Comments (5)
The image size is 1216x352? So follow your setting, the image feed in the model with size 1216 x352, but the top of the image is valid. The image I download from kitti depth completion rank.
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So I wonder why not use 1216x256?
from penet_icra2021.
In my understanding, in main.py
the args.val_h
and args.val_w
mean the size of area we crop from the image using bottom crop, and args.he
and args.w
is the size crop from the area.
from penet_icra2021.
Hi! There are actually two settings. Ours follows the one of Ma et al.(Sparse2Dense) to feed the full sized images into the models. And the other one is cropping the images on the top into 1216x256 ones (e.g. GuideNet). Under this scheme, the top of the images are manually fulfilled when generating results on validation/test sets. Both of them are feasible while there might be some minor difference in performance.
from penet_icra2021.
Oh! Thanks a lot. So comparing your model with others on the kitti website, your result may be different on the top of image.
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Related Issues (20)
- Projection result confirmation HOT 3
- Questions about KITTI-odometry HOT 2
- Runtime measurement HOT 4
- How to use the sparse depth?
- How to use the sparse depth? HOT 4
- Modify the backbone network HOT 3
- lightweight deployment of PENet network
- How to infer PENet for KITTI object task? HOT 3
- broken PNG file HOT 1
- the difference intrinsic parameters between train and test HOT 4
- Modify DA-CSPN++ for single branch input HOT 1
- some questions about the implement of CSPN HOT 4
- Model mismatch at inference time HOT 1
- Tensor Dimension Mismatch HOT 1
- How many parameters dose PENet have? HOT 2
- About training HOT 1
- How to implement the model with ROS?
- can't download the pretrained PENet Model
- Pretrained on NYU dataset?
- RuntimeError: CUDA out of memory.
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