Comments (2)
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.
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@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.
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Related Issues (20)
- alt_opt testing problem
- training loss is nan
- ValueError: attempt to get argmax of an empty sequence
- ValueError: Shape of a new variable (Fast-RCNN/fc6/weights) must be fully defined, but instead was (?, 1024). HOT 2
- cannot convert float infinity to integer
- Can you share the link of pretrain ResNet 50 imagenetpre-train model HOT 2
- Encounter this error: tensorflow.python.framework.errors_impl.NotFoundError HOT 3
- Getting -1 for map using VOC07+12 Trainval for validation HOT 3
- InternalError (see above for traceback): Failed to run py callback pyfunc_0: see error log.
- Train New Dataset HOT 3
- no module named cython_bbox
- different shape error when training now data HOT 1
- tensorflow.python.framewor.errors
- UnknownError (see above for traceback): KeyError: b'TRAIN' HOT 1
- Getting -1 for map using VOC07+12 Trainval HOT 6
- running test_net.py gives no detection result HOT 1
- nms model cannot be imported
- Use ResNet101 Model
- Memory leak problem with proposal_layer.py
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