openvino_contrib

openvino_contrib copied to clipboard

jkoniusz

[JAVA] Fixed tests, add more methods

2

likholat

I suggest to leave all commits, because in this PR lots of files was renamed. All renaming changes done in separate commits, that is why you can see that these...

lohika-denis-kotov

[JAVA] API 2.0 face detection demo

1

likholat

[java_api] Android demo application for ARM CPUs

6

This is the Android demo application using [arm_plugin](https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/arm_plugin) to reach inference engine. Using object detection model and recognition model to locate and recognize attributes of detected vehicles.

IRONICBo

error: unknown target CPU 'armv8.2-a+fp16'

2

hello,when compile the project in m1 machine,i got the errors below: I pull the master branch of openvino and openvino_contrib in 2022/04/12 - mac mini(M1 2020) - big sur(11.5.1) ```...

latermarch

arm_plugin compile error

1

/usr/bin/ld: ../thirdparty/libarm_compute-static.a(CPPScheduler.o): in function `arm_compute::(anonymous namespace)::Thread::Thread(int)': CPPScheduler.cpp:(.text._ZN11arm_compute12_GLOBAL__N_16ThreadC2Ei+0x78): undefined reference to `pthread_create' /usr/bin/ld: CPPScheduler.cpp:(.text._ZN11arm_compute12_GLOBAL__N_16ThreadC2Ei+0x88): undefined reference to `pthread_create' collect2: error: ld returned 1 exit status Anyone can help? Thanks in advance.

cslxiao

openvino build fails for python onnx

2

I followed the recommended (cross-compiling) build guide and docker image gets created successfully on Raspberry Pi 4 (Raspbian Buster OS). However, when I run mkdir build docker container run --rm...

alexein777

Use arm with python

1

Hi! I want to build and use openvino in mac os with m1 CPU. So, I use this instruction: https://github.com/openvinotoolkit/openvino_contrib/wiki/How-to-build-ARM-CPU-plugin. After building i run setupvars.sh in install_ie folder. But it...

andriyrizhiy

Slow model execution (aarch64)

1

Hello. I'm trying to figure out why IR model executes much slower (up to 5-6 times) than .onnx version (using onnxruntime backend). HW: CPU rockchip rk3399. The model was converted...

MdScntst