这次为SiamMask调用VOT写一个调用的程序，在SiamMask工程文件夹下新建test文件夹，程序写在这里：

为了方便，我在parser的各元素中添加了默认值，另外，大家如果想换例子的话就修改文件头部的name变量：

import glob
from tools.test import *
import sys
import os
name = "bag"
sys.path.append("../experiments/siammask/")

parser = argparse.ArgumentParser(description='PyTorch Tracking Demo')


parser.add_argument('--resume', default='../experiments/siammask/SiamMask_VOT.pth',help='path to latest checkpoint (default: none)')
parser.add_argument('--config', dest='config', default='../experiments/siammask/config_vot.json',
                    help='hyper-parameter of SiamMask in json format')
parser.add_argument('--base_path', default='../data/VOT2016/'+name+'/', help='datasets')
args = parser.parse_args()
def num_read_directory(directory_name):
    filename1=os.listdir(directory_name)
    return len(filename1)
def read_directory(directory_name,num):
    filename1=os.listdir(directory_name)
    img = cv2.imread(directory_name + "/" + filename1[num],cv2.IMREAD_COLOR)
    return img

if __name__ == '__main__':
    # Setup device
    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
    torch.backends.cudnn.benchmark = True

    # Setup Model
    cfg = load_config(args)
    from custom import Custom
    siammask = Custom(anchors=cfg['anchors'])
    if args.resume:
        assert isfile(args.resume), '{} is not a valid file'.format(args.resume)
        siammask = load_pretrain(siammask, args.resume)

    siammask.eval().to(device)

    # Parse Image file
    img_files = sorted(glob.glob(join(args.base_path, '*.jp*')))
    ims = [cv2.imread(imf) for imf in img_files]
    num_image=num_read_directory(args.base_path)
    f = open(args.base_path+'groundtruth.txt')
    frames = np.zeros([num_image, 8])
    j = 0
    for i in f:
        frames[j, :] = i.split(',')
        j += 1
    f.close()
    # Select ROI
    cv2.namedWindow("SiamMask", cv2.WND_PROP_FULLSCREEN)
    # cv2.setWindowProperty("SiamMask", cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
    try:
        init_rect = cv2.selectROI('SiamMask', ims[0], False, False)
        x, y, w, h = init_rect
        print([x, y, w, h])
    except:
        exit()
    toc = 0
    fourcc = cv2.VideoWriter_fourcc(*'XVID')
    out = cv2.VideoWriter(args.base_path+ "/SiamMask_out.avi", fourcc, 24,
                          (ims[0].shape[1], ims[0].shape[0]))
    for f, im in enumerate(ims):
        tic = cv2.getTickCount()
        if f == 0:  # init
            target_pos = np.array([x + w / 2, y + h / 2])
            target_sz = np.array([w, h])
            state = siamese_init(im, target_pos, target_sz, siammask, cfg['hp'])  # init tracker
        elif f > 0:  # tracking
            state = siamese_track(state, im, mask_enable=True, refine_enable=True)  # track
            location = state['ploygon'].flatten()
            mask = state['mask'] > state['p'].seg_thr

            im[:, :, 2] = (mask > 0) * 255 + (mask == 0) * im[:, :, 2]
            cv2.polylines(im, [np.int0(location).reshape((-1, 1, 2))], True, (0, 255, 0), 3)
            cv2.putText(im, "SiamMask", (5, 20), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 2)
            cv2.imshow('SiamMask', im)
            out.write(im)

            key = cv2.waitKey(1)
            if key > 0:
                break

        toc += cv2.getTickCount() - tic
    toc /= cv2.getTickFrequency()
    fps = f / toc
    print('SiamMask Time: {:02.1f}s Speed: {:3.1f}fps (with visulization!)'.format(toc, fps))

这里边进行模板初始化时间还是采用人工选择区域，而在groundtruth.txt中读出来的是一个斜体的矩形框，这一点需要修改原本的siammask初始化程序，暂时还没修改，官方也没说怎么修改。

下边放一下效果吧：