lbq779660843 / yolov5_ncnn

🍅 Deploy NCNN on mobile phones. Support Android and iOS.

中文说明

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Ncnn deployment on mobile,support:YOLOv5s,YOLOv4-tiny,MobileNetV2-YOLOv3-nano,Simple-Pose,Yolact,ChineseOCR-lite,ENet,Landmark106,DBFace,MBNv2-FCN and MBNv3-Seg-small on camera.

iOS:

• Xcode 11.5
• macOS 10.15.4
• iPhone 6sp 13.5.1

Android:

• Android Studio 4.0
• Win10 1909
• Meizu 16x 8.1.0 (CPU:Qualcomm 710 GPU:Adreno 616)

Android has added permission requests, but if it still crashes, please manually confirm whether the relevant permissions are allowed.

iOS

Select the model to be tested directly on the interface.

Android

Select the model to be tested directly on the interface.

Models

model	android	iOS	from
YOLOv5s	yes	yes	Github
YOLOv4-tiny	yes	yes	Github
YOLOv3-nano	yes	yes	Github
YOLOv5s_custom_op	yes	yes	zhihu
NanoDet	yes	yes	Github
YOLO-Fastest-xl	yes	yes	Github
Simple-Pose	yes	yes	Github
Yolact	yes	yes	Github zhihu
ChineseOCR_lite	yes	cancel	Github zhihu
ENet	bug	cancel	Github
Landmark106	yes	yes	Github
DBFace	yes	yes	Github
MBNv2-FCN	yes	yes	Github
MBNv3-Seg-small	yes	yes	Github

iOS:

• Copy .param and .bin from "android_YOLOV5_NCNN\app\src\main\assets" to "iOS_YOLOv5NCNN\YOLOv5NCNN\res"
• If it prompts that net.h can't be found, you need to download it from the ncnn official website or compile .framework yourself and replace it in the project. If opencv2.framework is useful, you need to download it again and replace it in the project.
• The default library used by iOS does not include vulkan and bitcode.

Android：

• Due to factors such as mobile phone performance and image size, FPS varies greatly on different mobile phones. This project mainly tests the use of the NCNN framework. For the conversion of specific models, you can go to the NCNN official to view the conversion tutorial.
• Because the opencv library is too large, only arm64-v8a/armeabi-v7a is reserved. If you need other versions, go to the official download.
• ncnn temporarily uses the vulkan version, and acceleration needs to be turned on before loading, which is not turned on in this project. If you want to use the ncnn version, you need to modify the CMakeLists.txt configuration.
• Different AS versions may have various problems with compilation. If the compilation error cannot be solved, it is recommended to use AS4.0 or higher to try.

Convert locally(Will not upload model): [xxxx -> ncnn] https://convertmodel.com/

Minimal OpenCV:https://github.com/nihui/opencv-mobile

🎨 Screenshot

Android

mbnv2-yolov3-nano	yolov4-tiny	yolov5s

simple_pose	yolact	chineseocr_lite_01

chineseocr_lite_02	ENet	yoloface500k-landmark106

dbface	mbnv2_fcn	mbnv3_seg_small

yolov5s_custom_op	nanodet	yolo-fastest-xl

iOS

mbnv2-yolov3-nano	yolov4-tiny	yolov5s

yolov5s_custom_op	nanodet	yolo-fastest-xl

mbnv2_fcn	mbnv3_seg_small	simple_pose

yolact	yoloface500k-landmark106	dbface

Thanks:

• sunnyden, dog-qiuqiu, ..., nihui
• https://github.com/Tencent/ncnn