HYTOS

#convert from Yolo_mark to opencv format

def yoloFormattocv(x1, y1, x2, y2, H, W):

    bbox_width = x2 * W

    bbox_height = y2 * H

    center_x = x1 * W

    center_y = y1 * H

    voc = []

    voc.append(center_x - (bbox_width / 2))

    voc.append(center_y - (bbox_height / 2))

    voc.append(center_x + (bbox_width / 2))

    voc.append(center_y + (bbox_height / 2))

    return [int(v) for v in voc]

# convert from opencv format to yolo format

# H,W is the image height and width

def cvFormattoYolo(corner, H, W):

    bbox_W = corner[3] - corner[1]

    bbox_H = corner[4] - corner[2]

    center_bbox_x = (corner[1] + corner[3]) / 2

    center_bbox_y = (corner[2] + corner[4]) / 2

    return corner[0], round(center_bbox_x / W, 6), round(center_bbox_y / H, 6), round(bbox_W / W, 6), round(bbox_H / H,

                                                                                                            6)