aliyun conditional-lane-detection issues

aliyun / conditional-lane-detection

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issues

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Train on own dataset

#74 javierpastorfernandez opened 5 months ago
3
Curvelanes.part1.rar is unable to download

#73 AbdullahJirjees opened 5 months ago
0
Ground truth vs detected lane

#72 NigussieAbate opened 6 months ago
5
The F1 score on the CULane dataset is not as high as reported in the paper.

#71 YiShiyi11 opened 9 months ago
0
feat:train mode

#70 Tristan20230123 opened 11 months ago
1
Error was found in the test code of the CULane-medium.

#69 sjg918 closed 1 year ago
2
Incorrect ground truth due to missing import of MultiLineString

#68 haerrel opened 1 year ago
1
为啥执行测试命令也没报错应该是成功检测了但是结果保存和可视化文件是空的呢

#67 yangaiping opened 1 year ago
1
The implementation details for evaluation procedure

#66 artest08 opened 1 year ago
0
Tusimple Evaluate, Help!

#65 veronicaisweiwei opened 1 year ago
1
Results with ResNet-50 and ResNet-101 backbone

#64 zen-d opened 1 year ago
0
GPU support for A100 or 3090?

#63 XinchaoGou opened 1 year ago
0
How can l solve this problem？

#62 lovelydjj opened 1 year ago
2
is ONNX conversion available?

#61 sahamitul opened 1 year ago
0
关于clamp_line函数的作用

#60 sumenpuyuan opened 1 year ago
0
Question about img_norm_cfg

#59 notabigfish opened 1 year ago
2
Why minus 2.19 in ctnet_head?

#58 usherbob closed 1 year ago
1
tools.condlanenet.common Issue

#57 imadalishah opened 2 years ago
0
CondLaneNet on a new Dataset

#56 abdellah-0830 opened 2 years ago
1
lane formating bug？

#55 sumenpuyuan opened 2 years ago
0
怎么使用模型检测自己的数据（没有标注

#54 GongDianCheng closed 2 years ago
7
aboult albumentation

#53 Ehangiun opened 2 years ago
0
run

#52 liangjxiong opened 2 years ago
0
Question about the RIM module?

#51 sjtuljw520 opened 2 years ago
1
Can't the performance of the algorithm be reproduced on curvelanes?

#50 Jinming-Su opened 2 years ago
2
Questions about hyper-params

#49 usherbob opened 2 years ago
0
condlanenet.py

#48 balajiiitg opened 2 years ago
1
condlanenet.py

#47 balajiiitg opened 2 years ago
0
CUlane evaluate, help

#46 shuizaola opened 2 years ago
2
KeyError: 'gt_points' when run the image_demo.py

#45 batuhanbeytekin opened 2 years ago
1
How to use mmdet API to inference

#44 Bru-Souza opened 2 years ago
2
how to train five lane lines

#43 jianghongsun opened 2 years ago
1
There is one case where the lane start point deviates from the lane.

#42 feifeiwei opened 2 years ago
3
Documentation

#41 NikolaAndro closed 2 years ago
2
train

#40 shuizaola closed 2 years ago
0
Setup.py develop

#39 NikolaAndro opened 2 years ago
0
V100推理速度

#38 cedar33 opened 2 years ago
1
V100的推理速度

#37 cedar33 opened 2 years ago
0
Frozen ResNet Blocks and BatchNorms

#36 andy-96 opened 2 years ago
0
Error <THC/THCDeviceUtils.cuh> not found

#35 prabhatkumar95 opened 2 years ago
1
ValueError: need at least one array to concatenate

#34 wangnian97 opened 2 years ago
1
Trained culane-small but could not get the performance described in the paper.

#33 KiveeDong opened 2 years ago
26
results do not agree with the author

#32 CongerW closed 2 years ago
4
train --no-validate

#31 hzzzzjzyq opened 2 years ago
3
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation

#30 andy-96 closed 2 years ago
2
RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not used in producing loss. You can enable unused parameter detection by (1) passing the keyword argument `find_unused_parameters=True` to `torch.nn.parallel.DistributedDataParallel`; (2) making sure all `forward` function outputs participate in calculating loss. If you already have done the above two steps, then the distributed data parallel module wasn't able to locate the output tensors in the return value of your module's `forward` function. Please include the loss function and the structure of the return value of `forward` of your module when reporting this issue (e.g. list, dict, iterable).

#29 FANG-MING opened 3 years ago
3
How to inference

#28 rylynchen opened 3 years ago
1
row_loss not going down

#27 sudokhan112 closed 3 years ago
0
docker环境的问题

#26 xing12sd opened 3 years ago
2
what dose mask_branch in head for?

#25 Wolfwjs closed 3 years ago
0