I have been working with a CNN in Keras and I want to save the predictions as png images. This is my code to create the model and run the prediction:
history = model.fit(
train_generator,
steps_per_epoch=train_steps,
epochs=epochs,
validation_data=validation_generator,
validation_steps=valid_steps)
pred= model.predict(X_test)
I used following code based on below link and the pred folder remains empty. ( How to save output (prediction) of the CNN model in the form of an image? )
images = []
for i in range(len(images)*2):
pred.append(id_to_name[np.argmax(predictions[i // 2])])
plt.imsave(('pred/ {}.png'.format(str(i // 2)+id_to_name[np.argmax(predictions[i // 2])])),images[i // 2])
Could you please tell how to save the model.predict predictions in the form of png images?
If your images have the format:
(batch_size, height, width, channels)
You can use tf.keras.preprocessing.image.save_img
import tensorflow as tf
images = tf.random.uniform((4, 224, 224, 3))
for i, image in enumerate(images, 1):
tf.keras.preprocessing.image.save_img(f'my_picture_{i}.png', image)
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