关于跨库实验 - Githubissues

lz28lz28 commented 4 years ago

您好，感谢您开源工作代码，我想知道关于replay和casia的跨库实验中，每个测试数据集的结果判别的threshold如何获得（对于replay数据集，通过他的dev部分获得嘛？那么casia呢，自己将测试集分成dev和test嘛），或者说是通过其他方法进行每个测试集video的结果判别？。十分感谢，期待您的回复！

ZitongYu commented 4 years ago

跨库没有很标准统一的做法，建议取最佳阈值吧

silvercherry commented 4 years ago

您好，感谢您开源工作代码，我想知道关于replay和casia的跨库实验中，每个测试数据集的结果判别的threshold如何获得（对于replay数据集，通过他的dev部分获得嘛？那么casia呢，自己将测试集分成dev和test嘛），或者说是通过其他方法进行每个测试集video的结果判别？。十分感谢，期待您的回复！

请问一下您跨库实验的效果怎么样呀我这边复现了了一下，但是效果不是很好

lz28lz28 commented 4 years ago

您好，感谢您开源工作代码，我想知道关于replay和casia的跨库实验中，每个测试数据集的结果判别的threshold如何获得（对于replay数据集，通过他的dev部分获得嘛？那么casia呢，自己将测试集分成dev和test嘛），或者说是通过其他方法进行每个测试集video的结果判别？。十分感谢，期待您的回复！

请问一下您跨库实验的效果怎么样呀我这边复现了了一下，但是效果不是很好

这个也是一楼的我

punitha-valli commented 4 years ago

@lz28lz28 @silvercherry @ZitongYu FileNotFoundError: [WinError 3] The system cannot find the path specified: 'D:/face_anti_spoofing/dataset/OULUNPU/Data/demo/Train/Depth_map_1/1_1_01_3'

Even I have images in this folder,...

How about the def single_iamge_x():

I have confusion in it,

Because i have already splitted up the oulu dataset videos 1_1_01_1 into 1_1_01_1_1, 1_1_01_1_2,1_1_01_1_3 like this....,

def get_single_image_x(self, image_path, map_path, videoname):

for name in os.listdir(map_path):
    print(name)

print(os.path.isfile(os.path.join(map_path, videoname)))

frames_total = len([name for name in os.listdir(map_path) if os.path.isfile(os.path.join(map_path, name))])
#print(frames_total)

# random choose 1 frame
for temp in range(500):
    image_id = np.random.randint(1, frames_total-1)

    s = "_%03d_scene" % image_id
    image_name = videoname + s + '.jpg'
    bbox_name = videoname + s + '.dat'
    bbox_path = os.path.join(image_path, bbox_name)
    s = "_%03d_depth1D" % image_id
    map_name = videoname + s + '.jpg'
    map_path2 = os.path.join(map_path, map_name)

    # some .dat & map files have been missing  
    if os.path.exists(bbox_path) & os.path.exists(map_path2):
        map_x_temp2 = cv2.imread(map_path2, 0)
        if map_x_temp2 is not None:
            break

about this one,

here the error occurs, FileNotFoundError: [WinError 3] The system cannot find the path specified: 'D:/face_anti_spoofing/dataset/OULUNPU/Data/demo/Train/Depth_map_1/1_1_01_3',..

any to please, explain to me about it,.

Thanks in advance

liuyuchen6666 commented 3 years ago

@lz28lz28 @silvercherry 请问您复现的时候原始的视频数据是间隔几秒划分成帧的呢？另外depth_map和.dat是使用PRNet和MTCNN产生的吗，有相应的代码项目可以参考吗这对我的研究很重要感谢您

maywander commented 2 years ago

@lz28lz28 @silvercherry @ZitongYu FileNotFoundError: [WinError 3] The system cannot find the path specified: 'D:/face_anti_spoofing/dataset/OULUNPU/Data/demo/Train/Depth_map_1/1_1_01_3'

Even I have images in this folder,...

How about the def single_iamge_x():

I have confusion in it,

Because i have already splitted up the oulu dataset videos 1_1_01_1 into 1_1_01_1_1, 1_1_01_1_2,1_1_01_1_3 like this....,

def get_single_image_x(self, image_path, map_path, videoname):
for name in os.listdir(map_path):
    print(name)

print(os.path.isfile(os.path.join(map_path, videoname)))

frames_total = len([name for name in os.listdir(map_path) if os.path.isfile(os.path.join(map_path, name))])
#print(frames_total)

# random choose 1 frame
for temp in range(500):
    image_id = np.random.randint(1, frames_total-1)

    s = "_%03d_scene" % image_id
    image_name = videoname + s + '.jpg'
    bbox_name = videoname + s + '.dat'
    bbox_path = os.path.join(image_path, bbox_name)
    s = "_%03d_depth1D" % image_id
    map_name = videoname + s + '.jpg'
    map_path2 = os.path.join(map_path, map_name)

    # some .dat & map files have been missing  
    if os.path.exists(bbox_path) & os.path.exists(map_path2):
        map_x_temp2 = cv2.imread(map_path2, 0)
        if map_x_temp2 is not None:
            break

about this one, 
here the error occurs, FileNotFoundError: [WinError 3] The system cannot find the path specified: 'D:/face_anti_spoofing/dataset/OULUNPU/Data/demo/Train/Depth_map_1/1_1_01_3',..

any to please, explain to me about it,.

Thanks in advance

Can you share more about how to split videos 1_1_01_1 into 1_1_01_1_1, 1_1_01_1_2,1_1_01_1_3 and how to obtain .dat files?

ZitongYu / CDCN

关于跨库实验 #4