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tusimple benchmark ground truth #3

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kivinju opened this issue Oct 20, 2018 · 44 comments
Closed

tusimple benchmark ground truth #3

kivinju opened this issue Oct 20, 2018 · 44 comments

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@kivinju
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kivinju commented Oct 20, 2018

https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

The links below do not work anymore. Please use the Kaggle link above to download the dataset.

LANE DETECTION CHALLENGE

dataset

ground truth

VELOCITY ESTIMATION CHALLENGE

dataset

ground trurh

@cardwing
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@kivinju , thanks for uploading the ground-truth labels.

@cardwing
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@kivinju , can you provide the evaluation codes of the lane detection challenge (scripts used in testing)? Or can you provide the details of using the test_label.json, e.g., how is a lane point classified as TP or FP? Thanks a lot!

@kivinju
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kivinju commented Oct 26, 2018

@kivinju , can you provide the evaluation codes of the lane detection challenge (scripts used in testing)? Or can you provide the details of using the test_label.json, e.g., how is a lane point classified as TP or FP? Thanks a lot!

@cardwing https://github.com/TuSimple/tusimple-benchmark/blob/master/evaluate/lane.py

@cardwing
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@kivinju , really appreciate your kind response.

@wcg5262
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wcg5262 commented Nov 1, 2018

@kivinju 您好,如果我想自己制作此类数据集,也要做您提供的这种json文件,我要从何入手呢?

@kivinju
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kivinju commented Nov 1, 2018

@kivinju 您好,如果我想自己制作此类数据集,也要做您提供的这种json文件,我要从何入手呢?

format your output and document.

@harryhan618
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Hi, thanks for sharing. May I ask what's the method used in baseline for lane detection?

@fabvio
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fabvio commented Jul 29, 2019

Hi, thanks for releasing the dataset. Just to let you know, I provide class labels for the lane boundaries in the training and validation set. Maybe someone is interested.

https://github.com/fabvio/TuSimple-lane-classes

@jiaofang1222
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@kivinju 您好,如果我想自己制作此类数据集,也要做您提供的这种json文件,我要从何入手呢?

您好,能分享一下生成.json文件的程序吗?

@obulirajs
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Hi, thanks for releasing the dataset. Just to let you know, I provide class labels for the lane boundaries in the training and validation set. Maybe someone is interested.

https://github.com/fabvio/TuSimple-lane-classes

As part of my academics i chose to do project on lane detection. I need to do labeling on the road lanes as part of my project work. i am pretty new to this domain and i do not know how to do. Can you help me in pointing right tool to do labeling and how to do. Any help is much appreciated.

-Thanks
Raj

@fabvio
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fabvio commented Oct 12, 2019

Well I just wrote my own labeling tool for this specific dataset using python :) if you need it please open an issue on my repo, side things like this shouldn't be discussed here.

@DGJSCUT
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DGJSCUT commented Dec 16, 2019

Is there any possibility that the author could share the code or method of the dataset TuSimple about how to label it in a json format with us?

@Aya-S
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Aya-S commented Jan 13, 2020

I would like to download only a small subset of the dataset any advice on how to do that?

@pandamax
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pandamax commented Feb 28, 2020

if i have lane instance segmentation images,is there a method to generate json format like Tusimple?thanks in advance.

@mohamadalii
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Hello, I would like to test Lane detection on real-time camera without the dataset, could anyone help me?

@eeyrw
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eeyrw commented Apr 8, 2020

I wrote some simple code for walking through tusimple dataset and other popular datasets:
https://github.com/eeyrw/LaneDatasetInspector

@ntthuy11
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Hi TuSimple engineers, is it possible that you can share your annotation tool for lanes? I would like to train bike lanes by myself, and I am searching around for a good tool for lanes. I will follow TuSimple license. Thank you very much in advance!

@kivinju
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kivinju commented May 24, 2021 via email

@kivinju kivinju pinned this issue May 28, 2021
@dexter2406
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@kivinju Isn't it Apache 2.0 license, as posted on the homepage of this repository?

@kivinju
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kivinju commented Jun 3, 2021

@dexter2406 Yes. I confirmed with our legal team and made it Apache 2.0.

@Frandre
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Frandre commented Jul 7, 2021

Thanks for sharing the dataset!

Could you please advice whether camera parameters, e.g. intrinsic, are available for your dataset or not?

Best,
Buyu

@wywywy01
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Thanks for your sharing.

It seems that in 'LANE DETECTION CHALLENGE', the data test_label.json line is 2782, while in test_set.zip only exists 2638 imgs.

could you please have a check?

@Takugo
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Takugo commented Oct 26, 2021

if i have lane instance segmentation images,is there a method to generate json format like Tusimple?thanks in advance.

Hi, have you found any tools or scripts that could generate TuSimple json format from lane instance segmentation images. I also have this sort of problems.

@miao02830
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如果我有车道实例分割图像,有没有办法生成像 Tusimple 这样的 json 格式?提前谢谢。

嗨,您是否找到了可以从车道实例分割图像生成 TuSimple json 格式的任何工具或脚本。我也有这样的问题。

同问,我也遇到了这样的问题,可以分享一下吗,十分感谢

@pandamax
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pandamax commented Nov 3, 2021

@miao02830 我这边实现了车道线实例分割数据集转tusimple的脚本,可能你的数据集标注形式类似于vil-100或curvelanes,可以参考一下vil-100转tusimplecurvelanes转tusimple

reference:

@Takugo
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Takugo commented Nov 3, 2021

@miao02830 我这边实现了车道线实例分割数据集转tusimple的脚本,可能你的数据集标注形式类似于vil-100或curvelanes,可以参考一下vil-100转tusimplecurvelanes转tusimple

reference:

@pandamax 嗯?环宇?

@harinduravin
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harinduravin commented Dec 10, 2021

Hi, thanks for releasing the dataset. Just to let you know, I provide class labels for the lane boundaries in the training and validation set. Maybe someone is interested.

https://github.com/fabvio/TuSimple-lane-classes

Do you have labeled data for TuSimple Test set (test_label.json) as well? @fabvio
If possible, please share.

@zillur-av
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zillur-av commented Apr 3, 2023

Does this dataset have lane class labels? Like dashed yellow = 1, sold yellow = 2, bot dotts = 3 or they are all considered as one class? I do not see any labels on the json files.

@josh-wende
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These links don't work for me, I get an "Access Denied" message. Is there somewhere else I can get the dataset?

@zehranrgi
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These links don't work for me, I get an "Access Denied" message. Is there somewhere else I can get the dataset?

https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

@SANGHEEMOON
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Hello,
I can't find 'test_baseline.json'. How can I get this file?

@02666
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02666 commented Jul 14, 2023

How could i download these datasets?

@wy1663890176
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数据集下载不了,还有其他的方法获取数据吗

@lsj1012
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lsj1012 commented Jul 22, 2023

The dataset can't be downloaded, can you reply to it?

@kivinju
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kivinju commented Jul 22, 2023

Hi @lsj1012 @wy1663890176 @02666 @SANGHEEMOON I am no longer with TuSimple and it seems that the company has disable the links. Please use the Kaggle link to download the dataset: https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

@kivinju kivinju closed this as completed Jul 22, 2023
@lsj1012
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lsj1012 commented Jul 23, 2023

嗨,我不再使用 TuSimple,似乎该公司已禁用链接。请使用 Kaggle 链接下载数据集:https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

Thank you very much

@wy1663890176
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你好,你下载下来了吗,我注册不了账号

嗨,我不再使用 TuSimple,似乎该公司已禁用链接。请使用 Kaggle 链接下载数据集:https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

谢谢

@wy1663890176
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Hi @lsj1012 @wy1663890176 @02666 @SANGHEEMOON I am no longer with TuSimple and it seems that the company has disable the links. Please use the Kaggle link to download the dataset: https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

谢谢

@lsj1012
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lsj1012 commented Jul 23, 2023

你好,你下载下来了吗,我注册不了账号

嗨,我不再使用 TuSimple,似乎该公司已禁用链接。请使用 Kaggle 链接下载数据集:https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

谢谢

The download is complete

@wy1663890176
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你好,你下载下来了吗,我注册不了账号

嗨,我不再使用 TuSimple,似乎该公司已禁用链接。请使用 Kaggle 链接下载数据集:https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

谢谢

下载完成

xiexie

@wy1663890176
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wy1663890176 commented Jul 24, 2023

嗨,我不再使用 TuSimple,似乎该公司已禁用链接。请使用 Kaggle 链接下载数据集:https://www.kaggle.com/datasets/manideep1108/tusimple?resource=download

你好,想问一下,有生成的train_DRL_list.json和test_DRL_list.json这两个文件,我的环境运行会出错,生成的是空的,还有MyTuSimpleLane我文件夹里的所有文件都是空的

@02666
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02666 commented Aug 26, 2023

The file of test_DRL_list.json and train_DRL_list.json is empty. How can I solve it

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