Comments (9)
I meet the same error, I think this error caused by test image dataset path
from lstr.
did anyone solve this issue?
from lstr.
did anyone solve this issue?
Yes. I was facing the same issue. The issue which caused this error to me was due to not following the given folder structure properly.
from lstr.
did anyone solve this issue?
Have you solved the problem
from lstr.
did anyone solve this issue?
Yes. I was facing the same issue. The issue which caused this error to me was due to not following the given folder structure properly.
Do you need to join this file(tusimple_label_data_0313.pkl、tusimple_label_data_0601.pkl、tusimple_label_data_0531.pkl)?
from lstr.
did anyone solve this issue?
Have you solved the problem
from lstr.
I meet the same error, I think this error caused by test image dataset path
Have you solved the problem
from lstr.
did anyone solve this issue?
Yes. I was facing the same issue. The issue which caused this error to me was due to not following the given folder structure properly.
Do you need to join this file(tusimple_label_data_0313.pkl、tusimple_label_data_0601.pkl、tusimple_label_data_0531.pkl)?
No. I just downloaded the whole dataset and kept it in the same format as the readme suggest.
from lstr.
Is the path problem, trace source debug look will know, modify into their own file path
from lstr.
Related Issues (20)
- ModuleNotFoundError: No module named 'loguru'
- AttributeError: 'NoneType' object has no attribute 'shape'
- How to set batch_size, iterations and other parameters?
- Test images/label names should be same as train images/label names?
- 关于论文的一点小疑惑
- Thank You! HOT 1
- Little bug in db/custom.py HOT 1
- Training stop
- Hello,i want to ask why my accuary only 0.64?
- Curvature values HOT 1
- test on own data with CUlane pretrained model
- Run.sh
- some questions about training input
- 关于模型参数的一点疑问 HOT 1
- 训练速度很慢,重写代码后训练不出效果来
- Visualization of custom data results HOT 1
- Training on a 3090 requires a modification to the torch
- Bottleneck问题 HOT 2
- time complexity
- Why iteration instead of epoch?
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from lstr.