Asked
— Edited
Resolved by ptp!
DJ and Team,
Have you seen the TensorFlow / Darknet / YOLO Real-time Object Detection videos? A friend of mine has implemented it on his PC and OMG, it is the fastest and most accurate object identification software that I have ever seen. It is light years beyond Open CV. And the best part is that like Open CV, it is also open source. It is a neural network program which it runs on Windows (and Linux).
TED Talk:
https://www.youtube.com/watch?v=Cgxsv1riJhI
Have you ever thought of adding this to EZ Builder?
Thomas Messerschmidt
Object detection/recognition
--Thomas
I finally have DTY (Darknet/Tensorflow/YOLO2) working with ARC. DTY classifies/identifies an object. I added code to then output what it sees to a text file. Then I read the text into ARC, and finally parse it and assigns each atribute to a variable. The attributes are
- OBJECT
- CONFIDENCE
- TOP
- BOTTOM
- LEFT
- RIGHT
- HCENTER
- VCENTER
- TIMESTAMP
I hope you'll get to share more on how your did it, I'd like to follow in your foot steps and experiment. With TensorFlow I assume you used the 'CPU' install instead of the GPU install?
I was pricing a multi unit GPU system the other day...PHEEWWW! I was not prepared for those prices!
Good job.
Compiling Yolo is quick, regarding Tensorflow:
How long it took to compile ?
Did you enabled AVX2 extensions ?
(write text/read in) pointed by Justin follows the KISS principle !
I'm working on a different integration, not so simple .. so no results yet.
Thanks.
I'm running it from Atom/Python with a few changes.
Best of luck on your implementation!
Me: do you see a dog?
Robot: yes. It's on my left. (Points to the dog.)
Do you think it is possible to send the Values from YOLO directly to the Http Server, this would eliminated to read and write a .txt file and speed up things significantly!
Here is my to do list:
1. Put a demo video up this weekend showing the software working.
2. Put up a video showing the robot running via ARC.
3. Put up a Tensorflow / darkflow / YOLO instructional video with links to all the needed software.
4. Put up a Atom installation video
5. Put up a OpenCV installation video
6. Correct any errors
7. Answer all questions
8. Improve as needed
Depending on your internet connection, setting this up should take less than a half of an hour to install and get working. You will need a computer with good "horsepower" under the hood--a strong 4 core processor and at least 8 GB of RAM. And a GPU will get you up to 10-30 images processed per second. I don't have a GPU, so the best I get is about 1 image every 2 or 3 seconds.
I put up a demo video with tensorflow/YOLO/Darknet/Darkflow on YouTube:
Looking forward to see the setup and it would be great if you could share the ARC Project! Cant wait to try it myself!
Btw, I heard there are a few faster version of YOLO out there with a reduced amount of trained objects, can you confirm this?