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 (...
create_dict (GenParam) set_dict_tuple (GenParam, 'overwrite_files', true) create_dl_preprocess_param_from_model (DLModelHandle, 'false', 'full_domain', [], [], [], DLPreprocessParam) *预处理 preprocess_dl_dataset (DLDataset, DataDirectory, DLPreprocessParam, GenParam, DLDatasetFilename...
该函数先从DLDataset中获取样本数据,将样本与标注的类对应起来。然后创建了数据字典,基于单个分类进行分割。在每个类别的图像中提取一定比例用于构建三类数据集。 数据集预处理 先从模型中获取预处理参数,例程中使用了自定义函数create_dl_preprocess_param_from_model从深度学习网络中提取预处理参数,如: 'type' 'image...
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...
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) ...
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 ...
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。
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,'runtime','gpu') set_dl_model_param (DLModelHandle,'runtime_init','immediately')*设置预处理参数,并进行预处理 create_dict (PreprocessSettings) set_dict_tuple (PreprocessSettings,'overwrite_files',true) ...
set_dl_model_param (DLModelHandle, 'device', DLDevice) *设置预处理参数 * Set preprocessing parameters and preprocess the dataset. create_dl_preprocess_param_from_model (DLModelHandle, 'constant_values', 'full_domain', [], [], [], DLPreprocessParam) *PreprocessSettings := dict{overwrite_...