Android MoveNet pose estimation by ncnn

Overview

ncnn_Android_MoveNet

Android MoveNet single human pose estimation by ncnn

this project is a ncnn Android demo for MoveNet, it depends on ncnn library and opencv.
https://github.com/Tencent/ncnn
https://github.com/nihui/opencv-mobile

model support:

1.movenet-singlepose-lightningv4(from tfhub)
2.movenet-singlepose-thunderv4(from tfhub)

how to build and run

step1

https://github.com/Tencent/ncnn/releases

  • Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
  • Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

step2

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

  • Download opencv-mobile-XYZ-android.zip
  • Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt

step3

  • Open this project with Android Studio, build it and enjoy!

result

reference:

https://github.com/nihui/ncnn-android-nanodet
https://tfhub.dev/google/movenet/singlepose/lightning/4
https://tfhub.dev/google/movenet/singlepose/thunder/4

Issues
  • The speed might not fast as the tflite version?

    The speed might not fast as the tflite version?

    Hi there, I used the lightning model and the after-treatment from this project and find the fps is about 20 and up to 25 which is not fast as the original tflite version. I'm not sure the reason, there's my doubt:

    1. the after-treatment cause more computing resources?
    2. there are some opt. in ncnn can be opened, such as vulkan?
    3. the model in ncnn is natively slower than tflite cuz the tflite model is also optimized? Could you give some enlightenment about these? Thx
    opened by FreedoomG 2
  • gpu cpu两种模式没差别

    gpu cpu两种模式没差别

    cpu占用基本一眼,帧率基本一样 设备 amlogic 311D PID USER PR NI VIRT RES SHR S[%CPU] %MEM TIME+ ARGS 20344 u0_a55 10 -10 1.2G 207M 104M S 284 10.3 32:20.16 com.tencent.ncnnbodypose

    20344 u0_a55 10 -10 1.2G 209M 104M S 272 10.4 33:09.35 com.tencent.ncnnbodypose

    opened by lovehuanhuan 0
  • issue about the output of the model

    issue about the output of the model

    hi I found that there are 4 outputs of lighting.param and thunder.param which are regress, offset, heatmap and center. could you give some advice of how to use these outputs to generate the keypoints? cuz I cannot find the code here. Thx!

    opened by FreedoomG 0
  • @feigechuanshu can you make a face recognition app using NCNN? maybe MobileFaceNet?

    @feigechuanshu can you make a face recognition app using NCNN? maybe MobileFaceNet?

    could you bring something like this to android ? https://github.com/honghuCode/mobileFacenet-ncnn

    for real-time face recognition on live video. With re-training capabilities, in which user can retrain any given face name with additional data.

    opened by GeorvityLabs 0
  • model convert

    model convert

    thank you for this nice work.Now I want to convert the tensorflow hub's official movenet model to ncnn. My convert steps as follows: 1、convert pb to onnx; 2、optimize and simplifier onnx model; 3、convert onnx to ncnn; However there some ops ncnn dont support. Error msg as follows: Cast not supported yet!

    to=1

    Unsupported split axis ! ArgMax not supported yet!

    axis=1

    keepdims=0

    Cast not supported yet!

    to=6

    Cast not supported yet!

    to=1

    Cast not supported yet!

    to=7

    GatherND not supported yet! Cast not supported yet!

    to=1

    ArgMax not supported yet!

    axis=1

    keepdims=0

    Cast not supported yet!

    to=6

    Cast not supported yet!

    to=1

    Cast not supported yet!

    to=7

    GatherND not supported yet! Unsupported unsqueeze axes ! Unsupported unsqueeze axes ! Cast not supported yet!

    to=7

    GatherND not supported yet! GatherND not supported yet! Unsupported unsqueeze axes ! Unsupported unsqueeze axes ! Cast not supported yet!

    to=1

    Unsupported unsqueeze axes ! It will be very nice if you can tell me how do you solve this problem, thank you!

    opened by ccslience 0
  • Convert .pt to .bin and .param format

    Convert .pt to .bin and .param format

    I trained my model yolov5 for object detection and now i want to deploy it on android app. Before I tried covert to .tflite format but slowly. I saw in assets folder the format you used is .bin and .param format. What code did you use to convert my model to format .bin and .param ?

    opened by Houangnt 0
Owner
FeiGeChuanShu
FeiGeChuanShu
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