-
In the source code `train_placesCNN.py`, can someone explain me how the values at
```
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229…
-
Hi @mihaidusmanu
I am currently following the steps in README to theD2net training. However, I encounter an error during the Tuning step while running the preprocess_undistorted_megadepth.sh.
Und…
-
From Pierre in the Discord:
> Hey Daniel in the TF Developer Certificate course you cover the ImageDataGenerator quite a bit, also for augmenting data. On udemy a few people already pointed out tha…
-
All the preprocessing steps are finished and didn't cause any problem. But while training nnUNet, I came across the problem which says,
```
File "/home/shirshak/FracSegNet/.venv/lib/python3.10/si…
-
This is just a follow-up of
https://github.com/keras-team/keras-cv/issues/165#issuecomment-1083502165
@qlzh727 What do you think about adding an extra parameter to the base class for jit_compile?
…
bhack updated
3 months ago
-
Hello,
I'm faced with the following issue:
```
package java.lang {
class Throwable {
+ getMessage(): String
+ getLocalizedMessage(): String
}
class StackTraceElement {
+ getClass…
-
original code :
```
img = ori_img.astype(np.float)/255.
img = cv2.resize(img, self.size)
img = torch.from_numpy(img).float().permute(2,0,1).unsqueeze(0)
img = img.to(self.device)
with torch.no_g…
-
Dataset loading and preprocessing:
```
img = cv2.imread(path.join(self.img_dir, self.files[i] + self.img_ext))
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
mask = cv2.imread(path.join(self.mask_dir,…
-
I tried to run the preprocessing notebooks on example data from Marco Grillo (Leica 20x organoid dataset). The mipping ran successfully (the expected folders are produced with mipped images), but the …
-
I am trying to use scimap (the latest version) on a dataset with 200 images previously segmented with stardist. The intensity range is different as in the MCMICRO pipeline, but the segmentation result…