8.1.1.6.1.3. blueoil.metrics.object_keypoint_similarity¶
8.1.1.6.1.3.1. Module Contents¶
8.1.1.6.1.3.1.1. Functions¶
|
Compute a object keypoint similarity for a batch of examples. |
|
Compute a object keypoint similarity for one example. |
-
blueoil.metrics.object_keypoint_similarity.kpt_oks_sigmas¶
-
blueoil.metrics.object_keypoint_similarity.variances¶
-
blueoil.metrics.object_keypoint_similarity.compute_object_keypoint_similarity(joints_gt, joints_pred, image_size=(160, 160))¶ Compute a object keypoint similarity for a batch of examples.
- Parameters
joints_gt – a numpy array of shape (batch_size, num_joints, 3).
joints_pred – a numpy array of shape (batch_size, num_joints, 3).
image_size – a tuple, (height, width).
- Returns
float.
- Return type
oks_batch
-
blueoil.metrics.object_keypoint_similarity._compute_oks(joints_gt, joints_pred, image_size=(160, 160))¶ Compute a object keypoint similarity for one example.
- Parameters
joints_gt – a numpy array of shape (num_joints, 3).
joints_pred – a numpy array of shape (num_joints, 3).
image_size – a tuple, (height, width).
- Returns
float.
- Return type
oks