refactor: rename box_erode_or_dilate to dino_erode_or_dilate, add option dino_debug
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@ -14,7 +14,8 @@ class SAMOptions:
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dino_prompt: str = '',
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dino_box_threshold=0.3,
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dino_text_threshold=0.25,
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box_erode_or_dilate=0,
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dino_erode_or_dilate=0,
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dino_debug=False,
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# SAM
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max_num_boxes=2,
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@ -23,7 +24,7 @@ class SAMOptions:
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self.dino_prompt = dino_prompt
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self.dino_box_threshold = dino_box_threshold
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self.dino_text_threshold = dino_text_threshold
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self.box_erode_or_dilate = box_erode_or_dilate
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self.dino_erode_or_dilate = dino_erode_or_dilate
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self.max_num_boxes = max_num_boxes
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self.model_type = model_type
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@ -73,11 +74,11 @@ def generate_mask_from_image(image: np.ndarray, mask_model: str = 'sam', extras=
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#
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# for idx, box in enumerate(detection_boxes):
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# box_list = box.tolist()
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# if box_erode_or_dilate != 0:
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# box_list[0] -= box_erode_or_dilate
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# box_list[1] -= box_erode_or_dilate
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# box_list[2] += box_erode_or_dilate
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# box_list[3] += box_erode_or_dilate
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# if dino_erode_or_dilate != 0:
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# box_list[0] -= dino_erode_or_dilate
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# box_list[1] -= dino_erode_or_dilate
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# box_list[2] += dino_erode_or_dilate
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# box_list[3] += dino_erode_or_dilate
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# extras['sam_prompt'] += [{"type": "rectangle", "data": box_list}]
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#
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# if debug_dino:
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@ -88,7 +89,8 @@ def generate_mask_from_image(image: np.ndarray, mask_model: str = 'sam', extras=
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# draw.rectangle(box['data'], fill="white")
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# return np.array(debug_dino_image)
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# TODO add support for box_erode_or_dilate again
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# TODO add support for dino_erode_or_dilate again
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# TODO add dino_debug again
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H, W = image.shape[0], image.shape[1]
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boxes = boxes * torch.Tensor([W, H, W, H])
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3
webui.py
3
webui.py
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@ -243,7 +243,8 @@ with shared.gradio_root:
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dino_prompt=dino_prompt_text,
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dino_box_threshold=box_threshold,
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dino_text_threshold=text_threshold,
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box_erode_or_dilate=dino_erode_or_dilate,
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dino_erode_or_dilate=dino_erode_or_dilate,
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dino_debug=debug_dino,
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max_num_boxes=2, #TODO replace with actual value
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model_type=sam_model
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)
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