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

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

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!

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.

机型：红米K30 NDK版本：android-ndk-r21e camke版本：3.10.2-win64-x64

ALooper_pollAll的返回值一直都是-3，进不去下面的陀螺仪事件里去，导致横屏时识别效果很差，因为图像没旋转的缘故，不知道为什么。

但是这里无视这个错误继续进入那个if分支的话好像也没啥问题，横屏时陀螺仪也能正常工作。

Hello,

I want to implement the title function, and pass the value to the U3D painting after obtaining the detection result. How can I hide my current display screen?

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!

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 ?