Comments (2)
zdxy
commented on May 24, 2024
I have solved the problem.it has something to do with the anaconda environment.
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nthhiep
commented on May 24, 2024
Hi, I have the same problem. I would like to know how you finally handle this problem? I also modified the default_hyper_params "recall_k" in pyretri/evaluate/evaluator/evaluators_impl/overall.py. It works well in Pycharm. However, there is no effect when runing from terminal and it still show out the original recall_k rates [1, 2, 4, 8] .
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Related Issues (20)
- Err when running single_index.py HOT 1
- Whether to continue to train own datasets
- feature extraction issue for vgg model HOT 3
- I do not understand the usage of this parameter in oxford.yaml... HOT 2
- Will you continue to update this project？
- How to output confidence
- can we train it for custom retrieval task?
- unable to loop over dataloder. HOT 1
- use extract_feature.py extract indoor dataset feature.Model and state_dict portion miss match.Is that right? HOT 2
- MAP
- MAP for oxford is low HOT 1
- _pickle.UnpicklingError: invalid load key, '\xfe' HOT 1
- Custom data config setting
- UnicodeDecodeError while running python setup.py install HOT 1
- AssertionError at statement 'assert name in registry' in utils\builder.py HOT 1
- No feature extraction, no error messages
- make_data_json error query dataset HOT 1
- AttributeError: 'numpy.ndarray' object has no attribute 'pop' HOT 1
- Feature Extraction in Specific Layer
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