tf-faster-rcnn-master/tools/demo.py:149) ]]
我的代码来自 https://github.com/endernewton/tf-faster-rcnn
这是由于类别数目不一致，导致的 ；看错误信息倒数第二行，lhs为21类 rhs为2类
解决方法：在demo.py文件中找到下面两行代码，将 "TEST"后的21改为 2 因为我的数据类别是 background+单类别=2
net.create_architecture("TEST", 21,
tag='default', anchor_scales=[8, 16, 32])