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⚡ Optimize ImageSegmenter memory allocation #224

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Merged
fangfufu merged 1 commit into from
Feb 7, 2026
Merged

⚡ Optimize ImageSegmenter memory allocation #224

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14 changes: 8 additions & 6 deletions lfbw/lfbw.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,24 +36,26 @@ def __init__(self, width, height):
self.target_w = 256
self.target_h = int(256 * self.orig_h / self.orig_w)
self.segmenter = vision.ImageSegmenter.create_from_options(options)
self.mp_frame_buffer = np.zeros((self.target_h, self.target_w, 3), dtype=np.uint8)
self.mask_upscaled_buffer = np.zeros((self.orig_h, self.orig_w), dtype=np.float32)

def segment(self, frame):

mp_frame = cv2.resize(frame, (self.target_w, self.target_h), interpolation=cv2.INTER_AREA)
mp_frame = cv2.cvtColor(mp_frame, cv2.COLOR_BGR2RGB)
mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=mp_frame)
cv2.resize(frame, (self.target_w, self.target_h), dst=self.mp_frame_buffer, interpolation=cv2.INTER_AREA)
cv2.cvtColor(self.mp_frame_buffer, cv2.COLOR_BGR2RGB, dst=self.mp_frame_buffer)
mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=self.mp_frame_buffer)

segmentation_result = self.segmenter.segment(mp_image)
category_mask = segmentation_result.category_mask.numpy_view()
mask = (category_mask == 0).astype(np.float32)

# Upscale mask back to original resolution
mask_upscaled = cv2.resize(mask, (self.orig_w, self.orig_h), interpolation=cv2.INTER_LINEAR)
cv2.resize(mask, (self.orig_w, self.orig_h), dst=self.mask_upscaled_buffer, interpolation=cv2.INTER_LINEAR)

# Smooth edges to reduce cutting/inconsistency
mask_upscaled = cv2.GaussianBlur(mask_upscaled, (7, 7), 0)
cv2.GaussianBlur(self.mask_upscaled_buffer, (7, 7), 0, dst=self.mask_upscaled_buffer)

return mask_upscaled
return self.mask_upscaled_buffer

def close(self):
if self.segmenter:
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