Closed hengliang8 closed 4 years ago
Did you train your model?
In the readme, "After training and test are done, use the ./evaluationScript/frocwrtdetpepchluna16.py to validate the epoch used for test. After that, collect all the 10 folds' prediction, use ./evaluationScript/noduleCADEvaluationLUNA16.py to get the FROC for all 10 folds. You can directly run noduleCADEvaluationLUNA16.py, and get the performance in the paper."
thanks for you help, I find the solution. I fill in the wrong path in 'result'.It should be the path of test result.
@hengliang8 hello, I meet the same question, but I don't understand your meaning. test results? can you help me to explain it in detail? thank you very much
thanks for you help, I find the solution. I fill in the wrong path in 'result'.It should be the path of test result.
How can you solve this issue? I encounter it. Thanks.
Traceback (most recent call last): File "/media/omnisky/1F4F46694A801839/zhl/DeepLung-master/evaluationScript/frocwrtdetpepchluna16.py", line 164, in
getfroc(detp, eps)
File "/media/omnisky/1F4F46694A801839/zhl/DeepLung-master/evaluationScript/frocwrtdetpepchluna16.py", line 153, in getfroc
froclist = p.map(getfrocvalue, predannofnamalist)
File "/home/omnisky/anaconda3/envs/zhl2/lib/python2.7/multiprocessing/pool.py", line 253, in map
return self.map_async(func, iterable, chunksize).get()
File "/home/omnisky/anaconda3/envs/zhl2/lib/python2.7/multiprocessing/pool.py", line 572, in get
raise self._value
ValueError: Data is not binary and pos_label is not specified
./annotations/annotations.csv
expecting your reply.