File size: 684 Bytes
90f90d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
import tensorflow as tf
import base64
from PIL import Image
import io
from tqdm import tqdm
filenames = tf.io.gfile.glob('./android_control*')
raw_dataset = tf.data.TFRecordDataset(filenames, compression_type='GZIP')
dataset_iterator = tf.compat.v1.data.make_one_shot_iterator(raw_dataset)
for data in tqdm(dataset_iterator):
example = tf.train.Example.FromString(data.numpy())
episode_id = example.features.feature['episode_id'].int64_list.value
# Save images to png files
for i, image_data in enumerate(screenshots):
image = Image.open(io.BytesIO(image_data))
image.save(f"./images/android_control_episode_{str(episode_id)}_{str(i)}.png")
|