YOLO-NAS Custom Object Detection | Fall Detection Using YOLO-NAS

Learn to use Pretrained YOLO-NAS and YOLO-NAS on custom dataset.

Training with SuperGradients, Deci's open-source, PyTorch-based computer vision library, enables advanced techniques like Distributed Data Parallel, Exponential Moving Average, Automatic mixed precision, and Quantization Aware Training.
SuperGradients is fully compatible with PyTorch Datasets and Dataloaders, so you can use your dataloaders as is.

#yolo-nas #computervision

[omermelezat]

Thank you so much. When a new yolo model has been released, I always wait your videos for more and clear understanding.

[deepakts]

Thanks a lot mam, the way you explain is very helpful & easy to understand. Your work is inspiring.

[shwetabhat]

Great content ma'am ..just love the way you explain 🎉🎉 Thank you .

[Rodrigo.Aragon]

Great content. Keep it up!🔝💯 Greetings from Guatemala 🇬🇹

[Deepsim]

Great and easy understanding tutorial video!

[kthakrar]

Your content is wonderful. Thank you for sharing with the community!

[danielalejandronavarroluna]

Good Explanation, im learning from Colombia

[AliOsmanHocam]

Thank you for an excellent explanation.👏

[mautushidas]

hello, thank you so much for explaining everything. I have a question. after training on custom data in checkpoints folder it is saving both the best and latest ckpt.pth. I just wanted to save the best checkpoint only. How can I do that.

[trendyimpacttv]

my colab keep crashing when i try to execute that training block, it throws an error "you colab session crash for unknown reason". my train images are 36, test images are 12, and val images are 9. batch size i have kept just 2. i have tried minimum possible data and batch size because everywhere i searched about the issue they says its about the memory limitations while these are so lower data that it should not cause memory issues

[abd-alrhmanabdallah]

How can I prepare dataset_params if I have a dataset structured as follows: Vid1/images and labels, Vid2/images and labels, and so on up to Vid100? The dataset consists of multiple videos, with each video stored in its own folder.

[shashwatpandey]

Hey there I got my local system at 128GB RAM, and RTX 3090 24GB card, I don't know why but the kernel dies soon as the training starts. Is the system requirement not sufficient or is it a problem with the code?
Can you help out!

[ashberten]

Great video. Thank you so much. How can I use it on smartphone? Is it possible to convert it into TFLite?

[HH_Life]

Thank you for sharing !

I am currently facing the following issue:

super-gradients 3.1.0 requires pyparsing==2.4.5
, but roboflow requires pyparsing==2.4.7.
Pyparsing version is incompatible.

do I need to resolve this issue?

[zncwtyt]

I have 1000 test images but when using your code it only runs through 100 images. Can you help me solve this problem?? Because I want it to run through all 1000 photos

[CG-Highlights]

Maam can u please help me with this issue.
When running this command "trainer.train(model=model,
training_params=train_params,
train_loader=train_data,
valid_loader=val_data)"
I'm getting the following error : 'Trainer' object has no attribute 'train_loader'

[phibansabethnongkseh]

I already installed super gradients library in my jupyter notebook but still it shows no module found even after restart the kernel too

[mohamedsmouni]

thanks for the great content i have question, how we can generate the plots like ones we get by default in yolov8

[ykfrzhh]

why am i getting error of microsoft c++ build tools (
which i have updated) on intsalling super-gradients?

[TugceKeskin-pxwh]

I tried the run notebook and when in the training step, I got the "'Trainer' object has no attribute 'train_loader'" error.