使用操作符get_dl_model_param或函数create_dl_preprocess_param_from_model请求模型对图像施加的要求; 使用操作符set_dl_model_param设置“模型参数”一节中描述的模型参数; 使用函数gen_dl_samples_from_images为每个图像生成一个数据字典DLSample; 每个图像都必须像训练一样使用函数preproc
create_dl_preprocess_param_from_model (DLModelHandle, 'false', 'full_domain', [], [], [], DLPreprocessParam) 1. 2. 3. 4. 5. 6. 4.显示标注文件 dev_display_dl_data (DLSampleBatchDisplay[Index], [], DictHandle, 'bbox_ground_truth', GenParam, WindowHandleDict) get_dict_tuple (...
HalconHelper.create_dl_preprocess_param_from_model(hv_DLModelHandle, "false", "full_domain", new HTuple(), new HTuple(), new HTuple(), out hv_DLPreprocessParam); HOperatorSet.QueryAvailableDlDevices("runtime", "cpu", out hv_DLDeviceHandles); HOperatorSet.SetDlModelParam(hv_DLModel...
create_dict (DLModelDetectionParam) set_dict_tuple (DLModelDetectionParam,'image_width',512) set_dict_tuple (DLModelDetectionParam,'image_height',320) set_dict_tuple (DLModelDetectionParam,'image_num_channels',3) set_dict_tuple (DLModelDetectionParam,'min_level',2) set_dict_tuple (DLModel...
preprocess_dl_dataset. To use this procedure, specify the preprocessing parameters as, e.g., the image size. Store all the parameter with their values in a dictionary DLPreprocessParam, for which you can use the procedure create_dl_preprocess_param_from_model. We recommend to save this ...
set_dl_model_param(DLModelHandle,'class_names', ClassNames)* 分割数据集,70%用作训练,15%用作验证,剩下作为测试 split_dl_dataset(DLDataSet,70,15, []) create_dl_preprocess_param_from_model(DLModelHandle,'none','full_domain', [], [], [], DLPreprocessParam) ...
The HDevelop example program hdevelop/Deep-Learning/AnomalyDetection/dl_anomaly_detection_workflow.hdev created DL preprocessing parameters with wrong image_range_min and image_range_max values, stored in DLPreprocessParam. This problem has been fixed. Now, DLPreprocessParam uses the same image_range_...
使用操作符set_dl_model_param设置参数,如'batch_size'。 使用函数gen_dl_samples_from_images为每个图像生成一个数据字典DLSample。 使用函数preprocess_dl_samples像训练时那样对图像进行预处理。在预处理步骤中保存字典DLPreprocessParam时,可以直接使用它作为输入来指定所有参数值。
Data_Infer_OnLine_classify(Image,DLPreprocessParam,DLModelHandle,bbox_class_id)stop()endfor 1、数据预处理:(Data_preprocessing_classify) dev_update_off()*分类的数据增强if(Enhanced>0)data_enhanced_classify(DLDataset,Enhanced,ImageFormat,ImageFill,DLDataset)endif*预处理输出文件夹 ...
4. 现在可以对数据集进行预处理了。为此，您可以使用该函数preprocess_dl_dataset。对于 自定义预处理，本函数提供了实现的指导。要使用这个函数，请指定预处理参数，例如，图像的大小。将所有参数及其值存储在DLPreprocessParam字典中，您可以使用该函数create_dl_preprocess_param。我们建议保存这个字典DLPreprocessParam，...