Update app.py

app.py

@@ -92,7 +92,7 @@ def process_video():
         # Extract 60 frames from the video
         success, frame = cap.read()
         frame_count = 0
-        while success and frame_count < 60:
+        while success and frame_count < 20:
             frames.append(frame)
             success, frame = cap.read()
             frame_count += 1
@@ -115,7 +115,7 @@ def process_video():
         initial_right_wrist = None
 
         for frame_index, frame in enumerate(frames):
-            input_tensor = tf.image.resize_with_pad(tf.convert_to_tensor(frame, dtype=tf.uint8), 256, 256)
+            input_tensor = tf.image.resize_with_pad(tf.convert_to_tensor(frame, dtype=tf.uint8), 128, 128)
             input_tensor = tf.cast(input_tensor, dtype=tf.int32)  # Cast to int32 instead of float32
             input_tensor = tf.expand_dims(input_tensor, axis=0)
             keypoints = movenet_model.signatures['serving_default'](input_tensor)