HOW TO DEPLOY YOLO-V5 !! YOLO-V5 - OBJECT DETECTION

[@purnimarai7577]

Thank you so much Sir for making it easy for us. Keep uploading.

[@coder_zero]

Thank you ☺️

[@bhuvneshvarvashistha6335]

Thanks For Uploading, You Save My Day :)

[@coder_zero]

😃😃

[@youness4295]

Thank you so much Sir for thoses informations.
How can we deploy this model into a mobile device ?

[@coder_zero]

Hi, I have never worked mobile phone. The following article looks interesting. Please have a look at this article towardsdatascience.com/deep-learning-on-your-phone-pytorch-lite-interpreter-for-mobile-platforms-ae73d0b17eaa

[@arcaderp6048]

did you use video data for training also or only for testing?

[@coder_zero]

Hi, video for testing only.

[@techease207]

Thank you sir for the video. Can you also tell me how to deploy it using flask ?

[@coder_zero]

Hi, I am working on it. Will upload soon. 😄

[@rajatbishnoi7434]

The data on kaggle is not in correct labeled format also many steps are unclear on previous video.

[@coder_zero]

Hi, data is correct. I have used the same data to build my model. Please go through the steps again 😃

[@shalinikumar5621]

Thanks for sharing.

[@coder_zero]

Thank you 😃

[@meghanarprakash7862]

is it possible to add 2 modela of yolov5 in 1 program?

[@coder_zero]

Yes. It is possible.

[@DUKAHOLIC]

Thanks for sharing. I got a question
Can we use the bounding box of "no mask" and send it as input to another model to recognize face of person not wearing mask?

[@coder_zero]

Yes.. we can.

[@prashantwaghmare5453]

Please upload flask api on same yolov5

[@coder_zero]

Will upload soon

[@umar_muhammad_yaree]

Thank you very much for the tutorial
I have a task which is pedestrian detection
I want to be able to detect pedestrians in a video and count how many people are visible.
Do you have any idea how i can create such model with YOLO v5 cpu not gpu
Thank you very much

[@coder_zero]

Hi, please visit this link github.com/ultralytics/yolov5/issues/36 . After loading the model by hub you can transfer to any devices. model.cpu() to transfer to CPU execution. 😁

[@umar_muhammad_yaree]

@@coder_zero thank you very much 🤗🥰

[@abhiramkuruva9840]

I don't have yolo master folder

[@coder_zero]

Hi, yolo master is the yolo GitHub repo. I changed the name for my understanding.

[@mohamed.hassanhassan314]

Hallo my friend
You know about yolov5v on cpu
On neural magic
Pleaze anwer me

[@coder_zero]

To use on CPU for inference, you can do this ---- model.cpu() after loading the model or model = torch.hub.load('ultralytics/yolov5', 'yolov5s', device='cpu') i.e. add device='cpu' while loading the model

[@labidubed1962]

@@coder_zero can you make a tutorial using neural magic for yolov5 on cpu? Because it can increase FPS

[@ankithcs20]

the rar file is corrupted

[@precisionleadthrowing4628]

using great tools for horrible deeds. how human.