UPDATE Vision box:点云与相机坐标
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@ -21,6 +21,7 @@ from Vision.tool.utils import class_names
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from Vision.tool.utils import get_disk_space
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from Vision.tool.utils import remove_nan_mean_value
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from Vision.tool.utils import out_bounds_dete
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from Vision.tool.utils import uv_to_XY
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import os
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class Detection:
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@ -45,7 +46,7 @@ class Detection:
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pass
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def get_position(self, Point_isVision=False, Box_isPoint=True, save_img_point=0, seg_distance_threshold = 0.01, Height_reduce = 30, width_reduce = 30):
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def get_position(self, Point_isVision=False, Box_isPoint=False, save_img_point=0, seg_distance_threshold = 0.01, Height_reduce = 30, width_reduce = 30):
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"""
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检测料袋相关信息
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:param Point_isVision: 点云可视化
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@ -209,8 +210,8 @@ class Detection:
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ransac_n=5,
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num_iterations=5000)
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[a, b, c, d] = plane_model
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# print(f"Plane equation: {a:.2f}x + {b:.2f}y + {c:.2f}z + {d:.2f} = 0")
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# print(f"Plane equation: {a:.2f}x + {b:.2f}y + {c:.2f}z + {d:.2f} = 0")
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# inlier_cloud = pcd.select_by_index(inliers) # 点云可视化
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# inlier_cloud.paint_uniform_color([1.0, 0, 0])
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# outlier_cloud = pcd.select_by_index(inliers, invert=True)
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@ -230,7 +231,10 @@ class Detection:
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box_point_x3, box_point_y3, box_point_z3 = remove_nan_mean_value(pm, box[2][0][1], box[2][0][0])
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box_point_x4, box_point_y4, box_point_z4 = remove_nan_mean_value(pm, box[3][0][1], box[3][0][0])
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else:
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pass
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x1, y1, z1 = uv_to_XY(self.cameraType, box[0][0][0], box[0][0][1])
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x2, y2, z2 = uv_to_XY(self.cameraType, box[1][0][0], box[1][0][1])
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x3, y3, z3 = uv_to_XY(self.cameraType, box[2][0][0], box[2][0][1])
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x4, y4, z4 = uv_to_XY(self.cameraType, box[3][0][0], box[3][0][1])
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x_rotation_center = int((box[0][0][0] + box[1][0][0] + box[2][0][0] + box[3][0][0]) / 4)
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y_rotation_center = int((box[0][0][1] + box[1][0][1] + box[2][0][1] + box[3][0][1]) / 4)
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point_x, point_y, point_z = remove_nan_mean_value(pm, y_rotation_center, x_rotation_center)
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@ -245,8 +249,18 @@ class Detection:
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[box_point_x3, box_point_y3, box_point_z3],
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[box_point_x4, box_point_y4, box_point_z4]])
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else:
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box_list.append(box)
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Depth_Z.append(point_z * 1000)
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box_list.append([[x1, y1, z1],
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[x2, y2, z2],
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[x3, y3, z3],
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[x4, y4, z4],
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])
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if self.cameraType == 'RVC':
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xyz.append([point_x * 1000, point_y * 1000, point_z * 1000])
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Depth_Z.append(point_z * 1000)
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elif self.cameraType == 'Pe':
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xyz.append([point_x, point_y, point_z])
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Depth_Z.append(point_z)
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#Depth_Z.append(point_z * 1000)
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nx_ny_nz.append([a, b, c])
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RegionalArea.append(cv2.contourArea(max_contour))
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uv.append([x_rotation_center, y_rotation_center])
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