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		<title>MobileNetV3的oxxruntime推理(Python)</title>
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		<pubDate>Fri, 07 Jun 2024 11:25:01 +0000</pubDate>
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					<description><![CDATA[import cv2 import numpy as np import onnxruntime as ort def load_model(model_path): """加载ONNX模型""" session = ort.InferenceSession(model_path) return session def preprocess_image(image_path): image = cv2.imread(image_path)[......] 继续阅读]]></description>
		
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		<title>MobileNet的onnxruntime推理(C++)</title>
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		<pubDate>Fri, 07 Jun 2024 11:23:08 +0000</pubDate>
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					<description><![CDATA[#include &#60;opencv2/opencv.hpp&#62; #include &#60;onnxruntime/onnxruntime_cxx_api.h&#62; #include &#60;vector&#62; #include &#60;iostream&#62; int main() { // load onnx model Ort::Env env(OrtLoggingLevel::ORT_LOGGING_LEVEL_WARNING, "test"[......] 继续阅读]]></description>
		
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		<title>MobileNet v3的Java推理</title>
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		<pubDate>Thu, 16 May 2024 12:04:32 +0000</pubDate>
				<category><![CDATA[Linux]]></category>
		<category><![CDATA[mobilenet v3]]></category>
		<category><![CDATA[onnx]]></category>
		<category><![CDATA[图像分类]]></category>
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					<description><![CDATA[模型是MobileNet v3 small + 微调分类器，pyTorch训练后导出onnx模型 pom： &#60;dependencies&#62; &#60;dependency&#62; &#60;groupId&#62;com.microsoft.onnxruntime&#60;/groupId&#62; &#60;artifactId&#62;onnxruntime&#60;/artifactId&#62; &#60;version&#038;gt[......] 继续阅读]]></description>
		
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