-
```
I'm trying to display images at various GPS locations using GeoObj. The problem
is that some images get thinned down, since they are along the axis. Because of
this, it's hard to see them.
I als…
-
## Issue description
The images visualized on WandB (or, Tensorboard) appear flipped despite using no data augmentation method. When we look at the images on WandB (by setting `debugging=True` in…
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**🚀 Feature**
We have a full size image and then small FoV labels with a higher resolution.
Sadly the `RandomAffine` and `RandomElasticDeformation` augmentations do not run for this due to the size …
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I got extremely large face when I implemented the data augmentation method described in the paper. Here is my code
```python
import config
import numpy as np
from lib_dr import get_dr, get_mesh
…
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How to inference own video?
-
Hi Eugene,
Currently, I am using data_tools on the LiTS2017 dataset. I notice that in the `data_augmentation.py` line 154-156 in the 'image_random_transform' function might need some modifications.…
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Hi,
i am using this config https://github.com/megvii-research/PETR/blob/main/projects/configs/petrv2/petrv2_BEVseg.py and its respective model.
But I changed the test pipeline, with scale(twice-…
-
```
I'm trying to display images at various GPS locations using GeoObj. The problem
is that some images get thinned down, since they are along the axis. Because of
this, it's hard to see them.
I als…
-
Hi,
I am trying to reproduce the same results as the paper but could not get anyway?
My settings are: 27 frames, 0.00001 lr and 2 GPUs.
Can you check if there is something missing in the sett…
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![test](https://user-images.githubusercontent.com/28866047/37865098-7f8546d4-2fb2-11e8-957d-e87be7bb6ff5.png)
Left keeps reflectance