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import numpy as np |
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import ssg_utils as utils |
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def getLinearEquation(p1x, p1y, p2x, p2y): |
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sign = 1 |
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a = p2y - p1y |
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if a < 0: |
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sign = -1 |
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a = sign * a |
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b = sign * (p1x - p2x) |
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c = sign * (p1y * p2x - p1x * p2y) |
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return [a, b, c] |
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def cal_glocal_position(object, floor, distance_rate=1.6): |
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tgt_pos = object.position |
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room_pos = floor.position |
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room_rect = floor.bottom_rect |
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center_dis = utils.euclideanDistance(tgt_pos, room_pos, 2) |
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if center_dis < distance_rate: |
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return 'in the center' |
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for point in room_rect: |
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if utils.euclideanDistance(tgt_pos, point, 2) < distance_rate: |
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return 'in the corner' |
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return None |
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def cal_camera_relations(ObjNode_dict, camera_position, camera_view, inst_dict, floor_idx, fov = 60): |
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relationships = [] |
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for obj_id in ObjNode_dict: |
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if ObjNode_dict[obj_id].label == 'floor': continue |
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obj_position = ObjNode_dict[obj_id].position |
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vector = obj_position - camera_position |
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vector = vector / np.linalg.norm(vector) |
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angle = utils.get_theta(vector, camera_view) |
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a, b, c = getLinearEquation(camera_view[0]+camera_position[0], |
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camera_view[1]+camera_position[1], |
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camera_position[0], |
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camera_position[1]) |
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if abs(angle) < fov/2: |
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rela = 'in front of' |
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elif abs(angle) > 180 - fov/2: |
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rela = 'behind' |
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elif a*obj_position[0] + b*obj_position[1] + c > 0: |
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rela = 'right' if camera_view[1] > 0 else 'left' |
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else: |
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rela = 'left' if camera_view[1] > 0 else 'right' |
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relationships.append(['-1', obj_id, rela]) |
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if inst_dict[ObjNode_dict[obj_id].label] > 1: |
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rela = cal_glocal_position(ObjNode_dict[obj_id], ObjNode_dict[floor_idx]) |
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if rela is not None: |
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relationships.append([obj_id, obj_id, rela]) |
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return relationships |
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