2024-07-04 nightly release (311ebaf)

pytorch · Jul 4, 2024 · 1f1690e · 1f1690e
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diff --git a/gallery/others/plot_repurposing_annotations.py b/gallery/others/plot_repurposing_annotations.py
@@ -4,7 +4,7 @@
 =====================================
 
 .. note::
-    Try on `collab <https://colab.research.google.com/github/pytorch/vision/blob/gh-pages/main/_generated_ipynb_notebooks/plot_repurposing_annotations.ipynb>`_
+    Try on `Colab <https://colab.research.google.com/github/pytorch/vision/blob/gh-pages/main/_generated_ipynb_notebooks/plot_repurposing_annotations.ipynb>`_
     or :ref:`go to the end <sphx_glr_download_auto_examples_others_plot_repurposing_annotations.py>` to download the full example code.
 
 The following example illustrates the operations available
@@ -149,8 +149,8 @@ def show(imgs):
 model = fasterrcnn_resnet50_fpn(weights=weights, progress=False)
 print(img.size())
 
-tranforms = weights.transforms()
-img = tranforms(img)
+transforms = weights.transforms()
+img = transforms(img)
 target = {}
 target["boxes"] = boxes
 target["labels"] = labels = torch.ones((masks.size(0),), dtype=torch.int64)

diff --git a/gallery/transforms/plot_transforms_getting_started.py b/gallery/transforms/plot_transforms_getting_started.py
@@ -4,7 +4,7 @@
 ==================================
 
 .. note::
-    Try on `collab <https://colab.research.google.com/github/pytorch/vision/blob/gh-pages/main/_generated_ipynb_notebooks/plot_transforms_getting_started.ipynb>`_
+    Try on `Colab <https://colab.research.google.com/github/pytorch/vision/blob/gh-pages/main/_generated_ipynb_notebooks/plot_transforms_getting_started.ipynb>`_
     or :ref:`go to the end <sphx_glr_download_auto_examples_transforms_plot_transforms_getting_started.py>` to download the full example code.
 
 This example illustrates all of what you need to know to get started with the
@@ -25,7 +25,7 @@
 
 torch.manual_seed(1)
 
-# If you're trying to run that on collab, you can download the assets and the
+# If you're trying to run that on Colab, you can download the assets and the
 # helpers from https://github.com/pytorch/vision/tree/main/gallery/
 from helpers import plot
 img = read_image(str(Path('../assets') / 'astronaut.jpg'))