Options for the pose landmarker task.
mp
.
tasks
.
vision
.
PoseLandmarkerOptions
(
base_options
:
mp
.
tasks
.
BaseOptions
,
running_mode
:
mp
.
tasks
.
vision
.
RunningMode
=
mp
.
tasks
.
vision
.
FaceDetectorOptions
.
running_mode
,
num_poses
:
int
=
1
,
min_pose_detection_confidence
:
float
=
0.5
,
min_pose_presence_confidence
:
float
=
0.5
,
min_tracking_confidence
:
float
=
0.5
,
output_segmentation_masks
:
bool
=
False
,
result_callback
:
Optional
[
Callable
[[
PoseLandmarkerResult
,
image_module
.
Image
,
int
],
None
]]
=
None
)
Attributes
The running mode of the task. Default to the image mode.
PoseLandmarker has three running modes: 1) The image mode for detecting
pose landmarks on single image inputs. 2) The video mode for detecting
pose landmarks on the decoded frames of a video. 3) The live stream mode
for detecting pose landmarks on the live stream of input data, such as
from camera. In this mode, the "result_callback" below must be specified
to receive the detection results asynchronously.
The minimum confidence score for the pose
detection to be considered successful.
The minimum confidence score of pose presence
score in the pose landmark detection.
The minimum confidence score for the pose tracking
to be considered successful.
Methods
__eq__
__eq__
(
other
)
