Comments (7)
Hi yxqlwl,
Have you performed training also with the provided prototxt?
from flownet2.
Hi,
No I didn't. I only used the provided deploy.prototxt and caffemodel.
from flownet2.
Has anyone also tested performance of the models on sintel final? Haven't found the bugs in my testing code yet.
from flownet2.
Hi,
We will look into this.
Best,
Nikolaus
from flownet2.
Thanks for the comment, will check it this week.
from flownet2.
We confirm this issue. We originally made a dataset for sceneflow, where we took the sintel flow and disparity datasets together. The CLEAN images of both datasets are exactly the same, however the disparity FINAL images turn out to come without the atmospheric effects. I.e. we tested on Sintel with motion blur but missing the effects like fog.
We apologize for the inconvinience and will fix the numbers in the paper.
from flownet2.
Hi,
That's OK. We hope the performance of FlowNet2 could be further improved.
Best,
ViJay
from flownet2.
Related Issues (20)
- train.prototxt for flying chairs HOT 2
- Generating .prototxt files HOT 2
- Check failed: mdb_env_open(mdb_env_, this->layer_param_.data_param().source().c_str(), 0x20000|0x200000, 0664) == 0 (2 vs. 0) mdb_env_open failed HOT 3
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- How can I test dataset with png format? HOT 8
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- Train dataset HOT 2
- Data augmentation parameter HOT 10
- weight distribution for deconv layer HOT 4
- data augmentation horizontal flip HOT 5
- 3D motion vectors HOT 3
- Shadow suppression HOT 1
- how to generate optial flow .flo and .rflo files? HOT 2
- [libprotobuf ERROR C:\ci\libprotobuf_1523040574637\work\src\google\protobuf\text_format.cc:288] Error parsing text-format caffe.NetParameter: 524:15: Message type "caffe.LayerParameter" has no field named "irnn_param" HOT 1
- Can we set this up on Google Colab? HOT 2
- Models from download-model.sh HOT 4
- Dataloader for loading images HOT 2
- High error rate for KITTI 2015 Training dataset HOT 1
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