Alon Lavian alonlavian

alonlavian / installVision.py

Last active April 24, 2019 17:42

!pip install --upgrade google-cloud-vision

alonlavian / faceCrop.py

Created April 21, 2019 11:37

find and crop faces in an image using google vision API

	def detect_face(face_file, max_results=4):
	client = vision.ImageAnnotatorClient()
	content = face_file.read()
	image = types.Image(content=content)
	return client.face_detection(image=image, max_results=max_results).face_annotations


	def crop_faces(image_to_crop, cropped_photos_dir):
	with open(image_to_crop, 'rb') as image:
	faces = detect_face(image, 8)

alonlavian / dropout.py

Created April 19, 2019 12:35

an example of adding a dropout layer to a CNN

	tf.keras.layers.Dense(1024, activation='relu'),
	tf.keras.layers.Dropout(0.75),
	tf.keras.layers.Dense(1, activation='sigmoid') ])

alonlavian / ResNet50Binary.py

Created April 3, 2019 07:58

Using ResNet50 as a base model for transfer learning

	from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input
	from tensorflow.keras.layers import Dense, Activation, Flatten, Dropout
	from tensorflow.keras.models import Sequential, Model

	HEIGHT = 300
	WIDTH = 300

	base_model = ResNet50(weights='imagenet',
	include_top=False,
	input_shape=(HEIGHT, WIDTH, 3))

alonlavian / mountDriveToColab.py

Created April 2, 2019 09:38

mounts google drive to /content/drive/

	from google.colab import drive
	drive.mount('/content/drive/')

alonlavian / ImageDataGenerator.py

Last active April 2, 2019 11:13

example of using ImageDataGenerator for creating a binary training set

	from tensorflow.keras.preprocessing.image import ImageDataGenerator

	train_datagen = ImageDataGenerator(rescale=1/255)

	train_generator = train_datagen.flow_from_directory(
	'/content/drive/My Drive/Training/',
	target_size=(300, 300),
	batch_size=10,
	class_mode='binary')