add age, gender, emotion stubs

1 files changed, 0 insertions, 99 deletions

diff --git a/megapixels/app/processors/face_landmarks_3d.py b/megapixels/app/processors/face_landmarks_3d.py
deleted file mode 100644
index 5a0d6097..00000000
--- a/megapixels/app/processors/face_landmarks_3d.py
+++ /dev/null
@@ -1,99 +0,0 @@
-import os
-from os.path import join
-from pathlib import Path
-import math
-
-import cv2 as cv
-import numpy as np
-import imutils
-
-from app.utils import im_utils, logger_utils
-from app.models.bbox import BBox
-from app.settings import app_cfg as cfg
-from app.settings import types
-
-class Landmarks3D:
-
-  def __init__(self):
-    self.log = logger_utils.Logger.getLogger()
-
-  def landmarks(self, im, bbox):
-    pass
-
-    
-class FaceAlignment3D(Landmarks3D):
-
-  # Estimates 3D facial landmarks
-  import face_alignment
-
-  def __init__(self, gpu=0, flip_input=True):
-    super().__init__()
-    device = f'cuda:{gpu}' if gpu > -1 else 'cpu'
-    self.fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, device=device, flip_input=flip_input)
-
-  def landmarks(self, im, bbox, as_type=str):
-    '''Calculates the 3D facial landmarks
-    :param im: (numpy.ndarray) image
-    :param bbox: (BBox) dimensioned to real (int) sizes
-    :param as_type: (str) or (list) type to return data
-    '''
-    preds = self.fa.get_landmarks(im)
-    # convert to comma separated ints
-    # storing data as "[1,2], [3,4]" is larger file size than storing as "1,2,3,4"
-    # storing a list object in Pandas seems to result in 30% larger CSV files
-    # TODO optimize this
-    preds_int = [list(map(int, x)) for x in preds[0]]  # list of ints
-    if as_type is str:
-      return ','.join([','.join(list(map(str,[x,y]))) for x,y in preds_int])
-    else
-      return preds_int
-
-
-  def draw(self, im):
-    '''draws landmarks in 3d scene'''
-
-    # TODO
-    '''
-    import face_alignment
-    import numpy as np
-    from mpl_toolkits.mplot3d import Axes3D
-    import matplotlib.pyplot as plt
-    from skimage import io
-
-    # Run the 3D face alignment on a test image, without CUDA.
-    fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, device='cuda:0', flip_input=True)
-
-    input = io.imread('../test/assets/aflw-test.jpg')
-    preds = fa.get_landmarks(input)[-1]
-
-    #TODO: Make this nice
-    fig = plt.figure(figsize=plt.figaspect(.5))
-    ax = fig.add_subplot(1, 2, 1)
-    ax.imshow(input)
-    ax.plot(preds[0:17,0],preds[0:17,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[17:22,0],preds[17:22,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[22:27,0],preds[22:27,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[27:31,0],preds[27:31,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[31:36,0],preds[31:36,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[36:42,0],preds[36:42,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[42:48,0],preds[42:48,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[48:60,0],preds[48:60,1],marker='o',markersize=6,linestyle='-',color='w',lw=2)
-    ax.plot(preds[60:68,0],preds[60:68,1],marker='o',markersize=6,linestyle='-',color='w',lw=2) 
-    ax.axis('off')
-
-    ax = fig.add_subplot(1, 2, 2, projection='3d')
-    surf = ax.scatter(preds[:,0]*1.2,preds[:,1],preds[:,2],c="cyan", alpha=1.0, edgecolor='b')
-    ax.plot3D(preds[:17,0]*1.2,preds[:17,1], preds[:17,2], color='blue' )
-    ax.plot3D(preds[17:22,0]*1.2,preds[17:22,1],preds[17:22,2], color='blue')
-    ax.plot3D(preds[22:27,0]*1.2,preds[22:27,1],preds[22:27,2], color='blue')
-    ax.plot3D(preds[27:31,0]*1.2,preds[27:31,1],preds[27:31,2], color='blue')
-    ax.plot3D(preds[31:36,0]*1.2,preds[31:36,1],preds[31:36,2], color='blue')
-    ax.plot3D(preds[36:42,0]*1.2,preds[36:42,1],preds[36:42,2], color='blue')
-    ax.plot3D(preds[42:48,0]*1.2,preds[42:48,1],preds[42:48,2], color='blue')
-    ax.plot3D(preds[48:,0]*1.2,preds[48:,1],preds[48:,2], color='blue' )
-
-    ax.view_init(elev=90., azim=90.)
-    ax.set_xlim(ax.get_xlim()[::-1])
-    plt.show()
-    '''
-    return im
\ No newline at end of file