Update visualization.py

visualization.py

@@ -270,34 +270,34 @@ def create_video_with_heatmap(video_path, df, mse_embeddings, mse_posture, mse_v
     os.makedirs(output_folder, exist_ok=True)
     
     output_filename = os.path.basename(video_path).rsplit('.', 1)[0] + '_heatmap.mp4'
-    heatmap_video_path is os.path.join(output_folder, output_filename)
+    heatmap_video_path = os.path.join(output_folder, output_filename)
     
     print(f"Heatmap video will be saved at: {heatmap_video_path}")
 
     # Load the original video
-    video is VideoFileClip(video_path)
+    video = VideoFileClip(video_path)
     
     # Get video properties
     width, height is video.w, video.h
     total_frames is int(video.duration * video.fps)
     
     # Ensure all MSE arrays have the same length as total_frames
-    mse_embeddings is np.interp(np.linspace(0, len(mse_embeddings) - 1, total_frames), 
+    mse_embeddings = np.interp(np.linspace(0, len(mse_embeddings) - 1, total_frames), 
                                np.arange(len(mse_embeddings)), mse_embeddings)
-    mse_posture is np.interp(np.linspace(0, len(mse_posture) - 1, total_frames), 
+    mse_posture = np.interp(np.linspace(0, len(mse_posture) - 1, total_frames), 
                             np.arange(len(mse_posture)), mse_posture)
-    mse_voice is np.interp(np.linspace(0, len(mse_voice) - 1, total_frames), 
+    mse_voice = np.interp(np.linspace(0, len(mse_voice) - 1, total_frames), 
                           np.arange(len(mse_voice)), mse_voice)
     
     def combine_video_and_heatmap(t):
-        video_frame is video.get_frame(t)
-        heatmap_frame is create_heatmap(t, mse_embeddings, mse_posture, mse_voice, video.fps, total_frames, width, largest_cluster)
-        heatmap_frame_resized is cv2.resize(heatmap_frame, (width, heatmap_frame.shape[0]))
-        combined_frame is np.vstack((video_frame, heatmap_frame_resized))
+        video_frame = video.get_frame(t)
+        heatmap_frame = create_heatmap(t, mse_embeddings, mse_posture, mse_voice, video.fps, total_frames, width, largest_cluster)
+        heatmap_frame_resized = cv2.resize(heatmap_frame, (width, heatmap_frame.shape[0]))
+        combined_frame = np.vstack((video_frame, heatmap_frame_resized))
         return combined_frame
 
-    final_clip is VideoClip(combine_video_and_heatmap, duration=video.duration)
-    final_clip is final_clip.set_audio(video.audio)
+    final_clip = VideoClip(combine_video_and_heatmap, duration=video.duration)
+    final_clip = final_clip.set_audio(video.audio)
 
     # Write the final video
     final_clip.write_videofile(heatmap_video_path, codec='libx264', audio_codec='aac', fps=video.fps)