Ай бұрын
3 ай бұрын
6 ай бұрын
Жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
2 жыл бұрын
3 жыл бұрын
3 жыл бұрын
3 жыл бұрын
3 жыл бұрын
Пікірлер
@user-rq9gl7en9n 24 күн бұрын
it is so similar to RTABMAP
@VorpalForceField Ай бұрын
Impressive ...!!! Thank You for sharing .. Cheers :)
@pleabargain Ай бұрын
Okay. It's cool but put your jargon into layman's terms. What is the significance of this flight path? You told the drone to fly around and not crash?
@TheBarthew Ай бұрын
Love it! Did you test it on a high altitude mission?
@khangletruong8196 3 ай бұрын
Very interesting! I wonder if there would be any chance to test/evaluate this with your sdk on our drone ?
@SpectacularAI 3 ай бұрын
Generally yes, as a commercial NRE/pilot project. Contact us at www.spectacularai.com/#contact for more details. Please include a high-level description of your hardware and use case.
@sudarshanpoudyal5089 3 ай бұрын
Will it be supported in opensource sdk. .
@malaysiastreetview 3 ай бұрын
👍
@tamiopaulalezon9573 3 ай бұрын
what iphone did you use here
@user-uu9yy6fr3l 3 ай бұрын
Astra 2 ，It has the best 3D restration capability，especially corners
@alessandro_valli 3 ай бұрын
Can you articulate? Have you tried both?
@DongPham-kj9rb 4 ай бұрын
Have you achieved colors for OAK cameras?!
@DongPham-kj9rb 4 ай бұрын
Thank you
@gusstplt 4 ай бұрын
I try to use SpectacutarAI but after recording data from an android smartphone, when I launch s "sai-process" it get on two different computer (1 on windows(portable computer) , 1 on linux(GPU server) : SpectacularAI ERROR: x:441 Abandon (core dumped) I don't know what to do.
@uzaiftalpur6210 5 ай бұрын
@SpectacularAI how can I process without OAK-D? any other way to use such devices
@Mark001986 5 ай бұрын
Very nice! Is the lidar used for SLAM tracking and bundle adjustment?
@GroFilms 5 ай бұрын
LOVE this presentation- awesome!!
@alessandro_valli 5 ай бұрын
Which one would you recommend for indoor use? Astra 2 or Femto? I am interested in having the higher resolution possible. Thank you!
@SpectacularAI 5 ай бұрын
Femto. It has the best depth sensor for indoor use
@michelesacco1638 4 ай бұрын
@@SpectacularAI Yes but it can't see black surface
@alessandro_valli 3 ай бұрын
@@michelesacco1638really?
@user-kw8kt7cs5x 5 ай бұрын
I thought this is same but a little different. If someone just want to 6 axis about motion, it doesn't matter, is it? In the event of vr, it doesn't matter. also If someone more improvement somethings, get a good things. But this video is interesting ;)
@kamalakrishnan9427 5 ай бұрын
The link provided just directs us to this video which tells us to install the requirements.txt. There is no requirements.txt in the git hub repo. Help. @SpectacularAI
@Deadnature 5 ай бұрын
Can this be done on a mac studio m2?
@engfernandolsf 5 ай бұрын
how much is this equipment? is a budget solution to scan and bring a house or small company to a 3d model?
@OlgaLight13 5 ай бұрын
I can't seem to find the requirements.txt file and i do pip install spectacularAI and it doesn't work. Please help!
@SpectacularAI 5 ай бұрын
The most up-to-date instructions can be found here spectacularai.github.io/docs/sdk/tools/nerf.html (you should "pip install spectacularAI[full]")
@kamalakrishnan9427 5 ай бұрын
No, The link provided just directs us to this video which tells us to install the requirements.txt. There is no requirements.txt in the git hub repo. Help. @@SpectacularAI
@SpectacularAI 5 ай бұрын
You're correct that the page links to this video, which has some outdated info. You can skip that part of the docs (no need to follow the full video at that point) and follow the rest of the instructions on the page. The requirements.txt has been removed. The new command you should run is "pip install spectacularAI[full]" (notice the "[full]"). You may have to uninstall (pip uninstall spectacularAI) first if you have an older version.
@naurk 6 ай бұрын
VRAM required?
@SpectacularAI 6 ай бұрын
The 3DGS models in this video were trained on an NVIDIA GeForce RTX 3080 Ti, which has 12GB of RAM
@wrillywonka1320 7 ай бұрын
But we cant use gaussian splats in any video editing software. They are awesome but pretty much are useless
@SpectacularAI 6 ай бұрын
The splats (or efficiently training them) is a new technology that has did not exist a few months ago. The amount of software that will support them in some form will probably increase quite a lot in 2024, but you are right that the support currently rather limited.
@cekuhnen 4 ай бұрын
They are pretty useful because you can relight them and don’t need meshes and textures to render.
@wrillywonka1320 4 ай бұрын
@@cekuhnen thats true. I mean honestly i love how detailed they are compared to meshes and how easy they are on computing power but for someone that uses da vinci n blender there is really no way to utilize this great tech
@cekuhnen 4 ай бұрын
@@wrillywonka1320 yeah it has limited use only
@zyang056 7 ай бұрын
Is the ios app source available for customization?
@SpectacularAI 7 ай бұрын
iOS app and tutorial video released! kzfaq.info/get/bejne/mp1nqJB2npy6hqs.html
@prarthanahegde9819 7 ай бұрын
Hii, can we implement real time mapping just like shown in the video with just Real Sense D455 camera. I dont have the OAK-D.
@JReinhoud 7 ай бұрын
Please share settings of the Kinect and RTAB-Map. And did you use standalone RTAB-Map or ROS with RTAB-Map?
@user-po9tp9xg3y 8 ай бұрын
I try，but it shows “SpectacularAI WARN: VIO may be running too slow, data is being input too fast, or IMU samples are missing / time-offset from frames. (buffer size 10)”.How to slove？
@jakesnake5534 8 ай бұрын
Nice
@tbuk8350 8 ай бұрын
Dang, ARCore is rock solid the whole time lol
@bernat4289 11 ай бұрын
Very impressive. What kind of hardware configuration is used to integrate RTK data?
@yiboliang8338 Жыл бұрын
Cool. Now I am just going to buy a 40$ second handed screen-cracked Sharp R5G with TOF sensor as the depth camera and the computing board for my project to run ARCORE.
@metalthower Жыл бұрын
I would like to do this with a trail mapping bike - outdoors. Is this possible with an OAK-D-Pro?
@seble_pikachu3732 Жыл бұрын
It's really interesting to compare the results you can get in a VISLAM with a 2 euro IMU and a 150 euro IMU. Depending on your means and desired performance, you can easily choose one IMU or the other thanks to this comparison.
@naeemulhoque1777 10 ай бұрын
its good to have.
@kimsanmaro Жыл бұрын
can i get more information about GPS, ZED fusion? or any github rep anthing about fusion. please help. i want to more detail...
@liangzijian4452 Жыл бұрын
Great work! 👍I've been following SpectacularAI's sdk for a long time and have tried to apply oak's examples to my drones. But the results would drift badly. The camera I'm using is also oak-d-pro-w, do I need imu calibration, or some other action to achieve the results in the video?
@SpectacularAI Жыл бұрын
This has been improved significantly in the latest SDK versions. Depending on your hardware and, e.g., the level of vibration noise in the drone, the performance may also benefit from use-case-specific parameter tuning, which is available as a commercial service.
@seble_pikachu3732 Жыл бұрын
Was the µc Raspberry Pico just there to interface with the camera ? Or was there an algorithm on it ? Tanks and congratulations for the results !
@SpectacularAI Жыл бұрын
The MCU currently reads the IMU and triggers the camera, which also causes the IMU and camera timestamps to be accurately synchronized in the same monotonic clock. It is not strictly necessary to use one but it is a technically convenient choice.
@vitaliisamotaiev1215 Жыл бұрын
did you add support for ARMhF?
@MultiRotorairview 3 ай бұрын
Looks like nope(
@imignap Жыл бұрын
Very cool! Fusing the optical data with the IMU to dead reckon. Wish that Murata was cheaper... Jw why no 3d mag?
@matspg Жыл бұрын
Thanks for posting this - I have a question: in the first test, the light grey is ground truth. The red and the blue tracks - are those from IMU *alone*, or are they from SLAM with the corresponding IMU. (if they're from IMU alone, that's incredible to me...way better than I expect). Thanks!
@SpectacularAI Жыл бұрын
They are computed using visual-inertial SLAM, where the image data is the same for both tracks but the IMU is different
@sudarshanpoudyal5089 Жыл бұрын
Can you make the hardware setup opensource. I am unable to find low cost visual inertial sensor setup currently.
@kljnjon Жыл бұрын
Very impressive stuff.
@horserenoir3553 Жыл бұрын
Could you tell us what computer set-up you used for the data acquisition while walking around? I'd love to do the same here in my town but haven't come across a mobile computer that could handle the data in real-time (+ a small monitor to observe the whole process).
@jimxu1825 Жыл бұрын
cool, will that be colored?
@gamekida4007 Жыл бұрын
super awesome!! Is this open source for ARM devices ?
@chiowa Жыл бұрын
really cool! is this possible using the non-commercial version?
@user-bs7bb6zk9w 2 жыл бұрын
Nice video! Comparisons between Spectacular AI with OAK-D, RTK-GNSS, and T265 were very informative. Thank you. One question. In this video, you tested outside, how about inside of a building? Though RTK-GNSS is not available in a building, I want to know differences between Spectacular AI with OAK-D and T265 in indoor conditions. Thank you.
@piamsuknoipong3811 2 жыл бұрын
I've been use RTAB-Map too but the map so very poor. Can you tell me some suggestion or give me a source code, Please?