class TensorflowLite::Image::PoseEstimation::Output
- TensorflowLite::Image::PoseEstimation::Output
- Reference
- Object
Included Modules
- TensorflowLite::Image::Detection
- TensorflowLite::Image::Detection::Lines
- TensorflowLite::Image::Detection::Points
Defined in:
tflite_image/pose_estimation/output.crConstant Summary
-
LINES =
[[BodyJoint::LeftEar, BodyJoint::LeftEye, BodyJoint::Nose, BodyJoint::RightEye, BodyJoint::RightEar], [BodyJoint::LeftWrist, BodyJoint::LeftElbow, BodyJoint::LeftShoulder, BodyJoint::RightShoulder, BodyJoint::RightElbow, BodyJoint::RightWrist], [BodyJoint::LeftShoulder, BodyJoint::LeftHip, BodyJoint::LeftKnee, BodyJoint::LeftAnkle], [BodyJoint::RightShoulder, BodyJoint::RightHip, BodyJoint::RightKnee, BodyJoint::RightAnkle], [BodyJoint::LeftHip, BodyJoint::RightHip]]
Constructors
Instance Method Summary
- #lines : Indexable(Detection::Line)
-
#markup(image : Canvas, minimum_score : Float32 = 0.3_f32) : Canvas
add the detection details to an image
- #points : Hash(String, Detection::Point)
-
#type : Symbol
i.e.
Instance methods inherited from module TensorflowLite::Image::Detection::Points
adjust(canvas_width : Int, canvas_height : Int, offset_left : Int, offset_top : Int)adjust(image : Canvas, offset_left : Int, offset_top : Int) adjust, points : Hash(String, Detection::Point) points
Instance methods inherited from module TensorflowLite::Image::Detection::Lines
lines : Indexable(Detection::Line)
lines
Instance methods inherited from module TensorflowLite::Image::Detection
associated : Array(Detection)
associated,
type : Symbol
type
Constructor methods inherited from module TensorflowLite::Image::Detection
new(pull : JSON::PullParser)
new
Constructor Detail
Instance Method Detail
add the detection details to an image
if marking up the original image, you'll need to take into account how it was scaled and provide offsets
def type : Symbol
#
Description copied from module TensorflowLite::Image::Detection
i.e. object, pose, face, age, class