How to run test_net? (to get the mAP of my task) about fpn HOT 6 OPEN

File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/script_ops.py", line 85, in call
ret = func(*args)
File "./faster_rcnn/../lib/rpn_msr/anchor_target_layer.py", line 144, in anchor_target_layer
gt_argmax_overlaps = overlaps.argmax(axis=0) # G
ValueError: attempt to get argmax of an empty sequence

When I met the above training VOC2007 error, how do you solve？@
@xmyqsh @BestSongEver

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how do you solve this problem？
@BestSongEver

from fpn.

Sorry, i never met this issue. But i just checked it on google.
It might caused by "Because the ratio of images width and heights is too small or large"
Hope it helpful. @chl916185

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Thank you, it is really inappropriate three pictures, I didn't use them, problem solved, but How to run test_net.py? I met the same problem with you.
Traceback (most recent call last):
File "./faster_rcnn/test_net.py", line 83, in
network = get_network(args.network_name)
File "./faster_rcnn/../lib/networks/factory.py", line 19, in get_network
return FPN_test()
File "./faster_rcnn/../lib/networks/FPN_test.py", line 25, in init
self.setup()
File "./faster_rcnn/../lib/networks/FPN_test.py", line 231, in setup
.fc(n_classes, relu=False, name='cls_score')
File "./faster_rcnn/../lib/networks/network.py", line 34, in layer_decorated
layer_output = op(self, layer_input, args, **kwargs)
File "./faster_rcnn/../lib/networks/network.py", line 391, in fc
dim = dimd
TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'
@BestSongEver

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@chl916185 @BestSongEver
hi there,
I've updated anchors filtering logic in proposal target layer to cope with the problem encountered in low h/w ratio images

I will check the test_net latter

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When i use the test_net.py from another project, there gose an error：

(<tf.Tensor 'rpn_rois/rpn_rois_P2:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rpn_rois/rpn_rois_P3:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rpn_rois/rpn_rois_P4:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rpn_rois/rpn_rois_P5:0' shape=(?, 5) dtype=float32>)
[<tf.Tensor 'P2/BiasAdd:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'P3/BiasAdd:0' shape=(?, ?, ?, 256) dtype=float32>, <tf .Tensor 'P4/BiasAdd:0' shape=(?, ?, ?, 256) dtype=float32>, <tf.Tensor 'P5/BiasAdd:0' shape=(?, ?, ?, 256) dtype=float32>, (<tf.Te nsor 'rpn_rois/rpn_rois_P2:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rpn_rois/rpn_rois_P3:0' shape=(?, 5) dtype=float32>, <tf.Te nsor 'rpn_rois/rpn_rois_P4:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rpn_rois/rpn_rois_P5:0' shape=(?, 5) dtype=float32>)]
Traceback (most recent call last):
File "./faster_rcnn/test_net.py", line 78, in
network = get_network(args.network_name)
File "./faster_rcnn/../lib/networks/factory.py", line 19, in get_network
return FPN_test()
File "./faster_rcnn/../lib/networks/FPN_test.py", line 25, in init
self.setup()
File "./faster_rcnn/../lib/networks/FPN_test.py", line 354, in setup
.fc(n_classes, relu=False, name='cls_score')
File "./faster_rcnn/../lib/networks/network.py", line 34, in layer_decorated
layer_output = op(self, layer_input, *args, **kwargs)
File "./faster_rcnn/../lib/networks/network.py", line 405, in fc
regularizer=self.l2_regularizer(cfg.TRAIN.WEIGHT_DECAY))
File "./faster_rcnn/../lib/networks/network.py", line 96, in make_var
return tf.get_variable(name, shape, initializer=initializer, trainable=trainable, regularizer=regularizer)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 988, in get_variable
custom_getter=custom_getter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 890, in get_variable
custom_getter=custom_getter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 348, in get_variable
validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 333, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 639, in _get_single_variable
name, "".join(traceback.format_list(tb))))
ValueError: Variable cls_score/weights already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:

File "./faster_rcnn/../lib/networks/network.py", line 96, in make_var
return tf.get_variable(name, shape, initializer=initializer, trainable=trainable, regularizer=regularizer)
File "./faster_rcnn/../lib/networks/network.py", line 405, in fc
regularizer=self.l2_regularizer(cfg.TRAIN.WEIGHT_DECAY))
File "./faster_rcnn/../lib/networks/network.py", line 34, in layer_decorated
layer_output = op(self, layer_input, *args, **kwargs)
When I was loading the trained model：
network_name = 'FPN_test'
network = get_network(network_name)
print 'Use network {:s} in training'.format(network_name)
@BestSongEver @xmyqsh

from fpn.