xuannianz / keras-GaussianYOLOv3

Gaussian YOLOv3 (An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)) implementation in Keras and Tensorflow

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TypeError: List of Tensors when single Tensor expected

chenxiao521 opened this issue · comments

hi, @xuannianz I try to train the VOC data, and get this error
File "/home/bigdata/chenfangxiong/keras-GaussianYOLOv3/train.py", line 341, in
main()
File "/home/bigdata/chenfangxiong/keras-GaussianYOLOv3/train.py", line 295, in main
model, prediction_model = yolo_body(anchors, num_classes=num_classes)
File "/home/bigdata/chenfangxiong/keras-GaussianYOLOv3/model.py", line 130, in yolo_body
[y1, y2, y3, fm_13_input, fm_26_input, fm_52_input])
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/keras/engine/base_layer.py", line 451, in call
output = self.call(inputs, **kwargs)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/keras/layers/core.py", line 716, in call
return self.function(inputs, **arguments)
File "/home/bigdata/chenfangxiong/keras-GaussianYOLOv3/loss.py", line 46, in yolo_loss
raw_y_pred = K.reshape(yolo_output, [-1, grid_shape[0], grid_shape[1], num_anchors_per_layer, num_classes + 9])
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2189, in reshape
return tf.reshape(x, shape)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 6197, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 513, in _apply_op_helper
raise err
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 510, in _apply_op_helper
preferred_dtype=default_dtype)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1107, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 217, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 196, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 436, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/home/bigdata/.conda/envs/fcon/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 344, in _AssertCompatible
raise TypeError("List of Tensors when single Tensor expected")
TypeError: List of Tensors when single Tensor expected

Hi, did you change any code? The error message hints yolo_output is a list, but It should be a tensor.

yolo_output = yolo_outputs[l]
raw_y_pred = K.reshape(yolo_output, [-1, grid_shape[0], grid_shape[1], num_anchors_per_layer, num_classes + 9])

Hi, did you change any code? The error message hints yolo_output is a list, but It should be a tensor.

yolo_output = yolo_outputs[l]
raw_y_pred = K.reshape(yolo_output, [-1, grid_shape[0], grid_shape[1], num_anchors_per_layer, num_classes + 9])

not., Can you tell me your environment configuration.

Take a look at requirements.txt.

Take a look at requirements.txt.

thanks

commented

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