pocketpose.models.body.rtmpose
#
Module Contents#
Classes#
- class pocketpose.models.body.rtmpose.RTMPose(model_path: str, model_url: str, input_size: tuple)#
Bases:
pocketpose.models.interfaces.ONNXModel
Base class for RTMPose models.
- process_image(image)#
Default implementation of process_image() for models that don’t need preprocessing.
This method can be overridden by subclasses to implement model-specific preprocessing.
- Args:
- image (np.ndarray): The image to prepare for prediction. The image is a numpy
array with shape (1, height, width, channels) and dtype uint8 (range [0, 255]).
- postprocess_prediction(prediction, original_size) List[List[float]] #
Postprocesses the prediction to get the keypoints.
- Args:
- prediction (Any): The raw prediction returned by the model. This can
be a single tensor or a tuple of tensors, depending on the model.
original_size (tuple): The original size of the input image as (height, width).
- Returns:
The predicted keypoints as a list of (x, y, score) tuples.