calib_files[index] bgr = mmcv.imread(file, channel_order='bgr') data, samples = test_pipeline(dict(img=bgr, img_id=index)).values() data = pre_pipeline(data)[0] return data def __len__(self): return len(self.calib_files) quant_dataset = QuantDataset() calib_batch_size = 32 ...
int8 calib 当上述满足耗时要求的模型训练测试完成后,就可以开始做int8校准了,利用脚本进行onnx->tensorrt, 需要打开int8 Calib: calibrator =DatasetCalibrator( calib_dataset, algorithm=DEFAULT_CALIBRATION_ALGORITHM, cache_file=int8_calib_cache) config.int8_calibrator = calibrator config.set_calibration_profi...
const std::string gSampleName = "TensorRT.sample_onnx_image"; const std::string onnxFile = "resnet50.onnx"; const std::string engineFile = "../data/resnet50_int8.trt" const std::string calibFile = "../data/calibration_img.txt" samplesCommon::Args gArgs; std::vector<float> prep...
gLogError << "Failure while parsing ONNX file" << std::endl; return false; } // 建立推理引擎 builder->setMaxBatchSize(BATCH_SIZE); builder->setMaxWorkspaceSize(1 << 30); nvinfer1::int8EntroyCalibrator *calibrator = nullptr; if (calibFile.size()>0) calibrator = new nvinfer1::int8...
config.int8_calibrator = int8_calib # 构建TensorRT engine engine = builder.build_cuda_engine(network) # 序列化并保存engine with open(engine_file_path, 'wb') as f: f.write(engine.serialize()) 执行量化脚本:运行量化脚本,生成INT8量化的TensorRT engine。 部署和推理:将量化的TensorRT engine部署到...
I have also an other question about the--calib_preprocessoroptionherewhen calibrating and--preprocessoroptionherewhen validating. By default it isV2so how to change it according to other standard models? Best regards, Harry Harry-S2022 年9 月 13 日 07:236 ...
.操作步骤准备校正集文件CalibrationFile 编译命令: g++createCalibrationCache.cpp-lopencv_imgproc-lopencv_core-lopencv_imgcodecs-occc-g执行命令: ./ccccachelmgs.calibILSVRC2021_valJPEG 注: 1、这里ccc即测试程序,cacheImgs.calib是保存的校正集文件第三个参数是使用的图片 2、可以屡次使用不同的图片,增加...
Int8EntropyCalibrator2 *calibrator = new Int8EntropyCalibrator2(1, INPUT_W, INPUT_H, "./coco_calib/", "int8calib.table", INPUT_BLOB_NAME); config->setInt8Calibrator(calibrator); Error [ 50%] Built target myplugins Scanning dependencies of target yolov5 ...
quant_desc_input = QuantDescriptor(calib_method=calibrator) else: quant_desc_input = QuantDescriptor(calib_method=calibrator, axis=None) quant_nn.QuantConv2d.set_default_quant_desc_input(quant_desc_input) quant_nn.QuantConvTranspose2d.set_default_quant_desc_input(quant_desc_...
1、这里ccc即测试程序,cacheImgs.calib是保存的校正集文件第三个参数是使用的图片 2、可以多次使用不同的图片,增加校正集中图片的数量,这里只为测试只采用了一张图片 4.2. 这里使用了TensorRT提供的trtexec样例程序, 执行命令: 4.3. 这里采用了TensorRT提供的SampleGoogleNet样例程序 ...