使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序
onnx文件在百度云盘，下载链接：https://pan.baidu.com/s/11UAVSPWbDKY_LmmoHlUQXw 提取码：147w
下载完成后，把文件放在代码文件所在目录里，就可以运行程序了。如果出现读取onnx文件失败， 那很有可能是你的opencv版本低了，需要升级到4.5以上的
nanodet-opncv-dnn-cpp-python 用opencv部署nanodet目标检测，包含C++和python两种版本程序的实现， 使用opencv里的dnn模块加载网络模型，图像预处理和后处理模块是使用C++和python编程实现。 整个程序运行，不依赖任何深度学习框架， 在wind
YOLOX(Megvii-BaseDetection) Deploy DeepStream 💕 💥 This project base on https://github.com/Megvii-BaseDetection/YOLOX and https://zhuanlan.zhihu.com/
Lite.AI 🚀🚀🌟 is a user-friendly C++ lib for awesome🔥🔥🔥 AI models based on onnxruntime, ncnn or mnn. YOLOX🔥, YoloV5🔥, YoloV4🔥, DeepLabV3🔥, ArcFace🔥, CosFace🔥, Colorization🔥, SSD🔥, etc.
Lite.AI 🚀 🚀 🌟 Introduction. Lite.AI 🚀 🚀 🌟 is a simple and user-friendly C++ library of awesome 🔥 🔥 🔥 AI models. It's a collection of personal
The yolox hand detection This is a sample ncnn android project, it depends on ncnn library and opencv https://github.com/Tencent/ncnn https://github.c
Lite.AI.ToolKit 🚀 🚀 🌟 : A lite C++ toolkit of awesome AI models which contains 70+ models now. It's a collection of personal interests. Such as RVM, YOLOX, YOLOP, YOLOR, YoloV5, DeepLabV3, ArcFace, etc.
YOLOX-ROS YOLOX+ROS2 Foxy Supported List Base ROS1 C++ ROS1 Python ROS2 C++ ROS2 Python CPU ✅ CUDA ✅ CUDA (FP16) ✅ TensorRT (CUDA) ✅ OpenVINO ✅ MegEng
YoloX Jetson Nano YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a Jetson Nano, see Q-engineering deep le
YoloX Raspberry Pi 4 YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a bare Raspberry Pi 4, see Q-engineer
Traceback (most recent call last):
File "main.py", line 153, in
我如你所说注释掉了均值那些（void yolox::normalize(Mat& img)） 然后就跑通了，但是我感觉AP好像没有ncnn高(threshold阈值都是0.25)，当然速度确实比ncnn快了一倍（i3-8100 cpu）。 请问是不是要改如下几处？ 也就是说yolox-tiny不能沿用你在cpp里预设好的值？
const int stride[3] = { 8, 16, 32 }; const float mean[3] = { 0.485, 0.456, 0.406 }; const float std[3] = { 0.229, 0.224, 0.225 };
关注了你在CSDN的博客，工作很棒，请继续加油！ 另外我有个不情之请，能不能写一篇关于opencv dnn实现神经网络的文章呢？ 比如，有些网络结构中的某些层，在opencv自己的定义中没有，需要自行改动layer的定义，能否结合一个实例，给介绍一下如何实现？需要注意的问题有哪些？ 不情之请，还望百忙之中抽时间给与支持！
再谢再盼！
nanodet-opncv-dnn-cpp-python 用opencv部署nanodet目标检测，包含C++和python两种版本程序的实现， 使用opencv里的dnn模块加载网络模型，图像预处理和后处理模块是使用C++和python编程实现。 整个程序运行，不依赖任何深度学习框架， 在wind
YOLOX(Megvii-BaseDetection) Deploy DeepStream ?? ?? This project base on https://github.com/Megvii-BaseDetection/YOLOX and https://zhuanlan.zhihu.com/
Lite.AI ?????? is a user-friendly C++ lib for awesome?????? AI models based on onnxruntime, ncnn or mnn. YOLOX??, YoloV5??, YoloV4??, DeepLabV3??, ArcFace??, CosFace??, Colorization??, SSD??, etc.
Lite.AI ?? ?? ?? Introduction. Lite.AI ?? ?? ?? is a simple and user-friendly C++ library of awesome ?? ?? ?? AI models. It's a collection of personal
The yolox hand detection This is a sample ncnn android project, it depends on ncnn library and opencv https://github.com/Tencent/ncnn https://github.c
Lite.AI.ToolKit ?? ?? ?? : A lite C++ toolkit of awesome AI models which contains 70+ models now. It's a collection of personal interests. Such as RVM, YOLOX, YOLOP, YOLOR, YoloV5, DeepLabV3, ArcFace, etc.
YOLOX-ROS YOLOX+ROS2 Foxy Supported List Base ROS1 C++ ROS1 Python ROS2 C++ ROS2 Python CPU ✅ CUDA ✅ CUDA (FP16) ✅ TensorRT (CUDA) ✅ OpenVINO ✅ MegEng
YoloX Jetson Nano YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a Jetson Nano, see Q-engineering deep le
YoloX Raspberry Pi 4 YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a bare Raspberry Pi 4, see Q-engineer
yolor-onnxruntime 使用ONNXRuntime部署anchor-free系列的YOLOR，包含C++和Python两种版本的程序 YOLOR是一个anchor-free系列的YOLO目标检测，不需要anchor作为先验。本套程序参考了YOLOR的 官方程序(https://githu
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