SirMwan

> > > First, thank you for your code sharing, it helps me a lot. > > To make your code even better, I would like to suggest much faster...

> > > > First, thank you for your code sharing, it helps me a lot. > > To make your code even better, I would like to suggest much...

> > > Dear @SirMwan, > > I think the changes you have made ( .data to .item() ) have no problem. > I didn't change that part though, because...

Then, when I am trying to visualize images with bounding boxes after prepare.py (preprocessing):- 1. Some images displayed well, means images with the bounding boxes at the nodules, 2. But...

> > > Dear @SirMwan , > > I checked it as below : > > #1 ~ #2: > I changed the previous line as well: sizelim = config['sizelim']...

> > > @naoe1999 @MHansy > > The problem of class imbalance is actually taken care of in the loss function. Even though the target lables may contain the ratio...

@DishaDRao did you refer at the point below? This is from data.py file from wentaozhu repository. class LabelMapping(object): def __init__(self, config, phase): self.stride = np.array(config['stride']) self.num_neg = int(config['num_neg']) self.th_neg =...

> So, through Wentazo's codes, the loss error that you're facing must be due to be something else. Probably your dataset/training method. May be you should look into their issues...

> > > > So, through Wentazo's codes, the loss error that you're facing must be due to be something else. Probably your dataset/training method. May be you should look...

In the data file also, ... else: imgs = np.load(self.filenames[idx]) bboxes = self.sample_bboxes[idx] nz, nh, nw = imgs.shape[1:] pz = int(np.ceil(float(nz) / self.stride)) * self.stride ph = int(np.ceil(float(nh) / self.stride))...