using the pre-trained model from face_alignment to recognize the face object from the input image based on How far are we from solving the 2D & 3D Face Alignment problem. using Adrian's model, not training the model by myself

1. Using readily-available model(face_aligmnent) to get fixed 68 points to represent face in the given image
2. From those 68 points to get the upper-left point and lower-right point to a bounding box
3. Scale up the emoji image according to the ratio of the emoji image's width to the bouding box's width
4. Cover the face with scaled emoji image in the corresponding position

conda install -c 1adrianb face_alignment --name=conda_envs
conda install PIL --name=conda_envs

python detector.py

LS3D-W is a large-scale 3D face alignment dataset constructed by annotating the images from AFLW[2], 300VW[3], 300W[4] and FDDB[5] in a consistent manner with 68 points using the automatic method described in [1]. To gain access to the dataset please enter your email address in the following form. You will shortly receive an email at the specified address containing the download link

References: 
[1] A. Bulat, G. Tzimiropoulos. How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks), arxiv, 2017 
[2] M. Kostinger, P. Wohlhart, P.M. Roth, and H. Bischof. Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization, In ICCVW, 2011 
[3] J. Shen, S. Zafeiriou, G. G. Chrysos, J. Kossaifi, G. Tzimiropoulos, and M. Pantic. The first facial landmark tracking in-the-wild challenge: Benchmark and results. In ICCVW, 2015 
[4] C. Sagonas, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 300 faces in-the-wild challenge: The first facial landmark localization challenge. In ICCVW, 2013 
[5] V. Jain, E. Learned-Miller FDDB: A Benchmark for Face Detection in Unconstrained Settings. UMass Amherst Technical Report, 2010

When try to invoke function get_landmarks_from_image to predict:

AttributeError: module 'torch.nn.functional' has no attribute 'interpolate'

refer to [commit]