optimum/amd/ryzenai/models/yolov3/image_processing_yolov3.py [38:47]:
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    return grid, anchor_grid


def postprocess(inputs, anchors, num_classes=80, stride=[8, 16, 32], shapes=[80, 40, 20]):
    nl = len(anchors)
    no = num_classes + 5

    outputs = []
    for i in range(nl):
        bs, _, ny, nx = inputs[i].shape
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optimum/amd/ryzenai/models/yolov5/image_processing_yolov5.py [38:47]:
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    return grid, anchor_grid


def postprocess(inputs, anchors, num_classes=80, stride=[8, 16, 32], shapes=[80, 40, 20]):
    nl = len(anchors)
    no = num_classes + 5

    outputs = []
    for i in range(nl):
        bs, _, ny, nx = inputs[i].shape
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