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How to train a YOLO-NAS Pose Estimation Model on a custom dataset step-by-step
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In this video 📝 we are going to take a look at how you can train a YOLO-NAS pose estimation model on a custom dataset. I'll walk you through every single step in the training pipeline, all the way from setting up and annotating your dataset, how to export it and use it in a Google Colab notebook. Then we will set up our data loaders and some configurations before starting the training of the custom model. At the end, we are of course going to take a look at inference with our best trained model.
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Timestamps:
0:00 Intro
0:19 YOLO-NAS Pose Documentation
3:46 Annotate Dataset
9:19 Imports
10:23 Sneak-peak Inference
12:03 Setup Trainer
12:32 Download the Dataset
13:40 Configuration File Structure
16:11 COCO Dataset Structure
17:26 Utility functions
18:51 Dataloaders
20:29 Keypoint Transformation
20:53 Setup Transform
21:40 Train Dataloaders
22:09 Instantasing The Model
22:47 Training Parameters
24:14 Training The Model
25:48 Training Results
28:55 Inference Custom Model
31:10 Outro
Tags:
#YOLO-NAS-Pose #CustomPoseEstimation #supergradients #yolonas #poseestimation
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