changeyourdestiny/yolomobile

A Android Library for YOLOv5/YOLOv7/YOLOv8 Detection and Pose Inference Based on NCNN

A Android Library for YOLOv5/YOLOv7/YOLOv8 Detect/Pose Inference Based on NCNN

Support yolov5, edgeai-yolov5, yolov7, yolov8

System: Android 5.0+(21)

中文

How to

1 download the .aar file

2 put .aar file in app/libs directory

3 edit app/build.gradle

implementation files('libs/yolo_mobile_release_2023xxyyzz_V1.0r1.aar')

4 put ncnn .bin and .param into assets directory

5 create new named 'yolo_cfg.json'

{
  "name": "yolov8n",
  "input_size": 384,
  "param": "yolov.param",
  "bin": "yolo.bin",
  "box_thr": 0.5,
  "iou_thr": 0.5,
  "nkpt": 0, 
  "ver": 8,
  "outputs": [
    {"name": "345","stride":8,"anchors": [10,13, 16,30, 33,23]},
    {"name": "365","stride":16,"anchors": [30,61, 62,45, 59,119]},
    {"name": "385","stride":32,"anchors": [116,90, 156,198, 373,326]}
  ],
  
  "names": [ "person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
  "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
  "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
  "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
  "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
  "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
  "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
  "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
  "hair drier", "toothbrush" ]

}

Key value:

input_size -- input image size (must be w=h), for example: 640

input_name -- input node name

outputs --- list of output node

Optional key value:

ver -- yolo v8 need set to 8

names -- class names

nkpt -- number of keypoint, for example(coco): 17

6 call the model

        infer = new YoloInfer(ctx);
        infer.loadFromConfigAssets("yolo_cfg.json");
        ...
        List<YoloInfer.Box> boxes = infer.detect(bitmap);
        ...
        YoloInfer.draw(canvas,boxes,paint);

Proguard

-keep class com.weiketing.yolomobile.YoloInfer { *; }

Demo

Download demo apk

Screenshot:

Rebuild .aar file

bash gradlew :YoloMobile:assembleRelease