141ab53cc37dce728802803747584fc0fb82863b,examples/FasterRCNN/data.py,,get_all_anchors,#,57

Before Change

    // Generates a NAx4 matrix of anchor boxes in (x1, y1, x2, y2) format. Anchors
    // are centered on stride / 2, have (approximate) sqrt areas of the specified
    // sizes, and aspect ratios as given.
    cell_anchors = generate_anchors(
        stride,
        scales=np.array(sizes, dtype=np.float) / stride,
        ratios=np.array(ratios, dtype=np.float))
    // anchors are intbox here.
    // anchors at featuremap [0,0] are centered at fpcoor (8,8) (half of stride)

    field_size = int(np.ceil(max_size / stride))

After Change

            w = np.sqrt(sz * sz / ratio)
            h = ratio * w
            anchors.append([-w, -h, w, h])
    cell_anchors = np.asarray(anchors) * 0.5

    field_size = int(np.ceil(max_size / stride))
    shifts = (np.arange(0, field_size) * stride).astype("float32")
    shift_x, shift_y = np.meshgrid(shifts, shifts)

Instances