File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\run.py", line 81, in
model.fit(train_gen, #_generator
File "D:\360安全浏览器下载\heatmap-main\venv\Lib\site-packages\keras\src\utils\traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\metrics.py", line 16, in dice_loss
return 1.0 - dice_coef(y_true, y_pred)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\metrics.py", line 11, in dice_coef
intersection = tf.reduce_sum(y_true_f * y_pred_f)
~~~~~~~~~^~~~~~~~~~
ValueError: Dimensions must be equal, but are 196608 and 65536 for '{{node compile_loss/dice_loss/mul}} = Mul[T=DT_FLOAT](compile_loss/dice_loss/flatten_8_1/Reshape, compile_loss/dice_loss/flatten_9_1/Reshape)' with input shapes: [?,196608], [?,65536].
File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\run.py", line 81, in
model.fit(train_gen, #_generator
File "D:\360安全浏览器下载\heatmap-main\venv\Lib\site-packages\keras\src\utils\traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\metrics.py", line 16, in dice_loss
return 1.0 - dice_coef(y_true, y_pred)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\360安全浏览器下载\heatmap-main\heatmap-main\ResUNetPlusPlus\metrics.py", line 11, in dice_coef
intersection = tf.reduce_sum(y_true_f * y_pred_f)
~~~~~~~~~^~~~~~~~~~
ValueError: Dimensions must be equal, but are 196608 and 65536 for '{{node compile_loss/dice_loss/mul}} = Mul[T=DT_FLOAT](compile_loss/dice_loss/flatten_8_1/Reshape, compile_loss/dice_loss/flatten_9_1/Reshape)' with input shapes: [?,196608], [?,65536].