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Fix crash when negative prompt detects no objects #4

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Fix crash when negative prompt detects no objects #4

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19 changes: 10 additions & 9 deletions grounded_sam.py
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Original file line number Diff line number Diff line change
Expand Up @@ -91,24 +91,25 @@ def run_grounding_sam(local_image_path, positive_prompt, negative_prompt, ground
# Converting positive mask into PIL image
mask = (merged_mask.cpu().numpy() * 255).astype(np.uint8) # Update mask definition

neg_annotated_frame_with_mask = final_annotated_frame_with_mask
neg_annotated_frame_with_mask = image_source

# If negative_prompt is defined and not empty, process negative mask
if negative_prompt:
neg_annotated_frame, neg_detected_boxes = detect(image, image_source, negative_prompt, groundingdino_model)

neg_segmented_frame_masks = segment(image_source, sam_predictor, boxes=neg_detected_boxes)
if len(neg_detected_boxes) > 0:
neg_segmented_frame_masks = segment(image_source, sam_predictor, boxes=neg_detected_boxes)

# Merging all negative masks
merged_neg_mask = np.logical_or.reduce(neg_segmented_frame_masks[:, 0])
# Merging all negative masks
merged_neg_mask = np.logical_or.reduce(neg_segmented_frame_masks[:, 0])

# Annotation using merged negative mask
neg_annotated_frame_with_mask = draw_mask(merged_neg_mask, neg_annotated_frame)
# Annotation using merged negative mask
neg_annotated_frame_with_mask = draw_mask(merged_neg_mask, neg_annotated_frame)

neg_mask = (merged_neg_mask.cpu().numpy() * 255).astype(np.uint8) # Update mask definition
neg_mask = (merged_neg_mask.cpu().numpy() * 255).astype(np.uint8) # Update mask definition

# Use logical operations to subtract the negative mask from the original mask
mask = mask & ~neg_mask
# Use logical operations to subtract the negative mask from the original mask
mask = mask & ~neg_mask

# erode or dilate based on adjustment_factor
final_mask = adjust_mask(mask, adjustment_factor)
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