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Fix face detection preprocessing bug #78

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Merged
RitheeshBaradwaj merged 1 commit into from
Jun 9, 2025
Merged

Fix face detection preprocessing bug #78

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11 changes: 6 additions & 5 deletions restapi/memegen/app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,11 +49,13 @@ def detect_face(img):
if len(faces) == 0:
return False
for x, y, w, h in faces:
roi_gray = img[y : y + h, x : x + w]
# Crop the detected face region from the grayscale image and
# prepare it for model inference.
roi = gray[y : y + h, x : x + w]
cropped_img = np.expand_dims(
np.expand_dims(cv2.resize(roi_gray, (224, 224)), -1), 0
np.expand_dims(cv2.resize(roi, (224, 224)), -1), 0
)
return roi_gray
return cropped_img


def get_font_size(text):
Expand Down Expand Up @@ -151,9 +153,8 @@ def upload_file():
img = add_text_to_image("noface", img)
else:
img = cv2.resize(img, (224, 224))
face_img = cv2.resize(face_img, (224, 224))
interpreter = get_interpreter("models/memegen1.tflite")
results = predict_emotion(interpreter, LABELS, [face_img])
results = predict_emotion(interpreter, LABELS, face_img)
dominant_emotion = max(results, key=results.get)
img = add_text_to_image(dominant_emotion, img)

Expand Down