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Added conditional to check the largest face and stored in the largest_box array #8

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Added conditional to check the largest face and stored in the largest_box array #8

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65 changes: 26 additions & 39 deletions class_photo/face.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,52 +33,39 @@ def detect_face(face_file, max_results=1):

def crop_faces(image, faces, output_filename):
im = Image.open(image)
im_width, im_height = im.size

im_width = im.size[0]
im_height = im.size[1]

left = 0
right = 0
top = 0
bottom = 0
left = right = top = bottom = 0
max_area = 0

for face in faces:
box = [(vertex.x, vertex.y) for vertex in face.bounding_poly.vertices]

centre = int((box[0][0] + box[1][0])/2)
middle = int((box[0][1] + box[2][1])/2)
width = abs(box[1][0] - box[0][0]) + (0.1 * im_width)
height = abs(box[2][1] - box [0][1]) + (0.1 * im_height)
width = abs(box[1][0] - box[0][0])
height = abs(box[2][1] - box[0][1])
area = width * height

if (max(width, height) < im_width) & (max(width, height) < im_height):
distance = int(max(width, height)/2)
elif (min(width, height) < im_width) & (min(width, height) < im_height):
distance = int(min(width, height)/2)
else:
distance = int(min(im_width, im_height)/2)

left = centre - distance
right = centre + distance
top = middle - distance
bottom = middle + distance
if area > max_area:
max_area = area
largest_box = box

if left < 0:
right -= left
left = 0

if right > im_width:
left -= (right - im_width)
right = im_width

if top < 0:
bottom -= top
top = 0
centre = int((largest_box[0][0] + largest_box[1][0]) / 2)
middle = int((largest_box[0][1] + largest_box[2][1]) / 2)
width = abs(largest_box[1][0] - largest_box[0][0]) + (0.1 * im_width)
height = abs(largest_box[2][1] - largest_box[0][1]) + (0.1 * im_height)

if max(width, height) < min(im_width, im_height):
distance = int(max(width, height) / 2)
else:
distance = int(min(im_width, im_height) / 2)

if bottom > im_height:
top -= (bottom - im_height)
bottom = im_height
left = max(0, centre - distance)
right = min(im_width, centre + distance)
top = max(0, middle - distance)
bottom = min(im_height, middle + distance)

box2 = (left,top,right,bottom)
new_im = im.crop(box2)
new_im = new_im.resize((200,200), Image.ANTIALIAS)

new_im = im.crop((left, top, right, bottom))
new_im = new_im.resize((200, 200), Image.ANTIALIAS)
new_im.save(output_filename)