Closed anruoxi123 closed 5 years ago
The results of both tests did not produce an image, but the.txt file did.
Is it the new data or from LUNA16?
It is LUNA16. I just deleted part of the data folder of the test data set on the basis of the original program. I found that running the frocwrtdetpepchluna16.py file generated the.txt.png.csv file was incorrect,
But there is no error in the running process. What is the problem?
You must use all the test data. Otherwise, it considers the nodules in other part of test data as missing nodule. Maybe it is the reason for low FROC.
When I run the test part of the code, if I test all the data, the program will be stuck in some data, but the GPU display is running all the time.
So after I deleted the data of the test section, I did not have this problem.
So, is the program stuck because of GPU memory?
I only used two gpus.
Try to use bigger detection threshold
Ok, then I am training again. Thank you very much!
Is this threshold size limit?
I went from negative 3 to negative 8, and it's still stuck,
Can I change it to -20?
-2, -1, or 0. Please read our paper for details. Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classification, WACV 2018.
Ok, thank you very much!
Hello, teacher.
I run before the test, in part due to insufficient memory, I use a total of three figures, run frocwrtdetpepchluna16. Py and noduleCADEvaluationLUNA16 py document gets a result;
Recently, I added all the data, and ran the detection part with ten data again. Running the two files above, I got a result.
Oddly, the results of these two runs are exactly the same. What's causing this?
Thanks for comment!