Problems about JS=1 & DC>1 about image_segmentation

[Yiyiyimu]

The original image looks like this

and the output of image processed and normalized looks like this(save out at validation step)

So it seems not being normalized right? Cause you can find white and black on the same image so they are still range from 0 to 255. It seems weird to me

---

Edit:
Sorry I just find reason on pytorch documentation that it descale from [0,1] to [0, 255] at save_image function. You could add normalize==true to image's output to denormalize from [-1,1] to [0,1] to get not image in original color.
So this is not the reason of my problem, I still don't know why hah

[Yiyiyimu]

DC and JS give possible values when I change evaluation function to (eg. DC)

def get_DC(SR,GT,threshold=0.5):
    # DC : Dice Coefficient
    SR = (SR > threshold).view(-1)
    GT = (GT == torch.max(GT)).view(-1)

    Inter = (SR*GT).sum()
    DC = float(2*Inter)/(float(SR.sum()+GT.sum()) + 1e-6)

    return DC

So basicly just change torch.max() to original array max, maybe there is something wrong here?
When I change all torch.max into max the result look like this

[Training] Acc: 0.9359, SE: 0.0742, SP: 0.9899, PC: 0.0742, F1: 0.0742, JS: 1.0000, DC: 1.7901
[TrainNEW] Acc: 0.9359, SE: 0.0742, SP: 0.9899, PC: 0.0742, F1: 0.0742, JS: 0.1408, DC: 0.2099
[Validation] Acc: 0.9408, SE: 0.1124, SP: 0.9468, PC: 0.1124, F1: 0.1124, JS: 1.0000, DC: 1.3627
[ValidatNEW] Acc: 0.9408, SE: 0.1124, SP: 0.9468, PC: 0.1124, F1: 0.1124, JS: 0.4825, DC: 0.6373

[Yiyiyimu]

Seems the problem is solved, so I'd close this issue. Again, thank you for your contribution!

[CN-zdy]

Hi, @Yiyiyimu
How was the problem solved?
Could you help me?
Thank you very much!

[CN-zdy]

@Yiyiyimu
Could you help me?
In my test, SE & SP would keeps greater than 1.
Can you give me some advice?