Normalized pixel values in motion() #290

musicalgestures/__init__.py

@@ -141,7 +141,8 @@ def get_video(self):
 
         # Convert eventual low-resolution video and thumbnail to mp4
         video_formats = ['.avi', '.mp4', '.mov', '.mkv', '.mpg', '.mpeg', '.webm', '.ogg', '.ts', '.wmv', '.3gp']
-        if self.fex not in video_formats:
+        image_formats = ['.gif', '.jpeg', '.jpg', '.jfif', '.pjpeg', '.png', '.svg', '.webp', '.avif', '.apng']
+        if self.fex not in video_formats and self.fex not in image_formats:
             # Create one converted version and register it to the MgVideo 
             filename = convert_to_mp4(self.of + self.fex, overwrite=True)
             # point of and fex to the mp4 version

musicalgestures/_motionanalysis.py

@@ -4,7 +4,7 @@
 
 def centroid(image, width, height):
     """
-    Computes the centroid of an image or frame.
+    Computes the centroid and quantity of motion in an image or frame.
 
     Args:
         image (np.array(uint8)): The input image matrix for the centroid estimation function.
@@ -20,6 +20,7 @@ def centroid(image, width, height):
 
     x = np.arange(width)
     y = np.arange(height)
+    # Calculates the sum of the pixels in the input image
     qom = cv2.sumElems(image)[0]
     mx = np.mean(image, axis=0)
     my = np.mean(image, axis=1)

musicalgestures/_motionvideo.py

@@ -392,19 +392,7 @@ def mg_motionvideo(
     Returns:
         MgVideo: A new MgVideo pointing to the output '_motion' video file.
     """
-    # return mg_motion(
-    #     self,
-    #     filtertype=filtertype,
-    #     thresh=thresh,
-    #     blur=blur,
-    #     kernel_size=kernel_size,
-    #     use_median=use_median,
-    #     inverted_motionvideo=inverted_motionvideo,
-    #     save_data=False,
-    #     save_motiongrams=False,
-    #     save_plot=False,
-    #     save_video=True)
-
+
     motionvideo = motionvideo_ffmpeg(
         filename=self.filename,
         color=self.color,
@@ -786,9 +774,9 @@ def save_single_file(of, time, aom, com, qom, motion_analysis, width, height, da
         elif motion_analysis.lower() == 'com':
             df = pd.DataFrame({'Time': time, 'ComX': com.transpose()[0]/width, 'ComY': com.transpose()[1]/height})
         elif motion_analysis.lower() == 'qom':
-            df = pd.DataFrame({'Time': time, 'Qom': qom}) 
+            df = pd.DataFrame({'Time': time, 'Qom': qom/max(qom)}) 
         elif motion_analysis.lower() == 'all':
-            df = pd.DataFrame({'Time': time, 'Qom': qom, 'ComX': com.transpose()[0]/width, 'ComY': com.transpose()[1]/height, 
+            df = pd.DataFrame({'Time': time, 'Qom': qom/max(qom), 'ComX': com.transpose()[0]/width, 'ComY': com.transpose()[1]/height, 
                           'AomX1': aom.transpose()[0], 'AomY1': aom.transpose()[1], 'AomX2': aom.transpose()[2], 'AomY2': aom.transpose()[3]})
 
         if data_format == "tsv":