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I have encountered the Nontype error when I run demo and train. I do exactly the same thing in Readme. Can anybody help me solve this problem?
Tensor("data:0", shape=(?, ?, ?, 3), dtype=float32) Tensor("conv5_3/Relu:0", shape=(?, ?, ?, 512), dtype=float32) Tensor("rpn_conv/3x3/Relu:0", shape=(?, ?, ?, 512), dtype=float32) Tensor("rpn_conv/3x3/Relu:0", shape=(?, ?, ?, 512), dtype=float32) Tensor("rpn_cls_score/BiasAdd:0", shape=(?, ?, ?, 18), dtype=float32) Tensor("gt_boxes:0", shape=(?, 5), dtype=float32) Tensor("gt_ishard:0", shape=(?,), dtype=int32) Tensor("dontcare_areas:0", shape=(?, 4), dtype=float32) Tensor("im_info:0", shape=(?, 3), dtype=float32) Tensor("rpn_cls_score/BiasAdd:0", shape=(?, ?, ?, 18), dtype=float32) Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32) Tensor("Reshape_2:0", shape=(?, ?, ?, 18), dtype=float32) Tensor("rpn_bbox_pred/BiasAdd:0", shape=(?, ?, ?, 36), dtype=float32) Tensor("im_info:0", shape=(?, 3), dtype=float32) Tensor("rpn_rois:0", shape=(?, 5), dtype=float32) Tensor("gt_boxes:0", shape=(?, 5), dtype=float32) Tensor("gt_ishard:0", shape=(?,), dtype=int32) Tensor("dontcare_areas:0", shape=(?, 4), dtype=float32) Tensor("conv5_3/Relu:0", shape=(?, ?, ?, 512), dtype=float32) Tensor("roi-data/rois:0", shape=(?, 5), dtype=float32) [<tf.Tensor 'conv5_3/Relu:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'roi-data/rois:0' shape=(?, 5) dtype=float32>] Traceback (most recent call last): File "./faster_rcnn/train_net.py", line 101, in network = get_network(args.network_name) File "./faster_rcnn/../lib/networks/factory.py", line 29, in get_network return VGGnet_train() File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 17, in init self.setup() File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 85, in setup .fc(4096, name='fc6') File "./faster_rcnn/../lib/networks/network.py", line 36, in layer_decorated layer_output = op(self, layer_input, *args, **kwargs) File "./faster_rcnn/../lib/networks/network.py", line 377, in fc feed_in, dim = (input, int(input_shape[-1])) TypeError: int returned non-int (type NoneType)
The text was updated successfully, but these errors were encountered:
lower version of tensorflow may solve it
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I have encountered the Nontype error when I run demo and train. I do exactly the same thing in Readme. Can anybody help me solve this problem?
Tensor("data:0", shape=(?, ?, ?, 3), dtype=float32)
Tensor("conv5_3/Relu:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/Relu:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/Relu:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_cls_score/BiasAdd:0", shape=(?, ?, ?, 18), dtype=float32)
Tensor("gt_boxes:0", shape=(?, 5), dtype=float32)
Tensor("gt_ishard:0", shape=(?,), dtype=int32)
Tensor("dontcare_areas:0", shape=(?, 4), dtype=float32)
Tensor("im_info:0", shape=(?, 3), dtype=float32)
Tensor("rpn_cls_score/BiasAdd:0", shape=(?, ?, ?, 18), dtype=float32)
Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32)
Tensor("Reshape_2:0", shape=(?, ?, ?, 18), dtype=float32)
Tensor("rpn_bbox_pred/BiasAdd:0", shape=(?, ?, ?, 36), dtype=float32)
Tensor("im_info:0", shape=(?, 3), dtype=float32)
Tensor("rpn_rois:0", shape=(?, 5), dtype=float32)
Tensor("gt_boxes:0", shape=(?, 5), dtype=float32)
Tensor("gt_ishard:0", shape=(?,), dtype=int32)
Tensor("dontcare_areas:0", shape=(?, 4), dtype=float32)
Tensor("conv5_3/Relu:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("roi-data/rois:0", shape=(?, 5), dtype=float32)
[<tf.Tensor 'conv5_3/Relu:0' shape=(?, ?, ?, 512) dtype=float32>, <tf.Tensor 'roi-data/rois:0' shape=(?, 5) dtype=float32>]
Traceback (most recent call last):
File "./faster_rcnn/train_net.py", line 101, in
network = get_network(args.network_name)
File "./faster_rcnn/../lib/networks/factory.py", line 29, in get_network
return VGGnet_train()
File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 17, in init
self.setup()
File "./faster_rcnn/../lib/networks/VGGnet_train.py", line 85, in setup
.fc(4096, name='fc6')
File "./faster_rcnn/../lib/networks/network.py", line 36, in layer_decorated
layer_output = op(self, layer_input, *args, **kwargs)
File "./faster_rcnn/../lib/networks/network.py", line 377, in fc
feed_in, dim = (input, int(input_shape[-1]))
TypeError: int returned non-int (type NoneType)
The text was updated successfully, but these errors were encountered: