yolo_x.TensorToBBoxConverter

Inheritance diagram of TensorToBBoxConverter

TensorToBBoxConverter inheritance diagram

class savant.converter.yolo_x.TensorToBBoxConverter(decode=False, confidence_threshold=0.25, top_k=3000, nms_iou_threshold=0.0)

YOLOX output to bbox converter.

__call__(*output_layers, model, roi)

Converts YOLOX detector output layer tensor to bbox tensor.

Parameters:

  • output_layers (ndarray) – Output layer tensor

  • model (ObjectModel) – Model definition, required parameters: input tensor shape, maintain_aspect_ratio

  • roi (Tuple[float, float, float, float]) – [top, left, width, height] of the rectangle on which the model infers

Returns:

BBox tensor (class_id, confidence, xc, yc, width, height, [angle]) offset by roi upper left and scaled by roi width and height

Return type:

ndarray

tensor_format: TensorFormat = 0

Set to CuPy to get the output_layers tensors in the converter call on the GPU as a cupy.ndarray. Or set to NumPy to get tensors on the host as a numpy.ndarray.