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Configuration error
Configuration error
| import torch | |
| from ..fbrs.inference import clicker | |
| from ..fbrs.inference.predictors import get_predictor | |
| class InteractiveController: | |
| def __init__(self, net, device, predictor_params, prob_thresh=0.5): | |
| self.net = net.to(device) | |
| self.prob_thresh = prob_thresh | |
| self.clicker = clicker.Clicker() | |
| self.states = [] | |
| self.probs_history = [] | |
| self.object_count = 0 | |
| self._result_mask = None | |
| self.image = None | |
| self.predictor = None | |
| self.device = device | |
| self.predictor_params = predictor_params | |
| self.reset_predictor() | |
| def set_image(self, image): | |
| self.image = image | |
| self._result_mask = torch.zeros(image.shape[-2:], dtype=torch.uint8) | |
| self.object_count = 0 | |
| self.reset_last_object() | |
| def add_click(self, x, y, is_positive): | |
| self.states.append({ | |
| 'clicker': self.clicker.get_state(), | |
| 'predictor': self.predictor.get_states() | |
| }) | |
| click = clicker.Click(is_positive=is_positive, coords=(y, x)) | |
| self.clicker.add_click(click) | |
| pred = self.predictor.get_prediction(self.clicker) | |
| torch.cuda.empty_cache() | |
| if self.probs_history: | |
| self.probs_history.append((self.probs_history[-1][0], pred)) | |
| else: | |
| self.probs_history.append((torch.zeros_like(pred), pred)) | |
| def undo_click(self): | |
| if not self.states: | |
| return | |
| prev_state = self.states.pop() | |
| self.clicker.set_state(prev_state['clicker']) | |
| self.predictor.set_states(prev_state['predictor']) | |
| self.probs_history.pop() | |
| def partially_finish_object(self): | |
| object_prob = self.current_object_prob | |
| if object_prob is None: | |
| return | |
| self.probs_history.append((object_prob, torch.zeros_like(object_prob))) | |
| self.states.append(self.states[-1]) | |
| self.clicker.reset_clicks() | |
| self.reset_predictor() | |
| def finish_object(self): | |
| object_prob = self.current_object_prob | |
| if object_prob is None: | |
| return | |
| self.object_count += 1 | |
| object_mask = object_prob > self.prob_thresh | |
| self._result_mask[object_mask] = self.object_count | |
| self.reset_last_object() | |
| def reset_last_object(self): | |
| self.states = [] | |
| self.probs_history = [] | |
| self.clicker.reset_clicks() | |
| self.reset_predictor() | |
| def reset_predictor(self, predictor_params=None): | |
| if predictor_params is not None: | |
| self.predictor_params = predictor_params | |
| self.predictor = get_predictor(self.net, device=self.device, | |
| **self.predictor_params) | |
| if self.image is not None: | |
| self.predictor.set_input_image(self.image) | |
| def current_object_prob(self): | |
| if self.probs_history: | |
| current_prob_total, current_prob_additive = self.probs_history[-1] | |
| return torch.maximum(current_prob_total, current_prob_additive) | |
| else: | |
| return None | |
| def is_incomplete_mask(self): | |
| return len(self.probs_history) > 0 | |
| def result_mask(self): | |
| return self._result_mask.clone() | |