Upload extract_images.py

extract_images.py

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+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")
+