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sar-net's Issues

Question about SAR-Net Results

I am interested in your work, and I am trying to compare the results of your method (SAR-Net, CVPR22).
Can you share your method .pkl files of Table 1 on the REAL275??
image

If you can share it quickly, it would be of great help.
My email is [email protected]

如何制作自己的数据集?

您好!您的工作非常棒!非常值得学习!如果我们想跑自己的场景,该如何制作数据集?您能指导下制作的步骤吗?

如何处理得到camera_train_processed?

目前想使用自己的数据集进行训练,但是暂且无法准确确认camera_train_processed以及{}_fps_36_normalized.obj是如何生成的?请问你们会发布这一部分的处理代码吗?

如何进行推理

您好,这个代码有训练,评估文件。但是我没有找到推理。

求学

大佬,能把代码开源一下吗/

Trajectory planning of Seven-axis robot

I saw the demonstration with the baxter, and the trajectory planning of the robot arm is very smooth.
I feel uncertain because when I planned the motion trajectory with moveit, the robot arm always obtain an unexpected trajectory.
Is it that because I added some barriers in the simulation environment? I can't figure it out.

关于开源日期

您好,非常拜读您的作品,也在时刻关注着您的作品,之前看到您回复其他人的消息,说是大概七月底之前能够开源,最近看一直没有动态更新,想请问一下大概什么时间能够开源呀,非常感谢!麻烦了!

evaluate.py的使用问题

   作者您好,我按照readme进行相关配置后,运行evaluate.py,会在175行,189行等处报错,无法检索到“pred_class_ids”等关键字。使用的数据集是readme中提到的的[mrcnn_mask_results]。我在该数据集pkl文件编码后的结果中找不到“bbox”,我需要对该数据集先行做什么处理吗?

关于代码

您好,关注您的工作两个月了,每个星期都会看看有没有开源,请问可以给个开源的准确时间吗?非常渴望能拜读您的代码

camera_train_processed 文件

您好!我想要下载Readme中所提到的camera_train_processed文件,但是点击后,并没有获得文件下载网址。随后发现链接指向的是开源代码界面,能问一下要怎么下载这个文件呢?

在CAMERA25上训练的模型在REAL275上达不到论文上的效果问题

您好!再次打扰您!
我利用您开源的代码并且根据您发布的制作预处理数据的步骤完成了模型所需的各个输入文件。我利用CAMERA25训练集训完模型(4卡v100进行,batch_size改为64,num_workers改为64,epoch为100,其他没有变化)后,对CAMERA25的test集和REAL275的测试集进行了测试,在CAMERA25的测试集上的结果非常好,与原论文一样;但是在REAL275测试集上的效果比较差,结果如下所示:
mAP:
3D IoU at 25: 81.0
3D IoU at 50: 69.7
3D IoU at 75: 26.3
5 degree, 2cm: 26.3
5 degree, 5cm: 37.1
10 degree, 2cm: 44.4
10 degree, 5cm: 64.7
10 degree, 10cm: 66.4
Acc:
3D IoU at 25: 89.7
3D IoU at 50: 81.3
3D IoU at 75: 42.5
5 degree, 2cm: 41.8
5 degree, 5cm: 50.8
10 degree, 2cm: 58.4
10 degree, 5cm: 72.5
一开始我们以为是增大了batch_size后epoch没变,更新的次数变少了,于是我们增加了epoch的数量,达到300,再次对REAL275进行了测试,结果如下:
mAP:
3D IoU at 25: 80.8
3D IoU at 50: 69.1
3D IoU at 75: 26.0
5 degree, 2cm: 25.9
5 degree, 5cm: 37.1
10 degree, 2cm: 46.9
10 degree, 5cm: 66.4
10 degree, 10cm: 68.5
Acc:
3D IoU at 25: 89.4
3D IoU at 50: 80.6
3D IoU at 75: 43.2
5 degree, 2cm: 41.4
5 degree, 5cm: 50.4
10 degree, 2cm: 60.6
10 degree, 5cm: 74.1
请问在数据处理的过程中,是有什么先后顺序吗?

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