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predict() support for pose estimation models #1142

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merged 23 commits into from
Jun 11, 2023

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BloodAxe
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@BloodAxe BloodAxe commented Jun 6, 2023

from super_gradients.common.object_names import Models
from super_gradients.training import models
from super_gradients.training.models import DEKRPoseEstimationModel

dekr: DEKRPoseEstimationModel = models.get(Models.DEKR_W32_NO_DC, pretrained_weights="coco_pose")
result = dekr.predict("Football-2.jpeg", conf=0.2)
result.show(keypoint_radius=8, joint_thickness=4)

pred_0

@BloodAxe BloodAxe marked this pull request as ready for review June 7, 2023 09:08
@BloodAxe BloodAxe changed the title [WIP] predict() support for pose estimation models predict() support for pose estimation models Jun 7, 2023
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@ofrimasad ofrimasad left a comment

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some minor comments and questions.
Are the colors defined here related to something? can't we just use some kind of colo-map?

@BloodAxe BloodAxe requested a review from shaydeci June 9, 2023 11:39
So we change the keypoint transforms defaults in config to use single scalar value
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LGTM

@BloodAxe BloodAxe merged commit a43cfcd into master Jun 11, 2023
@BloodAxe BloodAxe deleted the feature/SG-910-predict-for-pose branch June 11, 2023 12:32
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3 participants