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Update KerasCV quickstart to match github #1496

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Aug 24, 2023
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Update KerasCV quickstart to match github #1496

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13 changes: 8 additions & 5 deletions templates/keras_cv/index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -66,10 +66,11 @@ using it on top of your backend of choice:
```python
import keras_cv
import keras_core as keras
import numpy as np

filepath = keras.utils.get_file(origin="https://i.imgur.com/gCNcJJI.jpg")
image = np.array(keras.utils.load_img(filepath))
image_resized = ops.image.resize(image, (640, 640))[None, ...]
image_resized = keras.ops.image.resize(image, (640, 640))[None, ...]

model = keras_cv.models.YOLOV8Detector.from_preset(
"yolo_v8_m_pascalvoc",
Expand All @@ -88,25 +89,27 @@ to take effect.

```python
import tensorflow as tf
from tensorflow import keras
import keras_cv
import tensorflow_datasets as tfds
import keras_core as keras

# Create a preprocessing pipeline with augmentations
BATCH_SIZE = 16
NUM_CLASSES = 3
augmenter = keras.Sequential(
augmenter = keras_cv.layers.Augmenter(
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[
keras_cv.layers.RandomFlip(),
keras_cv.layers.RandAugment(value_range=(0, 255)),
keras_cv.layers.CutMix(),
]
],
)

def preprocess_data(images, labels, augment=False):
labels = tf.one_hot(labels, NUM_CLASSES)
inputs = {"images": images, "labels": labels}
outputs = augmenter(inputs) if augment else inputs
outputs = inputs
if augment:
outputs = augmenter(outputs)
return outputs['images'], outputs['labels']

train_dataset, test_dataset = tfds.load(
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