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Hi, i want to recognize when a person is raising their hand. My idea is to calculate when the keypoint of the hand is greater than the keypoint of shoulder (something like that). But I'm not able to get the keypoints of the body. Please i really need help :( .
I'm using supergradients -> 3.7.1
And the way i'm doing the recognition is:
`
import super_gradients
import torch
from super_gradients.training import models
from super_gradients.common.object_names import Models
device = 'cuda' if torch.cuda.is_available() else 'cpu'
model = models.get(Models.YOLO_NAS_POSE_N, pretrained_weights="coco_pose")
model = model.to(device)
model.predict_webcam(conf=.75)
`
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The text was updated successfully, but these errors were encountered:
💡 Your Question
Hi, i want to recognize when a person is raising their hand. My idea is to calculate when the keypoint of the hand is greater than the keypoint of shoulder (something like that). But I'm not able to get the keypoints of the body. Please i really need help :( .
I'm using supergradients -> 3.7.1
And the way i'm doing the recognition is:
`
import super_gradients
import torch
from super_gradients.training import models
from super_gradients.common.object_names import Models
device = 'cuda' if torch.cuda.is_available() else 'cpu'
model = models.get(Models.YOLO_NAS_POSE_N, pretrained_weights="coco_pose")
model = model.to(device)
model.predict_webcam(conf=.75)
`
Versions
No response
The text was updated successfully, but these errors were encountered: