TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

[handale88]

Hello!
I am testing with your code, however I got dtype typeerror when training with shell scripts..
Is there any solution that I can fix this?

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File "/home/seungheelee/download/caffe/scripts/dataset.py", line 169, in get_example
image, joints = self.apply_rotate(image, joints, ignore_joints)
File "/home/seungheelee/download/caffe/scripts/dataset.py", line 133, in apply_rotate
joints = ((rot_mat.dot((joints - joint_center).T)).T) + joint_center
TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

[StandWisdom]

Hi,I also face this problem. when I want to run "/tests/test_dataset.py" to test the trained model.
here is the error, How can i fix it? relly eager

ERROR: test_apply_rotate (main.TestPoseDataset)

Traceback (most recent call last):
File "tests/test_dataset.py", line 152, in test_apply_rotate
image, joints = self.dataset.apply_rotate(image, joints, ig)
File "scripts/dataset.py", line 134, in apply_rotate
a = rot_mat.dot((joints - joint_center).T).T
TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

======================================================================
ERROR: test_flic (main.TestPoseDataset)

Traceback (most recent call last):
File "tests/test_dataset.py", line 190, in test_flic
image, joints, ignore_joints = dataset.get_example(i)
File "scripts/dataset.py", line 175, in get_example
image, joints = self.apply_rotate(image, joints, ignore_joints)
File "scripts/dataset.py", line 134, in apply_rotate
a = rot_mat.dot((joints - joint_center).T).T
TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

[StandWisdom]

Is Python's version problem? My python version is 2.7.x

[StandWisdom]

@handale88 I have solved this problem. This problem result from '/script/detaset.py' line:133
"rot_mat = np.matrix('{} {}; {} {}'.format(c, -s, s, c))" , U can use "print(rot_mat)" to find the reason .rot_mat is one matrix.(>>'u'.{0 0.0,-0.0 1.0})

I rewrite this code to " rot_mat = np.array([[1.0,0.0],[-0.0,1.0]]) " ,and then the program works correctly!

[glitterzhang]

solved by referring blue-yonder/tsfresh#485 (comment)