Comments (1)
I think that your RGB scores are not quite right because we use pretrained encoder to get the score, and it would not change the score. In addition, there's a difference in SDF scores compared to ours. May I ask if you trained the SDF model yourself?
If not, you should verify that "preprocessing.py" and "cut_patches.py" are executing correctly.
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Related Issues (18)
- Where is “core.modules.model”? HOT 1
- Where can I find the pretrained weight of PointNet? HOT 1
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 1
- Why align the mean ±3× standard deviation of RGB scores with the mean ±3× standard deviation of SDF scores? HOT 2
- Can not increase the batchsize
- What the difference between the parameter 'split' in the function of 'get_featrue'?
- Why not train 3D model for each catergory respectively?
- Have you conducted ablation experiments on the parameter of overlapping ratio?
- Can we train the 3d model one sample a time but one patch a time?
- Why there is a rt in MVTec3DPreTrain?
- An OS bug is reported when I tried to run the main.py HOT 4
- The poor results HOT 13
- Could you provide code for detecting image anomalies and visualizing them HOT 1
- PCP Model instead of PointNet HOT 2
- A minor bug in cut_patches.py HOT 2
- .
- main.py error HOT 2
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