• Compute the more accurate x and y coordinate by weight averaging 3x3 Slide window array around it without using the max x, y coordinate.
• Before weight averaging coordinate x, y 33, 48 after 33.23634, 48.47124 (If you reverse it to the display size of the phone, the difference becomes more bigger.)

This repository is implemented PoseEstimationForMobile (Thanks for authors). Model files were excluded(related to company). If you want to write a model file, please use the PoseEstimationForMobile Model. or frozen_model.pb --> Optimizing model --> Optimized_model.pb --> Converting Deployment model --> Finally Make model.a file.**

if you use this repository, convert model(s) to code
Example)
# model_graph_format: code
# model_data_format: code
builds
  ├── include
  │   └── mace
  │       └── public
  │           ├── mace_engine_factory.h
  │           └── cpm_v2.h
  └── model
      └── cpm-v2.a

PoseEstimationForMobile' repository is used v0.9.0 (2018-07-20) So migration lastest version v0.10.0 (2019-01-03). If you build a Mace library (libmace.a) from Xiaomi github (master or v0.10.0 later version), you need to re-write the code(*.cpp). and deleted OpenCV3 library

1. Support mixing usage of CPU and GPU.
2. Support ONNX format.
3. Support ARM Linux development board.
4. Support CPU quantization.
5. Update DSP library.
6. Add Depthwise Deconvolution of Caffe.
7. Add documents about debug and benchmark.
8. Bug fixed.

1. Remove all APIs in mace_runtime.h

1. Add GPUContext and GPUContextBuilder API.
2. Add MaceEngineConfig API.
3. Add MaceStatus API.
4. MaceTensor support data format.

• OS Platform and Distribution: macOS Mojave 10.14
• Android SDK version : 21 later (Camera2 API)
• Android NDK version : 16(If you higher NDK version(17, 18), you replace cmake arguments gnustl_static => c++_shared or c++_static. because higher version is not supported a gnustl_static)
• Xiaomi version: v0.10.0
• TensorFlow version: master branch
• Python version: 3.6
• Bazel version (if compiling from source): 18 and 19
• GCC/Compiler version (if compiling from source): 5.4

• target_abis : armeabi-v7a
• model_graph_format : code
• model_data_format : code
• winograd : 4 (But there is no performance's improvement)