When training poly-yolo, the environment is debugged, but this bug will appear in the training. Generally, the picture path is not set or set incorrectly.
solve:
In the simulator_ Absolute path is added in front of each line of image in dataset/simulator-train.txt file, such as:
/home/arl/lc/poly-yolo-master/simulator_ dataset/imgs/img_ r_ 12.png
The validation set is the same as above
Read More:
- AttributeError: ‘NoneType‘ object has no attribute ‘append‘
- Attributeerror: object has no attribute
- AttributeError: type object ‘Image‘ has no attribute ‘open‘
- Attributeerror: ‘bytes’ object has no attribute’ encode ‘
- AttributeError: ‘_io.TextIOWrapper‘ object has no attribute ‘softspace‘
- AttributeError: ‘Tensor‘ object has no attribute ‘_numpy‘
- AttributeError: ‘Settings’ object has no attribute ‘ROOT_URLCONF’
- AttributeError: ‘dict‘ object has no attribute ‘iteritems‘
- AttributeError: ‘PipelinedRDD‘ object has no attribute ‘toDF‘
- Attributeerror: ‘dataframe’ object has no attribute ‘IX’ error
- Solution: attributeerror: type object ‘ioloop’ has no attribute ‘initialized’
- nltk tokenize AttributeError: ‘float‘ object has no attribute ‘lower
- AttributeError: ‘WebDriver‘ object has no attribute ‘w3c‘
- Keras Model AttributeError：’str‘ object has no attribute ’call‘
- AttributeError:‘AxesSubplot’object has no attribute‘bar_label’
- PyTorch – AttributeError: ‘bool‘ object has no attribute ‘sum‘
- Python AttributeError: ‘bool‘ object has no attribute ‘ui‘
- AttributeError: ‘numpy.ndarray‘ object has no attribute ‘softmax‘
- Problem: attributeerror: ‘tensor’ object has no attribute ‘creator’
- Attributeerror: ‘STR’ object has no attribute ‘decode’ solution: the pro test is successful.