RODNEY PETRUS BALANDONG

If you would allow me to rephrase Paul question. Say we have different data-set with the following setting EEG channels: C3_A2 and C4_1A. These two channel were refered as EEG(sec)...

**Pcode1** The modification should work and been tested In run_sample, change channels to ` channels = {'EEG': ('EEG(SEC)', 'EEG'), 'EMG': 'EMG', 'EOG': 'EOG(L)'} ` Under def check_channels change the following...

SImon, may I know the following for-loop is for what. Im unable to modify the following, because I do not know under what circumstances it will triger the for-loop. This...

Yes you are right. The for-loop was for class list. But with my proposed workaround, we can omit this for loop, since we declared multiple EEG channels as a set

Seem not the best performance you have there. Are you using the pre-trained parameter?.

Hi @Mountchicken , may I know what do mean by draw a targets on the original image? Appreciate if you can clarify further.

Hi @Mountchicken I am using `labelme` to annotate these images. `labelme` allow user to view the bbox that has been defined. In essence, this may rule out the possibility of...

Hi @gaotongxiao ,thanks for the suggestion. But, I am not so clear about what you are suggestion here. By model output, do you mean the ROI (identified area of interest)...

Thanks for the `test.py`, it is indeed really helpful @gaotongxiao . As I mentioned above, I purposely using the same training dataset for validation. Unfortunately, even using `model` of the...

Hi @gaotongxiao and @Mountchicken , unfortunately, this issue also happen when using the `mask_rcnn_r50_fpn_160e_ctw1500_20210219-96497a76.pth` as starting `pth` and using the `toy dataset` for validataion and training dataset. I notice, the...