YOLO [You Only Look Once] Object Detection

Tensorflow Implementation of YOLO v1 Object Detection.
Paper: arxiv.org/abs/1506.02640
[C] Project: github.com/pjreddie/darknet
[Tensorflow] Project: github.com/dshahrokhian/YOLO_...
Song: Voicians - Survival League

[@levlev.1028]

not sure how this ended up in my yt recommendations but it seems cool asf 😅

[@FilterYT]

This is very cool, thanks for sharing!

[@dshahrokhian]

Thanks for watching.

[@Zlx-sx9gt]

Amazing 👌👌👌👌

[@lujia]

Is there a way to ease the sudden change in bounding box size?

[@seenPunktSee]

spot the *horse*

[@FastNotSave]

So this network is labelling a Transformer as a Person. Interesting :D

[@dshahrokhian]

Or a motorbike (0:30).

[@willysatrionugroho8086]

That's because transformers so ambiguos like a shemale. Shemale have 50% chance as a male or a female unless you see his adam apple.

[@larryguo2529]

Tks for posting, great sharing.
I got some info that without a GPU, it may take 1-2s per frame,
What If I only like to identify certain categories ? (say, only car, and motocycles), could it increase the speed (without GPU) ?

[@dshahrokhian]

The inference will take the same time since the only difference is the number of categories that you trained the network with. The architecture of the network remains the same, thus the elapsed time from input to output will also remain the same.

[@larryguo2529]

ok, tks for the reply.....(still thinking a way to increase the speed on cost economic embedded platform )...

[@jochem3368]

Is it possible to assign two categories to 1 objects for example: car and yellow

[@realsnoby]

hvh

[@sannidhyabalkote9536]

Csgo be like

[@larryguo2529]

pls check tensorflow page link,,,,404...

[@dshahrokhian]

It's public now.