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ultralytics 8.0.90 actions and docs improvements (#2326)

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12
ultralytics/vit/sam/modules/prompt_predictor.py
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@ -81,12 +81,12 @@ class PromptPredictor:
Predict masks for the given input prompts, using the currently set image.
Arguments:
point_coords (np.ndarray or None): A Nx2 array of point prompts to the
point_coords (np.ndarray, None): A Nx2 array of point prompts to the
model. Each point is in (X,Y) in pixels.
point_labels (np.ndarray or None): A length N array of labels for the
point_labels (np.ndarray, None): A length N array of labels for the
point prompts. 1 indicates a foreground point and 0 indicates a
background point.
box (np.ndarray or None): A length 4 array given a box prompt to the
box (np.ndarray, None): A length 4 array given a box prompt to the
model, in XYXY format.
mask_input (np.ndarray): A low resolution mask input to the model, typically
coming from a previous prediction iteration. Has form 1xHxW, where
@ -158,12 +158,12 @@ class PromptPredictor:
transformed to the input frame using ResizeLongestSide.
Arguments:
point_coords (torch.Tensor or None): A BxNx2 array of point prompts to the
point_coords (torch.Tensor, None): A BxNx2 array of point prompts to the
model. Each point is in (X,Y) in pixels.
point_labels (torch.Tensor or None): A BxN array of labels for the
point_labels (torch.Tensor, None): A BxN array of labels for the
point prompts. 1 indicates a foreground point and 0 indicates a
background point.
boxes (np.ndarray or None): A Bx4 array given a box prompt to the
boxes (np.ndarray, None): A Bx4 array given a box prompt to the
model, in XYXY format.
mask_input (np.ndarray): A low resolution mask input to the model, typically
coming from a previous prediction iteration. Has form Bx1xHxW, where