Pose Estimation with New State-of-the-art YOLO-NAS-POSE Model from DeciAI

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In this video 📝 We’ll be taking a look at the new YOLO-NAS-POSE model from Deci AI. This is a new state-of-the-art model for Pose estimation. We are going to take a look at the model, go over how you can set it up and use a pretrained model to make predictions. I will also show you how we can take a custom dataset, fine-tune the model on the dataset and export the model. Then we can use it in our own custom python script and projects.

👉All the 4 variants of YOLO-NAS Pose deliver a significant boost in accuracy compared to their equivalent YOLOv8 Pose model variants, redefining industry benchmarks!

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Timestamps:
0:00 Intro
0:37 YOLOv8 vs YOLO-NAS-POSE
1:20 Inference
3:50 Examples
5:45 Fine-tune Notebook
6:45 Animal Dataset
10:33 Model & Training
12:50 Evaluation

Tags:
#yolonaspose #poseestimation #ai #computervision #yolov9
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Hello,

I have completed the Coursera Deep Learning (TensorFlow) course, a Computer Vision course, and I've also read a book on deep learning(Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow)
However, I found that my understanding of computer vision is still at an intermediate level. Could you kindly recommend any expert-level books or online courses on the subject?

Thank you in advance for your assistance.

mokshithyj
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Could you make a video on adding accuracy metrics to yolo-nas

softwarain
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does it do depth? biggest drawback sadly of yolo and have to lift.

Jay-kbif
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Say I have a hand labeled dataset where I have made bounding boxes on what I want. How could I use stock pose estimation to label just the bounding boxes and none of the background individuals?

TheNitroPython