mmdet/utils/common.py

import torch
def compute_locations(h, w, stride, device):
    shifts_x = torch.arange(
        0, w * stride, step=stride,
        dtype=torch.float32, device=device
    )
    shifts_y = torch.arange(
        0, h * stride, step=stride,
        dtype=torch.float32, device=device
    )
    shift_y, shift_x = torch.meshgrid(shifts_y, shifts_x)
    shift_x = shift_x.reshape(-1)
    shift_y = shift_y.reshape(-1)
    locations = torch.stack((shift_x, shift_y), dim=1) + stride // 2
    return locations