这里直接使用paddlex --export_inference 导出的模型。模型文件内容如图 2、导入相关库 from paddle.inference import Config # AnalysisConfig的相关设置 from paddle.inference import create_predictor # 创建PaddlePredictor # 其他的一些辅助库 import cv2 import numpy as np import yaml import time import datetime...
62 top_n_ = nms_param.top_n(0); 63 64 out_channel_ = rpn_proposal_output_score_ ? 9 : 5; 65 }◆ ~RCNNProposalPlugin()virtual apollo::perception::inference::RCNNProposalPlugin::~RCNNProposalPlugin ( ) inlinevirtual 在文件 rcnn_proposal_plugin.h 第67 行定义. 67{}成员...
Model outputs: Double-check that the ONNX model outputs match the expected format. You may use tools like Netron to inspect the model structure. Non-Max Suppression (NMS): Validate your custom NMS implementation. Consider testing the ONNX model with simpler inputs to confirm predictions before ...
►NMSSSDParameter ►NoiseParameter ►NonMaximumSuppressionParameter ►NormalizedBBox ►NormalizeParameter ►ObstacleDetector ►PaddingParameter ►PaddleNet ►ParameterParameter ►ParamSpec ►PermuteParameter ►PoolingParameter ►PowerParameter ►PReLUParameter ►PriorBoxParameter ►PythonParamete...
RuntimeError: CUDA error: misaligned address terminate called after throwing an instance of 'c10::Error' what(): CUDA error: misaligned address Exception raised from create_event_internal at /opt/conda/conda-bld/pytorch_1614378062065/work/c10/cuda/CUDACachingAllocator.cpp:733 (most recent call fir...
在计算能力方面，NVIDIA的A100系列GPU是目前市场上较为流行的选择。它采用了先进的Ampere微架构，具备强大...
eager模式量化 在torch.fx出现之前（pytorch1.8之前），量化可以在eager模式下进行。对一个resnet18进行...
det_east_nms_threshfloat0.2Threshold of nms in EAST postprocess The relevant parameters of the SAST algorithm are as follows parameterstypedefaultimplication det_sast_score_threshfloat0.5Score thresholds in SAST postprocess det_sast_nms_threshfloat0.5Thresholding of nms in SAST postprocess ...
deepsort = DeepSort(cfg.DEEPSORT.REID_CKPT, max_dist=cfg.DEEPSORT.MAX_DIST, min_confidence=cfg.DEEPSORT.MIN_CONFIDENCE, nms_max_overlap=cfg.DEEPSORT.NMS_MAX_OVERLAP, max_iou_distance=cfg.DEEPSORT.MAX_IOU_DISTANCE, max_age=cfg.DEEPSORT.MAX_AGE, n_init=cfg.DEEPSORT.N_INIT, nn_budget...
Finally, non-maximum suppression (NMS) is used to filter and merge overlapping bounding boxes to obtain the final object detection results. Get Yolov5 source code. git clone https://github.com/airockchip/yolov5.git Enter Yolov5 source code directory. cd yolov5 Set up the model training ...