Open developer0hye opened 3 years ago
About the first case, I found the reason of the problem!
it is related to the warning "RuntimeWarning: overflow encountered in ubyte_scalars "
In mafa2kitti.py replace the
bbox = [_bbox_label[0], _bbox_label[1], _bbox_label[0]+_bbox_label[2], _bbox_label[1]+_bbox_label[3]]
in line 51 and line 81, with
bbox = [float(_bbox_label[0]), float(_bbox_label[1]), float(_bbox_label[0])+float(_bbox_label[2]), float(_bbox_label[1])+float(_bbox_label[3])]
These are some examples of images whose annotation got messed in the mafa2kitti conversion. ["train_00005401.jpg", "train_00000650.jpg", "train_00000526.jpg" ]
@lmarval Thanks luis!
Noisy data example
Missing label data example
refer to left girl![image](https://user-images.githubusercontent.com/35001605/111939079-ae990900-8b0e-11eb-8300-5d6c60064a89.png)
The below code is the code used to visualize data in MAFA.
I referenced this project code.
It's the problem of the dataset or code?