diff --git a/infer/lib/train/utils.py b/infer/lib/train/utils.py
index 761bce6..885668b 100644
--- a/infer/lib/train/utils.py
+++ b/infer/lib/train/utils.py
@@ -5,7 +5,6 @@ import logging
 import os
 import sys
 from copy import deepcopy
-import math
 
 import codecs
 import numpy as np
@@ -17,6 +16,13 @@ MATPLOTLIB_FLAG = False
 logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
 logger = logging
 
+logging.getLogger("numba").setLevel(logging.WARNING)
+logging.getLogger("markdown_it").setLevel(logging.WARNING)
+logging.getLogger("urllib3").setLevel(logging.WARNING)
+logging.getLogger("matplotlib").setLevel(logging.WARNING)
+
+import matplotlib.pylab as plt
+
 
 def load_checkpoint(checkpoint_path, model, optimizer=None, load_opt=1):
     assert os.path.isfile(checkpoint_path)
@@ -125,8 +131,6 @@ def plot_spectrogram_to_numpy(spectrogram):
         MATPLOTLIB_FLAG = True
         mpl_logger = logging.getLogger("matplotlib")
         mpl_logger.setLevel(logging.WARNING)
-    import matplotlib.pylab as plt
-    import numpy as np
 
     fig, ax = plt.subplots(figsize=(10, 2))
     im = ax.imshow(spectrogram, aspect="auto", origin="lower", interpolation="none")
@@ -136,8 +140,12 @@ def plot_spectrogram_to_numpy(spectrogram):
     plt.tight_layout()
 
     fig.canvas.draw()
-    data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
-    data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
+    try:
+        data = np.array(fig.canvas.renderer.buffer_rgba(), dtype=np.uint8)
+        data = data.reshape(fig.canvas.get_width_height()[::-1] + (4,))[:, :, :3] # 只取前三个通道（RGB）
+    except:
+        data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
+        data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
     plt.close()
     return data
 
@@ -151,8 +159,6 @@ def plot_alignment_to_numpy(alignment, info=None):
         MATPLOTLIB_FLAG = True
         mpl_logger = logging.getLogger("matplotlib")
         mpl_logger.setLevel(logging.WARNING)
-    import matplotlib.pylab as plt
-    import numpy as np
 
     fig, ax = plt.subplots(figsize=(6, 4))
     im = ax.imshow(
@@ -167,8 +173,12 @@ def plot_alignment_to_numpy(alignment, info=None):
     plt.tight_layout()
 
     fig.canvas.draw()
-    data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
-    data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
+    try:
+        data = np.array(fig.canvas.renderer.buffer_rgba(), dtype=np.uint8)
+        data = data.reshape(fig.canvas.get_width_height()[::-1] + (4,))[:, :, :3] # 只取前三个通道（RGB）
+    except:
+        data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
+        data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
     plt.close()
     return data