Instead of utilizing the model prediction, I tried using a ground truth as both a ground truth and a prediction value. In this case, according to the theory all error should be zero because the predicted and ground truth values are exactly the same. The tool, however, generates some values under Missed error, which is unexpected. I attempted to modify the code by commenting out missed errors, background errors, and other errors. Nonetheless, the tool indicates that there are some Missed errors.
Hi, First thanks for developing this tool.
Instead of utilizing the model prediction, I tried using a ground truth as both a ground truth and a prediction value. In this case, according to the theory all error should be zero because the predicted and ground truth values are exactly the same. The tool, however, generates some values under Missed error, which is unexpected. I attempted to modify the code by commenting out missed errors, background errors, and other errors. Nonetheless, the tool indicates that there are some Missed errors.
Experiment 1 : predicted values = ground truth![image](https://user-images.githubusercontent.com/11851498/156422414-e01be26e-a6e9-46eb-8b3b-938de1fe7906.png)
Experiment 1 :predicted values = model prediction![image](https://user-images.githubusercontent.com/11851498/156422454-37d4bbd4-48e9-4cb7-b4c2-981d5a9ba1da.png)
Your explanation is highly appreciated.
Thanks