add generated files

keras-team · fchollet · Sep 28, 2020 · Sep 28, 2020 · Sep 28, 2020 · Sep 28, 2020
commit f029d9e848d6d226ce06cb8bd9e818632379c5d4
diff --git a/examples/vision/3D_image_classification.py b/examples/vision/3D_image_classification.py
@@ -175,7 +175,7 @@ def process_scan(path):
 """
 
 # Read and process the scans.
-# Each scan is resized across width, height, and depth and rescaled.
+# Each scan is resized across height, width, and depth and rescaled.
 abnormal_scans = np.array([process_scan(path) for path in abnormal_scan_paths])
 normal_scans = np.array([process_scan(path) for path in normal_scan_paths])
 
@@ -197,9 +197,11 @@ def process_scan(path):
 """
 ## Data augmentation
 
-The CT scans also augmented by rotating at random angles during training. Since there are
-no channels present in the data, a channel of 1 is added to perform 3D convolutions on the data.
-There are different kinds of preprocessing and augmentation techniques out there,
+The CT scans also augmented by rotating at random angles during training. Since
+the data is stored in rank-3 tensors of shape `(samples, height, width, depth)`,
+we add a dimension of size 1 at axis 4 to be able to perform 3D convolutions on
+the data. The new shape is thus `(samples, height, width, depth, 1)`. There are
+different kinds of preprocessing and augmentation techniques out there,
 this example shows a few simple ones to get started.
 """
 

diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_10_2.png b/examples/vision/img/3D_image_classification/3D_image_classification_10_2.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_12_0.png b/examples/vision/img/3D_image_classification/3D_image_classification_12_0.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_17_2.png b/examples/vision/img/3D_image_classification/3D_image_classification_17_2.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_19_0.png b/examples/vision/img/3D_image_classification/3D_image_classification_19_0.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_20_1.png b/examples/vision/img/3D_image_classification/3D_image_classification_20_1.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_20_2.png b/examples/vision/img/3D_image_classification/3D_image_classification_20_2.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_22_2.png b/examples/vision/img/3D_image_classification/3D_image_classification_22_2.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_26_0.png b/examples/vision/img/3D_image_classification/3D_image_classification_26_0.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_27_0.png b/examples/vision/img/3D_image_classification/3D_image_classification_27_0.png
diff --git a/examples/vision/img/3D_image_classification/3D_image_classification_31_0.png b/examples/vision/img/3D_image_classification/3D_image_classification_31_0.png