Three-dimensional model printing cost evaluation method and device
A 3D model and cost estimation technology, which is applied in the fields of printing cost estimation and machine learning, can solve the problems of difficult 3D printing and high cost of manual estimation, so as to reduce the dependence on labor, reduce the cost of manual estimation, and improve user experience.
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specific Embodiment 1
[0071] like figure 1 As shown, the embodiment of the present invention provides a method for estimating the printing cost of a 3D model, which is characterized in that it includes:
[0072] Sample acquisition step S101:
[0073] Obtain the geometric data and printing data of the 3D model printing sample; each sample is set with features;
[0074] Model building step S102:
[0075] Estimate the printing cost of the 3D model based on the geometric data and printing data of the sample, and establish a random forest model;
[0076] Model adjustment step S103:
[0077] Data training using random forest model;
[0078] Adjust the characteristics of the random forest model multiple times and calculate the corresponding out-of-bag error to minimize the out-of-bag error of the random forest;
[0079] Cost estimation step S104:
[0080] Estimation of printing costs for 3D models based on a conditioned random forest model.
[0081] The embodiment of the present invention may inclu...
specific Embodiment 2
[0121] like figure 2 As shown, the embodiment of the present invention provides a 3D model printing cost estimation device, including:
[0122] The sample acquisition module 201 is used for:
[0123] Obtain the geometric data and printing data of the 3D model printing sample; each sample is set with features;
[0124] Model building module 202, for:
[0125] Estimate the printing cost of the 3D model based on the geometric data and printing data of the sample, and establish a random forest model;
[0126] Model adjustment module 203, for:
[0127] Data training using random forest model;
[0128]Adjust the characteristics of the random forest model multiple times and calculate the corresponding out-of-bag error to minimize the out-of-bag error of the random forest;
[0129] A cost estimation module 204 for:
[0130] Estimation of printing costs for 3D models based on a conditioned random forest model.
[0131] The embodiment of the present invention does not limit whet...
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