ฝัง
- เผยแพร่เมื่อ 13 มิ.ย. 2024
- Description:
Today, we are open-sourcing the Roboflow Inference Server: our battle-hardened solution for using and deploying computer vision models in production, and announcing Roboflow Inference, an opinionated framework for creating standardized APIs around computer vision models.
Roboflow Deploy powers millions of daily inferences across thousands of models for hundreds of customers (including some of the world’s largest companies), and now we’re making the core technology available to the community under a permissive, Apache 2.0 license.
Chapters:
- 00:00 Introduction
- 01:17 Docker
- 03:24 Image Client
- 08:14 Video Client
- 09:58 Models
- 11:19 Outro
Resources:
- 🌏 Roboflow: roboflow.com
- 🖼️ Roboflow Inference Repository: github.com/roboflow/inference
- 📚 Roboflow Notebooks Repository: github.com/roboflow/notebooks
- 🌌 Roboflow Universe: universe.roboflow.com
- 🗞️ Open Source Computer Vision Deployment with Roboflow Inference Blog Post: blog.roboflow.com/open-source...
- 🚀 Inference Client Examples Repository: github.com/roboflow/inference...
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Stay updated with the projects I'm working on at github.com/roboflow and github.com/SkalskiP! ⭐ - วิทยาศาสตร์และเทคโนโลยี
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Superb presentation thank you
As always, great video Peter! I can get inference server up and running in docker using the GPU image, but not the tensorrt image. I will keep troubleshooting, it is teaching me a lot about docker 😁
Liked You sir for such helpful stuff.
Thank you brother for the one of a kind help and support in computer vision.
We are doing our best :) Thanks a lot!
Literally I was a noob before starting and thinking to give up . But you guys came to rescue. Much love from INDIA @@Roboflow
@@mrbot4one This is no nice to hear :) Biggest complement I could get!
Me too this was helpful in clearing up my confusion
Great video as usual 👍
Thanks a lot! Next one is coming soon.
thanks for open sourcing this library very useful for using trained model on roboflow
can you explain how to use the local model like yolov5 or mmdetection using the roboflow inference ?
What about rtsp camera?
Hey Skalski and team, Will you make a tutorial on Autodistill image annotation with manual check on the annotated image. Actually I have used that code and some parts of images are not annotated properly. I want to modify and fine tune it too. If you update the code or upload a video it will be really helpful. Thank you so much team ❤
Would a blogpost or something like that be sufficient? It is quite a lot of work to make video about it ;)
@@Roboflow Yes that would do the work. Thank you. Whenever you guys post the blog just share the link in comments in Autodistill video so that others could take help from it too.
i would really appreciate such a post as well. Thanks alot for your amazing work! @@Roboflow
I would love such a post as well
@@Roboflow Hey Skalski and team. Did you guys make this type of blogpost or someting. We are waiting for the help. Thank you
❤
can i use a fine-tuned YOLOv8 model with inference? would you make a tutorial?
Yes you can! It is on our TODO list. Stay tuned.
@@Roboflow i will be, mi college titulation project depends on your tutorials 🙏🏻
"Inference Server"
That's why I don't use Roboflow for my deployments. Although Roboflow is a cool tool, I'd rather learn how to create and deploy new models locally without needing an internet connection. I don't want to depend on online services that might have security issues or start charging higher prices by using my models as "hostages".
Sorry, but I won't use it for deployment - just for research and testing with synthetic datasets.
I was actually wondering the same thing you saved me hours of research Gabriel thanks !