optimize_dl_model_for_inference( : : DLModelHandle, DLDeviceHandle, Precision, DLSamples, GenParam : DLModelHandleConverted, ConversionReport)DescriptionThe operator optimize_dl_model_for_inference optimizes the
halcon深度学习 optimize_dl_model_for_inference( : : DLModelHandle, DLDeviceHandle, Precision, DLSamples, GenParam : DLModelHandleConverted, ConversionReport) optimize_dl_model_for_inference()Optimize a model for inference on a device via the AI2-interface.The parameterDLSamplesspecifies the samples...
优化深度学习模型进行推理，`optimize_dl_model_for_inference`函数通过AI2接口完成。建议使用的`DLSamples`样本应具有代表性，通常每个类别提供10-20个样本即可达到良好的结果。获取设备参数使用`get_dl_device_param`函数，反之，`set_dl_device_param`用于设置设备参数。深度学习模型参数的设置与获取，`s...
'optimize_for_inference' x x 'precision' x 'precision_is_converted' x 'runtime' x x 'runtime_init' x 'solver_type' x x 'type' x 'weight_prior' x x Anomaly Detection GenParamName set get 'batch_size' x x 'batchnorm_momentum' x 'complexity' x x 'device' x ...
stop () endfor * * Optimize the memory consumption. set_dl_model_param (DLModelHandle, 'optimize_for_inference', 'true') write_dl_model (DLModelHandle, RetrainedModelFileName) *Close the windows. dev_close_window_dict (WindowHandleDict) 1. 2. 3. 4. 5. 6. 7. 8....
List of values:'ai_accelerator_interface','calibration_precisions','cast_precisions','conversion_supported','id','inference_only','name','optimize_for_inference_params','precisions','runtime','settable_device_params','type' GenParamValue(input_control)attribute.value(-array)→(string /integer...
parameters are required, so use thedefaultparameters.get_dl_device_param (DLDeviceHandleOpenVINO,'optimize_for_inference_params', OptimizeForInferenceParams)optimize_dl_model_for_inference (DLModelHandle, DLDeviceHandleOpenVINO,'float32', [], OptimizeForInferenceParams, DLModelHandleOpenVINO, Conversion...
Python下的VGG网络模型源码: importtensorflowastfclassVGG16(Model):def__init__(self):super(VGG16,self).__init__()#1self.c1=Conv2D(filters=64,kernel_size=(3,3),padding='same') # 卷积层1self.b1=BatchNormalization()# BN层1self.a1=Activation('relu') # 激活层1# 2self.c2=Conv2D(filter...
'pear': 0.01 could be returned.COCO (上下文常见对象)COCO is an abbreviation (缩写) for "common objects in context", a large-scale object detection, segmentation, and captioning dataset. There is a common file format for each of the different annotation (注释) types.confidence (置信度)
‘optimize_for_inference‘, ‘true‘) 34 2020/5/28 使用内/显存优化模型进行推断 Activations Weights apply_model 更少的内/显存占用(Classification) pretrained_dl_classifier_compact.hdl pretrained_dl_classifier_enhanced.hdl CPU GPU CPU GPU 内/显存占用 ~ 5622 MB ~ 6451 MB ~ 4940 MB ~ 6169 MB ...