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Fix threshold in sam_predict #406

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Fix threshold in sam_predict #406

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2bfa33a
Fix threshold in sam_predict
nidefawl Dec 29, 2023
60cd7be
Fix size of empty mask
nidefawl Dec 30, 2023
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25 changes: 5 additions & 20 deletions modules/impact/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -468,25 +468,10 @@ def sam_predict(predictor, points, plabs, bbox, threshold):

cur_masks, scores, _ = predictor.predict(point_coords=point_coords, point_labels=point_labels, box=box)

total_masks = []

selected = False
max_score = 0
for idx in range(len(scores)):
if scores[idx] > max_score:
max_score = scores[idx]
max_mask = cur_masks[idx]

if scores[idx] >= threshold:
selected = True
total_masks.append(cur_masks[idx])
else:
pass

if not selected:
total_masks.append(max_mask)

return total_masks
# take all 3 masks predict returns, or take none
if any([score >= threshold for score in scores]):
return [m for m in cur_masks]
return []


def make_sam_mask(sam_model, segs, image, detection_hint, dilation,
Expand Down Expand Up @@ -606,7 +591,7 @@ def make_sam_mask(sam_model, segs, image, detection_hint, dilation,
mask = dilate_mask(mask.cpu().numpy(), dilation)
mask = torch.from_numpy(mask)
else:
mask = torch.zeros((8, 8), dtype=torch.float32, device="cpu") # empty mask
mask = torch.zeros((image.shape[0], image.shape[1]), dtype=torch.float32, device="cpu") # empty mask

mask = utils.make_3d_mask(mask)
return mask
Expand Down