alt training error

[LiGe-In]

InvalidArgumentError (see above for traceback): Shape [-1,5] has negative dimensions [[Node: leveled_rois_4 = Placeholderdtype=DT_FLOAT, shape=[?,5], _device="/job:localhost/replica:0/task:0/gpu:0"]]

We've got an error while stopping in post-mortem: <type 'exceptions.KeyboardInterrupt'>

[LiGe-In]

I modified the function train_fast_rcnn(self, sess, vs_names, max_iter, rpn_file, init_model=None): feed_dict={ self.net.data: blobs['data'], self.net.leveled_rois_0: blobs['leveled_rois_0'], self.net.leveled_rois_1: blobs['leveled_rois_1'], self.net.leveled_rois_2: blobs['leveled_rois_2'], self.net.leveled_rois_3: blobs['leveled_rois_3'], self.net.leveled_rois_4: blobs['leveled_rois_4'], ...... by adding self.net.leveled_rois_4: blobs['leveled_rois_4'], the error disappeared,but the the Mean AP = 0.1282, a very poor result compared to end-to-end training. I trained the network using VOC2007.

[HoracceFeng]

@missliontheway Hi, I also have this problem, have you figured it out? If so, would you please share it? I have stuck in this code a few days. Thank you so much.