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fix path to fairface #16

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fix path to fairface #16

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26 changes: 13 additions & 13 deletions predict.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,15 +13,15 @@
import argparse

def rect_to_bb(rect):
# take a bounding predicted by dlib and convert it
# to the format (x, y, w, h) as we would normally do
# with OpenCV
x = rect.left()
y = rect.top()
w = rect.right() - x
h = rect.bottom() - y
# return a tuple of (x, y, w, h)
return (x, y, w, h)
# take a bounding predicted by dlib and convert it
# to the format (x, y, w, h) as we would normally do
# with OpenCV
x = rect.left()
y = rect.top()
w = rect.right() - x
h = rect.bottom() - y
# return a tuple of (x, y, w, h)
return (x, y, w, h)

def detect_face(image_paths, SAVE_DETECTED_AT, default_max_size=800,size = 300, padding = 0.25):
cnn_face_detector = dlib.cnn_face_detection_model_v1('dlib_models/mmod_human_face_detector.dat')
Expand Down Expand Up @@ -59,17 +59,17 @@ def detect_face(image_paths, SAVE_DETECTED_AT, default_max_size=800,size = 300,

def predidct_age_gender_race(save_prediction_at, imgs_path = 'cropped_faces/'):
img_names = [os.path.join(imgs_path, x) for x in os.listdir(imgs_path)]
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
device = torch.device('cpu')

model_fair_7 = torchvision.models.resnet34(pretrained=True)
model_fair_7.fc = nn.Linear(model_fair_7.fc.in_features, 18)
model_fair_7.load_state_dict(torch.load('fair_face_models/fairface_alldata_20191111.pt'))
model_fair_7.load_state_dict(torch.load('fair_face_models/res34_fair_align_multi_7_20190809.pt', map_location=torch.device('cpu')))
model_fair_7 = model_fair_7.to(device)
model_fair_7.eval()

model_fair_4 = torchvision.models.resnet34(pretrained=True)
model_fair_4.fc = nn.Linear(model_fair_4.fc.in_features, 18)
model_fair_4.load_state_dict(torch.load('fair_face_models/fairface_alldata_4race_20191111.pt'))
model_fair_4.load_state_dict(torch.load('fair_face_models/fairface_alldata_4race_20191111.pt', map_location=torch.device('cpu')))
model_fair_4 = model_fair_4.to(device)
model_fair_4.eval()

Expand Down Expand Up @@ -206,7 +206,7 @@ def ensure_dir(directory):
parser = argparse.ArgumentParser()
parser.add_argument('--csv', dest='input_csv', action='store',
help='csv file of image path where col name for image path is "img_path')
dlib.DLIB_USE_CUDA = True
dlib.DLIB_USE_CUDA = False
print("using CUDA?: %s" % dlib.DLIB_USE_CUDA)
args = parser.parse_args()
SAVE_DETECTED_AT = "detected_faces"
Expand Down