Revert "Feature resolution type"

inference_v4.py

@@ -175,10 +175,6 @@ data = {
     'hop_length': 1_024,
     'window_size': 320,
     'n_fft': 2_048,
-    # Resolution Type
-    'resType': 'kaiser_fast',
-    # Parsed constants should be fixed
-    'manType': False,
 }
 default_sr = data['sr']
 default_hop_length = data['hop_length']
@@ -216,10 +212,6 @@ def update_constants(model_name):
     data['window_size'] = default_window_size
     data['n_fft'] = default_n_fft
 
-    if data['manType']:
-        # Default constants should be fixed
-        return
-
     for text_part in text_parts:
         if 'sr' in text_part:
             text_part = text_part.replace('sr', '')
@@ -384,17 +376,16 @@ def main(window: tk.Wm, text_widget: tk.Text, button_widget: tk.Button, progress
         folder_path = os.path.join(data["export_path"], modelFolderName)
         if not os.path.isdir(folder_path):
             os.mkdir(folder_path)
-    else:
-        folder_path = ''
 
     # Determine Loops
     total_loops = data['stackPasses']
     if not data['stackOnly']:
         total_loops += 1
     for file_num, music_file in enumerate(data['input_paths'], start=1):
-        # Determine File Name
-        base_name = os.path.join(folder_path, f'{file_num}_{os.path.splitext(os.path.basename(music_file))[0]}')
         try:
+            # Determine File Name
+            base_name = os.path.join(folder_path, f'{file_num}_{os.path.splitext(os.path.basename(music_file))[0]}')
+
             # --Seperate Music Files--
             for loop_num in range(total_loops):
                 # -Determine which model will be used-
@@ -437,7 +428,7 @@ def main(window: tk.Wm, text_widget: tk.Text, button_widget: tk.Button, progress
                 # Wave source
                 text_widget.write(base_text + 'Loading wave source...\n')
                 X, sr = librosa.load(music_file, data['sr'], False,
-                                     dtype=np.float32, res_type=data['resType'])
+                                     dtype=np.float32, res_type='kaiser_fast')
                 if X.ndim == 1:
                     X = np.asarray([X, X])
                 text_widget.write(base_text + 'Done!\n')