Yango
Yango
> 没事了，我搞懂了，不过导出 pdf 是调用浏览器的打印吗？？怎么打印的效果和模板实际情况不符啊，边缘没有打印出来： >  请问如何添加方框呢
Thanks. In the paper, it trained 2 models: DAN and DAN-Menpo. For DAN, it used only 3148 images, so I wonder is it enough for the training of CNN? ...
Ok, thanks. You are really kind.
`def GeneratePerturbations(self, nPerturbations, perturbations):` Is this function used for data augmentation? so how many images will be augmented per image? I see in the code `trainSet.GeneratePerturbations(10, [0.2, 0.2, 20, 0.25])#`...
mobile net是另外加进去的吗？
` plt.savefig("../meanImg.jpg")` ``TypeError: integer argument expected, got float 这个是怎么回事呢，meanImg这个矩阵的元素是int，怎么还会报错？
meanImg的每个元素都是int,我将`plt.savefig("../meanImg.jpg")`改为`plt.savefig("../meanImg.png")`后，就生成了  但是不知道为什么。 此外运行trainDAN.py会报这个错： 
最近想训练这个模型，关于如何运行，是不是先分别run `training\testSetPreparation.py`这两个文件，生成所需要的.npz然后再去run `trainDAN.py`？ 我在运行`testSetPreparation.py`时，抛出一个error: `Traceback (most recent call last): File "/home/huangyangguang/PycharmProjects/Deep-Alignment-Network-tensorflow-master/DAN-TF/TestSetPreparation.py", line 20, in commonSet.PrepareData(commonSetImageDirs, commonSetBoundingBoxFiles, meanShape, 0, 1000, False) File "/home/huangyangguang/PycharmProjects/Deep-Alignment-Network-tensorflow-master/DAN-TF/ImageServer.py", line 60, in PrepareData boundingBoxDict = pickle.load(open(boundingBoxFiles[i], 'rb'))...
嗯嗯，那这两个也需要改吗？ `challengingSetImageDirs = ["../data/images/ibug/"] challengingSetBoundingBoxFiles = ["../data/boxesIBUG.pkl"] w300SetImageDirs = ["../data/images/300W/01_Indoor/", "../data/images/300W/02_Outdoor/"] w300SetBoundingBoxFiles = ["../data/boxes300WIndoor.pkl", "../data/boxes300WOutdoor.pkl"]`