Initial Commit

video_compression_model.py

@@ -0,0 +1,27 @@
+import tensorflow as tf
+
+class VideoCompressionModel(tf.keras.Model):
+    def __init__(self, NUM_CHANNELS=3):
+        super(VideoCompressionModel, self).__init__()
+
+        # Encoder layers
+        self.encoder = tf.keras.Sequential([
+            tf.keras.layers.Conv2D(32, (3, 3), activation='relu', padding='same', input_shape=(None, None, NUM_CHANNELS)),
+            # Add more encoder layers as needed
+        ])
+
+        # Decoder layers
+        self.decoder = tf.keras.Sequential([
+            tf.keras.layers.Conv2DTranspose(32, (3, 3), activation='relu', padding='same'),
+            # Add more decoder layers as needed
+            tf.keras.layers.Conv2D(NUM_CHANNELS, (3, 3), activation='sigmoid', padding='same')  # Output layer for video frames
+        ])
+
+    def call(self, inputs):
+        # Encoding the video frames
+        compressed_representation = self.encoder(inputs)
+
+        # Decoding to generate compressed video frames
+        reconstructed_frames = self.decoder(compressed_representation)
+
+        return reconstructed_frames