Skip to content

fixes image dataset #242

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jun 25, 2021
Merged

fixes image dataset #242

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 8 additions & 8 deletions modules/image_dataset.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -59,11 +59,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"MONAI version: 0.5.3+88.g5d9383e3\n",
"Numpy version: 1.20.3\n",
"Pytorch version: 1.8.1\n",
"MONAI version: 0.5.3+144.geec33b6d\n",
"Numpy version: 1.21.0\n",
"Pytorch version: 1.9.0\n",
"MONAI flags: HAS_EXT = False, USE_COMPILED = False\n",
"MONAI rev id: 5d9383e3a97e1c42a81a7699ced1e52bd05ccb8e\n",
"MONAI rev id: eec33b6ddb987dc6be24ec0ace41bb55cc38a661\n",
"\n",
"Optional dependencies:\n",
"Pytorch Ignite version: 0.4.4\n",
Expand All @@ -72,11 +72,12 @@
"Pillow version: 8.2.0\n",
"Tensorboard version: 2.5.0\n",
"gdown version: 3.13.0\n",
"TorchVision version: 0.9.1\n",
"TorchVision version: 0.10.0\n",
"ITK version: 5.1.2\n",
"tqdm version: 4.60.0\n",
"tqdm version: 4.61.1\n",
"lmdb version: 1.2.1\n",
"psutil version: 5.8.0\n",
"pandas version: 1.2.5\n",
"\n",
"For details about installing the optional dependencies, please visit:\n",
" https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
Expand Down Expand Up @@ -170,8 +171,7 @@
],
"source": [
"class TestCompose(Compose):\n",
" def __call__(self, input_):\n",
" data, meta = input_\n",
" def __call__(self, data, meta):\n",
" data = self.transforms[0](data, meta) # ensure channel first\n",
" data, _, meta[\"affine\"] = self.transforms[1](data, meta[\"affine\"]) # spacing\n",
" if len(self.transforms) == 3:\n",
Expand Down