Hi Sir, thank you very much! May i ask what if i have some sample data of a building point cloud, but it has some open ends i think, making the mesh generate result has the warning: [Open3D WARNING] [SimpleShaderForTriangleMesh] Binding failed with empty triangle mesh. How could we overcome this? thank you!
Hmmm, the approach should work for any type of comple point clouds, therefore, it may be a good idea to investigate! You can reach me on learngeodata.eu, or in the discord channel and I will check out your dataset 😉
HAAAA! Merci beaucoup pour cette vidéo pépite! Je suis en plein travail de recherche sur les techniques de cartographie et cette vidéo est très enrichissante. Bravo et merci :)
Hi Sir, thank you for your videos and your effort I'm now working on a XYZ file format of a point cloud of neom area, and the file is about 500MB and also the file has the format of XYZ RGB and the Normals, but the normals are all zeros in all the rows. every time I run the code the kernal just dies, do you know the reason behind that? the file works fine in cloudcompare software but in the code does not as I said the normals are all zeros and the RGB values are between 0-255, and xyz just float numbers
Sir, is there any way to export the mesh as one of these files? I am trying to model in ABAQUS using point cloud data and am trying really hard to bridge the gap with an efficient process.... FILES: Nastran (.bdf, .dat, .nas) ANSYS (.cdb) STL (.stl)
Thanks! I work with realsense D415 sensor for 3d scanning human body. Can I build point cloud from sensor steam realtime? (Like recfusion, dot3d, lipscan do)
thank you so mush for your effort great videos and great information. If I want to calculate the volume of a shape like that what methods you advice me!!!!
Hello, at 4:25 you show that the Point Cloud you captured has proper normals. Hos did you get these? Did you estimate them after acquisition or were they computed during the capture? Actually, I'm really interested in learning about your capture method, and if it's possible to use a similar process for dynamic point clouds (volumetric video).
Hey @amartious2123 ! These where computed afterwards, as the initial ones where not properly oriented. The capture method is Photogrammetry, so I will make a video on that to show my process to get such point clouds and 3D meshes! It is indeed possible to capture dynamic point clouds, but the data volume will be on par :)!
Thanks. Great video. However, I have been having problems installing Open3d. My python is version 3.12. Is there a way to install it or do I have to install an older version of python?
Thanks! You have some ways but it is a bit broken (you have to compile from scratch). I would advise getting to work with an isolated environment with Python 3.9
Hey paul! I will make a video on installing open3d with conda then (else I recomment pip: pip install open3D), as with the new version it looks like they do not have ithe possibility with conda. Else, if you want an older version, you can use this line: conda install -c open3d-admin -c conda-forge open3d
@@FlorentPoux Thanks. However, I am learning now that conda frequently has issues recently; I reinstalled Anaconda and conda failed to install some other libraries also. I am switching over to using pip/pipenv for everything. Thanks for the reply!
Thanks! Yes indeed, but then you would have to transfer the vertex colors to the faces, which will a bitdegrade the quality of the texture. I will make another episode on point cloud meshing with texture creation
Thanks @DeepApnea! In this tuto, I used photogrammetry, but Nerf works as well, I just finished testing it on a simple scene, I will make a video on it if you are interested
Great great great video. 🎉🎉🎉🎉🎉 Very amazing video 👌👌👌👌👌👌 Huge love from india ❤❤❤❤❤❤ 🎇🎇🎇🔥🔥🎊🎉🎉❣️❣️💝💝🎈🎈🎈 Please make another video on how to convert mesh to surface solid and convert surface solid to solid body or convert mesh into solid body using python please please please 🙏🙏🙏
If we don't have normals, how can we compute them? I use pcd.estimate_normals(search_param=o3d.geometry.KDTreeSearchParamHybrid(radius=0.1, max_nn=30)), but the result is very bad
If you do not have normals, then, an approach like morphological deformation is better suited. I will do a video on it, on how to avoid computing normals. But maybe your point cloud has a geometry type that makes normal computation complex? Do not hesitate to share more on learngeodata.eu, we can deep dive your issue 🌞
Loved the demonstration. Thank you! Would this apply to full building exterior scans? I am working towards exporting building meshes out of a point clouds but the results have not been the best. Thanks
Yes, absolutely! This is the advantage compared to using watertight meshes approaches, here you can generate a full mesh of the exterior scan of a building!
Hey alloc, Thanks a lot! Sure, I am sorting out the best way to do that! So far, the code is available in the description, on the tutorials page of learngeodata.eu
Hi Sir, thank you very much! May i ask what if i have some sample data of a building point cloud, but it has some open ends i think, making the mesh generate result has the warning: [Open3D WARNING] [SimpleShaderForTriangleMesh] Binding failed with empty triangle mesh. How could we overcome this? thank you!
Hmmm, the approach should work for any type of comple point clouds, therefore, it may be a good idea to investigate! You can reach me on learngeodata.eu, or in the discord channel and I will check out your dataset 😉
Maybe if the open ends are planar, with known shapes, maybe write a random point generator function will be sufficient?
That was Great Bro!!!
thanks bro :)
Thanks, very interesting... Your point cloud voxelization to mesh approach is also very interesting, thanks 👌🏻👏🏻
do you think this procedure would also work well for less dense point clouds?
Yes it would! You just need to adjust the radius of your ball
I’d really love to see all the methods I’m glad I landed on this channel
Welcome aboard! Very happy to have you part of 3D learners :)
HAAAA! Merci beaucoup pour cette vidéo pépite!
Je suis en plein travail de recherche sur les techniques de cartographie et cette vidéo est très enrichissante.
Bravo et merci :)
Hi Sir, thank you for your videos and your effort
I'm now working on a XYZ file format of a point cloud of neom area, and the file is about 500MB
and also the file has the format of XYZ RGB and the Normals,
but the normals are all zeros in all the rows.
every time I run the code the kernal just dies, do you know the reason behind that?
the file works fine in cloudcompare software
but in the code does not
as I said the normals are all zeros and the RGB values are between 0-255, and xyz just float numbers
Can I do this with iPhone LiDAR Scanning?
Yes you can ! A video on it is coming soon ;)
hello , can i get the file point clouds example ?? thank you
Yes of course, you have that in the tutorials page in the description below
Thank you, Great introduction- just commenting on the background music kind of distracting- but the rest is golden 🔥
Haha thanks a lot for the feedback, indeed, I am learning how to edit, 1% better evry time haha!
would this work on like a 3d scan of a landscape from drone?
Yes it would!
@@FlorentPoux ok i have to try , let you know how its goes
Sir, is there any way to export the mesh as one of these files? I am trying to model in ABAQUS using point cloud data and am trying really hard to bridge the gap with an efficient process....
FILES:
Nastran (.bdf, .dat, .nas)
ANSYS (.cdb)
STL (.stl)
Yes, you can export as .stl file. I am working on another tutorial for parametric modelling
Nice video! how to get a nice pcd by using a ToF camera. My pcd is noisy.
Thanks ! I will make a tuto on this to help you
Thanks! I work with realsense D415 sensor for 3d scanning human body. Can I build point cloud from sensor steam realtime? (Like recfusion, dot3d, lipscan do)
yep this is feasible, just not with directly python :)
thank you so mush for your effort great videos and great information. If I want to calculate the volume of a shape like that what methods you advice me!!!!
Thanks a lot for your kind words! So if you want to compute the volume, you can use Convexl hull as a first approach, I hope this helps you!
id love to see how you created this point cloud!
Noted :)! Coming soon!
will you be doing the software version soon? I was wondering if you would do a quick consulting for me for hire?
Hi! Sure I can do both, and maybe also show to to create software from theses
Hello,
at 4:25 you show that the Point Cloud you captured has proper normals. Hos did you get these? Did you estimate them after acquisition or were they computed during the capture?
Actually, I'm really interested in learning about your capture method, and if it's possible to use a similar process for dynamic point clouds (volumetric video).
Hey @amartious2123 ! These where computed afterwards, as the initial ones where not properly oriented. The capture method is Photogrammetry, so I will make a video on that to show my process to get such point clouds and 3D meshes! It is indeed possible to capture dynamic point clouds, but the data volume will be on par :)!
Thanks. Great video. However, I have been having problems installing Open3d. My python is version 3.12. Is there a way to install it or do I have to install an older version of python?
Thanks! You have some ways but it is a bit broken (you have to compile from scratch). I would advise getting to work with an isolated environment with Python 3.9
@@FlorentPoux Thanks! It worked. I used Python 3.8
I cannot install Open3d with conda, which video has the instructions for obtaining open3d, please?
Hey paul! I will make a video on installing open3d with conda then (else I recomment pip: pip install open3D), as with the new version it looks like they do not have ithe possibility with conda. Else, if you want an older version, you can use this line: conda install -c open3d-admin -c conda-forge open3d
@@FlorentPoux Thanks. However, I am learning now that conda frequently has issues recently; I reinstalled Anaconda and conda failed to install some other libraries also. I am switching over to using pip/pipenv for everything. Thanks for the reply!
great video!, actually i wanted to create a water tight mesh , can you tell me which algo is best suited for that?
In that case, you may take a spin the Poisson reconstruction approach
I would love to learn how to turn images into point cloud.
Coming very soon ;)
Can I use these tools on Mac?
Hi @jeffreypartridge7201 , yes you can use these tools on Mac as well!
Thank you...Nice video
Is there any way to create texured mesh from this point cloud?
Thanks! Yes indeed, but then you would have to transfer the vertex colors to the faces, which will a bitdegrade the quality of the texture. I will make another episode on point cloud meshing with texture creation
Could one create a dynamic mesh with 4D splat point cloud data?
Hi steve! I am not sure I understand the question. You want to animate a Mesh?
Are you using nerf to create 2D images into 3D point cloud ?, good video :)
Thanks @DeepApnea! In this tuto, I used photogrammetry, but Nerf works as well, I just finished testing it on a simple scene, I will make a video on it if you are interested
Great video! Please also make a video on how to make a point cloud from photos
Great suggestion! And a Quick Wish granted 😉 I shot last week: ruclips.net/video/3TAs_xi6PAo/видео.htmlsi=6llRB8iYN2CW7Yj8
Hey this video is helpful so much, I have similar requirement to create a 3d object from series of 2d images is it possible
Super happy that it helps you a lot! Yes you can!
great tutorial
Thanks a lot!
Great great great video. 🎉🎉🎉🎉🎉
Very amazing video 👌👌👌👌👌👌
Huge love from india ❤❤❤❤❤❤ 🎇🎇🎇🔥🔥🎊🎉🎉❣️❣️💝💝🎈🎈🎈
Please make another video on how to convert mesh to surface solid and convert surface solid to solid body or convert mesh into solid body using python please please please 🙏🙏🙏
Thank you so much 😀
If we don't have normals, how can we compute them? I use pcd.estimate_normals(search_param=o3d.geometry.KDTreeSearchParamHybrid(radius=0.1, max_nn=30)), but the result is very bad
If you do not have normals, then, an approach like morphological deformation is better suited. I will do a video on it, on how to avoid computing normals. But maybe your point cloud has a geometry type that makes normal computation complex? Do not hesitate to share more on learngeodata.eu, we can deep dive your issue 🌞
Loved the demonstration. Thank you! Would this apply to full building exterior scans?
I am working towards exporting building meshes out of a point clouds but the results have not been the best.
Thanks
Yes, absolutely! This is the advantage compared to using watertight meshes approaches, here you can generate a full mesh of the exterior scan of a building!
Hey bro your content is awesome, I really liked it, can you please share the code resource for more guidance 🙏.
Hey alloc, Thanks a lot! Sure, I am sorting out the best way to do that! So far, the code is available in the description, on the tutorials page of learngeodata.eu
How can I get these point clouds?
You can download them from the article
Can you give le the code please
Yes of course, it is in the Medium article!
Share the code please
I added the link indescription (first link)
can u provide the source code?
Yep of course, it is in the comments, first link
give source code link plzz
I added in the comments, the first link
Squadrons sucked, i was hoping for an updated Tie Fighter, with great solo campaign and similar controls but instead we got an MMO
haha, I didn't play squadron! I am still stuck to the old X-Wing VS Tie Fighter
Thank you, but I hope you will grow from adding disturbing music to your videos.
Noted
were you playing dota with a controller wtf