gangadhar-p / nucleidetectron Goto Github PK

Now caffe2 is built in Pytorch.

Appreciate for your code and doc. I have two issues:

1. When I run: chmod +x bin/nuclei/train.sh && ./bin/nuclei/train.sh -e 1_aug_gray_0_5_0 -v 1_aug_gray_0_5_0 -g 1 &. The code blocked. I just have two gpus. According to the config, should I use 8 gpus for this task?

2. Where is the training data augment processing code? I can't find relative content :)

Sorry to bother you.

Hi,
Getting below error message and not able find out the exact solution.

Error message:

ValueError Traceback (most recent call last)
/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
509 as_ref=input_arg.is_ref,
--> 510 preferred_dtype=default_dtype)
511 except TypeError as err:

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx)
1106 if ret is None:
-> 1107 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1108

/miniconda/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in _autopacking_conversion_function(v, dtype, name, as_ref)
959 return NotImplemented
--> 960 return _autopacking_helper(v, inferred_dtype, name or "packed")
961

/miniconda/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in _autopacking_helper(list_or_tuple, dtype, name)
921 elems_as_tensors.append(
--> 922 constant_op.constant(elem, dtype=dtype, name=str(i)))
923 return gen_array_ops.pack(elems_as_tensors, name=scope)

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name, verify_shape)
195 tensor_util.make_tensor_proto(
--> 196 value, dtype=dtype, shape=shape, verify_shape=verify_shape))
197 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape)
423 if values is None:
--> 424 raise ValueError("None values not supported.")
425 # if dtype is provided, forces numpy array to be the type

ValueError: None values not supported.

During handling of the above exception, another exception occurred:

thanks for your great works, i am new in mask-rcnn, as we all know , the caffe2 has been put into pytorch,can you tell me how to use this project without docker? I will appreciate it if you tell me the specific steps,thanks you again