class TensorflowLite::Image::PoseEstimation
- TensorflowLite::Image::PoseEstimation
- Reference
- Object
Included Modules
Defined in:
tflite_image/pose_estimation.crInstance Method Summary
-
#process(image : Canvas | FFmpeg::Frame) : Array(PoseEstimation::Output)
attempts to classify the object, assumes the canvas has already been prepared
Instance methods inherited from module TensorflowLite::Image::Common
aspect_ratio : Float64
aspect_ratio,
client : Client
client,
detection_adjustments(image, scale_mode : Scale = @scaling_mode)detection_adjustments(image_width : Int32, image_height : Int32, scale_mode : Scale = @scaling_mode) detection_adjustments, input_format : Format input_format, labels : Array(String) labels, process(image : Canvas | FFmpeg::Frame) : Array process, resolution : Tuple(Int32, Int32) resolution, run(canvas : Canvas, scale_mode : Scale = @scaling_mode, resize_method : StumpyResize::InterpolationMethod = :bilinear) run, scaling_mode : Scale scaling_mode, scaling_mode=(scaling_mode : Scale) scaling_mode=
Constructor methods inherited from module TensorflowLite::Image::Common
new(client : Client, labels : Array(String) | Nil = nil, scaling_mode : Scale = DEFAULT_SCALE_MODE, input_format : Format | Nil = nil, output_format : Format | Nil = nil)
new
Instance Method Detail
attempts to classify the object, assumes the canvas has already been prepared