Comments (5)
Hi @fxy2012 , tbh, I don't know how to make it work on a windows machine. If you need to visualize the pc, I suggest you use Matlab in windows OS.
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@Yang7879 Thank you for your reply. I have solved this problem. But the codes for visualization in main_eval.py
always show that sem_gt_all is empty. Does there something wrong with the array sem_gt_all
?
And I would like to know how I could get the segmentation of the object ,which will show the boxes around the object.
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@fxy2012 , (1) Plz check whether the sem gt labels are well loaded from your datasets. (2) After obtaining the instance segmentation results, you may compute the bounding box by checking the min-max vertex.
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@Yang7879 Thank you for your help! I have solved the problems above. Then could you please tell me how you compute the mPrec on dataset S3DIS ? Prec = The boxes whose IoU >0.5 / The number of total boxes( In one scene). Is this right? Then the mean Prec is the average of all scenes. Is it right?
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@fxy2012, For each category, the Prec is computed after gathering predicted results from all scenes. The mPrec is the average score from all categories. Plz check the code below carefully.
Line 264 in 37bf0be
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Related Issues (20)
- No need to remove duplicate bbox? HOT 1
- train net with scannet HOT 4
- 11
- 关于 instance labels HOT 1
- 训练自己数据集的问题 HOT 17
- test results HOT 1
- Questions about the visualization of results HOT 2
- 关于预测结果中的pmask_pred_raw变量 HOT 1
- visualization S3DIS HOT 3
- 在scannet的预测结果 HOT 2
- 数据集转换 HOT 1
- Compiling in Cuda 11.1
- How to separate each instance of point cloud instance segmentation?
- model not found, all weights are initilized train files: 0 test files: 0
- about label
- Wrong test results
- 关于Scannet数据集
- 感觉这份代码对于实际工作几乎没什么意义 HOT 2
- 如何制作自己的数据集 HOT 3
- How to calculate APs
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