Muhammad Ichsan

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I face same problem too. I think we should use older version QGIS (2.18) and InaSAFE 4.4. It more stable I think

Oh well. I tried using QGIS 2.18 and InaSAFE 4.4. I didn't too. I'm sorry for wrong suggestion

> The tile mode is provided for limited GPU memory when testing. The setting can be referred to > > https://github.com/XPixelGroup/HAT/blob/1d157411076a2d485b13c711a6a521abf62758b0/options/test/HAT_tile_example.yml#L7-L9 wow thanks for that implementation, I will test it...

Lets try with meshlab `/code/odm_filterpoints/point_cloud.ply` has colored point cloud ![image](https://user-images.githubusercontent.com/60387342/153702499-4ed48fc6-aaf3-4652-81df-96eeb8bf70f3.png) I use **meshlab's screened poisson** with `Resolution depth` is 11 and `Adaptive Octree Depth` is 8. The result is good...

BONUS : Another photogrammetry software result IMO, I have said the **ODM** texture was better than **Reality Capture**, here is the screenshot ![RealityCapture-3rd](https://user-images.githubusercontent.com/60387342/153702912-5afafdbe-27b9-4596-931b-4f2f5c8025d8.PNG) Keep good works ! But, **Reality Capture**...

> The key problem is that currently mvs-texturing does not support texture interpolation. > > Would you be interested in adding support for it? Thanks for your information that mvs-texturing...

> > I'm currently running Ubuntu 20.04 and was getting the `pycairo` PEP error as well. What I ended up doing to get things working was: > > > >...

You have 2082 instances in just 79 images? Wow, I think thats the problem. **From my experience**, I suggest to use more images but has 10 - 20 instances/image. It...

Seems similar problem with this thread https://github.com/ultralytics/ultralytics/issues/334 Their problem solved after updating to the newest yolo. They also use CLI, for example ``` yolo task=detect mode=train data="my_data.yaml" epochs=100 imgsz=640 device=\'0,1,2,3\'...

It also happen to me with same exact error message...