Open BestSongEver opened 7 years ago
chl916185
commented
7 years ago 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
chl916185
commented
7 years ago how do you solve this problem？ @BestSongEver
BestSongEver
commented
7 years ago 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
chl916185
commented
7 years ago 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
xmyqsh
commented
7 years ago @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
chl916185
commented
7 years ago 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
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
Hi Thx for your excellent job! I'm a new learner and it benefits me a lot. I notice that there is no test_net.py in FPN/faster_rcnn/
So, could u tell me how to run a test? I neet to know the mAP of my task.
When i use the test_net.py from another project, there gose an error Traceback (most recent call last): File "faster_rcnn/test_net.py", line 85, 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 390, in fc
dim = d
TypeError: unsupported operand type(s) for *=: 'int' and 'NoneType'
How can i fix this?
Thx again :) @xmyqsh