margaretmz

// Go to Android Studio -> Help -> Edit Custom Properties
// Click "Yes" at the prompt ".../idea.properties does not exist, Create?"
// In the idea.properties file, enter
studio.projectview=true
// Save and restart Android Studio and all projects will be opened in Project View by default

margaretmz

// Find SHA1 of Debug keystore, on Mac located at ~/.android/debug.keystore
keytool -exportcert -alias androiddebugkey -keystore ~/.android/debug.keystore -list -v -storepass android

margaretmz

Anaconda consists a list of packages including Conda.
Conda is a commanda line package and environment manager.

Note the Conda commands below are for Mac:

# Help
[command ] -- help

# Verify conda is installed
conda info

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// Step 1. Open or create the .bash_file
// Open .bash_file
$ -a TextEdit ~/.bash_profile 
// create the file if it doesn’t exist: 
$ touch ~/.bash_profile

// Step 2. Add path to adb tool (note your path maybe different)
export PATH=$PATH:/Users/Margaret/Library/Android/sdk/platform-tools/

// Step 3. Make the new path in effect

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os.environ['KAGGLE_USERNAME'] = "" # TODO: enter your Kaggle user name here
os.environ['KAGGLE_KEY'] = "" # TODO: enter your Kaggle key here

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$ kaggle datasets download -d t04glovern/ugatit-selfie2anime-pretrained
$ unzip -qq /content/ugatit-selfie2anime-pretrained.zip

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with tf.Graph().as_default(), tf.Session() as sess:
   gan = UGATIT(sess, data)
   gan.build_model()
   load_checkpoint(sess, ckpt_path)

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def load_checkpoint(sess, ckpt_path):
   model_saver = tf.train.Saver(tf.global_variables())
   checkpoint = os.path.expanduser(checkpoint)
   if tf.gfile.IsDirectory(checkpoint):
       checkpoint = tf.train.latest_checkpoint(checkpoint)
       tf.logging.info('loading latest checkpoint file: {}'.format(checkpoint))
   model_saver.restore(sess, checkpoint)

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tf.saved_model.simple_save(
       sess,
       saved_model_dir,
       inputs={gan.test_domain_A.name: gan.test_domain_A},
       outputs={gan.test_fake_B.name: gan.test_fake_B}
)

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model = tf.saved_model.load(saved_model_path)
concrete_func = model.signatures[ tf.saved_model.DEFAULT_SERVING_SIGNATURE_DEF_KEY]