PoseDatasets
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TypeError: '>' not supported between instances of 'dict_values' and 'int‘
python mpii_dataset.py have error as:
mpii_dataset.py:79: FutureWarning: elementwise != comparison failed and returning scalar instead; this will raise an error or perform elementwise comparison in the future.
if annopoint != []:
mpii_dataset.py:102: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use array.size > 0
to check that an array is not empty.
for v in annopoint['is_visible'][0]]
Traceback (most recent call last):
File "mpii_dataset.py", line 192, in
you can change the line 50-51 to the following
if vis is not None and type(vis) is dict:
vis = np.array(list(vis.values()))