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fix bug of first order multi person #329

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merged 1 commit into from
May 31, 2021
Merged

fix bug of first order multi person #329

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10 changes: 5 additions & 5 deletions ppgan/apps/first_order_predictor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@

from .base_predictor import BasePredictor

IMAGE_SIZE = 256

class FirstOrderPredictor(BasePredictor):
def __init__(self,
Expand Down Expand Up @@ -105,7 +106,6 @@ def __init__(self,

def read_img(self, path):
img = imageio.imread(path)
img = img.astype(np.float32)
if img.ndim == 2:
img = np.expand_dims(img, axis=2)
# som images have 4 channels
Expand Down Expand Up @@ -161,14 +161,14 @@ def get_prediction(face_image):
reader.close()

driving_video = [
cv2.resize(frame, (256, 256)) / 255.0 for frame in driving_video
cv2.resize(frame, (IMAGE_SIZE, IMAGE_SIZE)) / 255.0 for frame in driving_video
]
results = []

# for single person
if not self.multi_person:
h, w, _ = source_image.shape
source_image = cv2.resize(source_image, (256, 256)) / 255.0
source_image = cv2.resize(source_image, (IMAGE_SIZE, IMAGE_SIZE)) / 255.0
predictions = get_prediction(source_image)
imageio.mimsave(os.path.join(self.output, self.filename), [
cv2.resize((frame * 255.0).astype('uint8'), (h, w))
Expand All @@ -181,7 +181,7 @@ def get_prediction(face_image):
print(str(len(bboxes)) + " persons have been detected")
if len(bboxes) <= 1:
h, w, _ = source_image.shape
source_image = cv2.resize(source_image, (256, 256)) / 255.0
source_image = cv2.resize(source_image, (IMAGE_SIZE, IMAGE_SIZE)) / 255.0
predictions = get_prediction(source_image)
imageio.mimsave(os.path.join(self.output, self.filename), [
cv2.resize((frame * 255.0).astype('uint8'), (h, w))
Expand All @@ -193,7 +193,7 @@ def get_prediction(face_image):
# for multi person
for rec in bboxes:
face_image = source_image.copy()[rec[1]:rec[3], rec[0]:rec[2]]
face_image = cv2.resize(face_image, (256, 256)) / 255.0
face_image = cv2.resize(face_image, (IMAGE_SIZE, IMAGE_SIZE)) / 255.0
predictions = get_prediction(face_image)
results.append({'rec': rec, 'predict': predictions})

Expand Down