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Fixed boxes_from_mask avoiding tiny boxes #150

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Fixed boxes_from_mask avoiding tiny boxes #150

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10 changes: 7 additions & 3 deletions lama_cleaner/helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,7 +77,8 @@ def numpy_to_bytes(image_numpy: np.ndarray, ext: str) -> bytes:
data = cv2.imencode(
f".{ext}",
image_numpy,
[int(cv2.IMWRITE_JPEG_QUALITY), 100, int(cv2.IMWRITE_PNG_COMPRESSION), 0],
[int(cv2.IMWRITE_JPEG_QUALITY), 100, int(
cv2.IMWRITE_PNG_COMPRESSION), 0],
)[1]
image_bytes = data.tobytes()
return image_bytes
Expand Down Expand Up @@ -158,7 +159,7 @@ def pad_img_to_modulo(
)


def boxes_from_mask(mask: np.ndarray) -> List[np.ndarray]:
def boxes_from_mask(mask: np.ndarray, min_area: float = 0.02) -> List[np.ndarray]:
"""
Args:
mask: (h, w, 1) 0~255
Expand All @@ -168,7 +169,10 @@ def boxes_from_mask(mask: np.ndarray) -> List[np.ndarray]:
"""
height, width = mask.shape[:2]
_, thresh = cv2.threshold(mask, 127, 255, 0)
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours, _ = cv2.findContours(
thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = [c for c in contours if cv2.contourArea(
c) > height*width*min_area]

boxes = []
for cnt in contours:
Expand Down