Object Detection With YOLOv3 in Keras- ValueError: If your data is in the form of symbolic tensors
Object Detection With YOLOv3 in Keras- ValueError: If your data is in the form of symbolic tensors
如有任何帮助，我们将不胜感激。
我正在练习 "Object Detection With YOLOv3 in Keras"，作为您可以在该网站上找到的教程模型的一部分：(https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/)。
在下面的代码块中，我试图 "make prediction":
# make prediction
yhat = model.predict(Image_file)
# summarize the shape of the list of arrays
print([a.shape for a in yhat])
我收到以下错误：
--------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-35-278b18af4867> in <module>
1 # make prediction
----> 2 yhat = model.predict(Image_file)
3 # summarize the shape of the list of arrays
4 print([a.shape for a in yhat])
~/anaconda3/lib/python3.7/site-packages/keras/engine/training.py in predict(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)
1460 verbose=verbose,
1461 steps=steps,
-> 1462 callbacks=callbacks)
1463
1464 def train_on_batch(self, x, y,
~/anaconda3/lib/python3.7/site-packages/keras/engine/training_arrays.py in predict_loop(model, f, ins, batch_size, verbose, steps, callbacks)
248 batch_size=batch_size,
249 steps=steps,
--> 250 steps_name='steps')
251
252 # Check if callbacks have not been already configured
~/anaconda3/lib/python3.7/site-packages/keras/engine/training_utils.py in check_num_samples(ins, batch_size, steps, steps_name)
569 raise ValueError(
570 'If your data is in the form of symbolic tensors, '
--> 571 'you should specify the `' + steps_name + '` argument '
572 '(instead of the `batch_size` argument, '
573 'because symbolic tensors are expected to produce '
ValueError: If your data is in the form of symbolic tensors, you should specify the `steps` argument (instead of the `batch_size` argument, because symbolic tensors are expected to produce batches of input data).
我通过将 "steps=2" 添加到预测命令来修复此错误，如下所示：
yhat = model.predict(Image_file,steps=2)
如有任何帮助，我们将不胜感激。 我正在练习 "Object Detection With YOLOv3 in Keras"，作为您可以在该网站上找到的教程模型的一部分：(https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/)。 在下面的代码块中，我试图 "make prediction":
# make prediction
yhat = model.predict(Image_file)
# summarize the shape of the list of arrays
print([a.shape for a in yhat])
我收到以下错误：
--------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-35-278b18af4867> in <module>
1 # make prediction
----> 2 yhat = model.predict(Image_file)
3 # summarize the shape of the list of arrays
4 print([a.shape for a in yhat])
~/anaconda3/lib/python3.7/site-packages/keras/engine/training.py in predict(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)
1460 verbose=verbose,
1461 steps=steps,
-> 1462 callbacks=callbacks)
1463
1464 def train_on_batch(self, x, y,
~/anaconda3/lib/python3.7/site-packages/keras/engine/training_arrays.py in predict_loop(model, f, ins, batch_size, verbose, steps, callbacks)
248 batch_size=batch_size,
249 steps=steps,
--> 250 steps_name='steps')
251
252 # Check if callbacks have not been already configured
~/anaconda3/lib/python3.7/site-packages/keras/engine/training_utils.py in check_num_samples(ins, batch_size, steps, steps_name)
569 raise ValueError(
570 'If your data is in the form of symbolic tensors, '
--> 571 'you should specify the `' + steps_name + '` argument '
572 '(instead of the `batch_size` argument, '
573 'because symbolic tensors are expected to produce '
ValueError: If your data is in the form of symbolic tensors, you should specify the `steps` argument (instead of the `batch_size` argument, because symbolic tensors are expected to produce batches of input data).
我通过将 "steps=2" 添加到预测命令来修复此错误，如下所示：
yhat = model.predict(Image_file,steps=2)