我发现examples/retinaface.cpp中，如果开启OMP加速的话似乎在检测到人脸时会发生内存泄漏，但我定位不了这个问题的具体原因。

值得注意的时，如果将qsort_descent_inplace函数中的OMP指令注释掉这个问题就会消失掉。

static void qsort_descent_inplace(std::vector<FaceObject>& faceobjects, int left, int right)
{
    int i = left;
    int j = right;
    float p = faceobjects[(left + right) / 2].prob;
    ...
    // #pragma omp parallel sections
    {
        // #pragma

Hi, I'm a starter and trying to learn how to customize or modify my own mediapipe line. I used Neural Networks to train landmarks which extract from mediapipe. Is there any way I can put my trained model back to mediapipe to implementing real-time gesture recognition？Thanks for your help.

To get started using this repo quickly using a Google Cloud Platform (GCP) Deep Learning Virtual Machine (VM) follow the instructions below. New GCP users are eligible for a $300 free credit offer. Other quickstart options for this repo include our [Google Colab Notebook](https://colab.research.google.com/github/ultralytics/yolov3/blob

🚀 Feature request

Current Behavior

flow(
    SomeIOType.decode,
    ... etc
)

Accessing .decode of a type by passing it, causes lint warning:
warning Avoid referencing unbound methods which may cause unintentional scoping of this @typescript-eslint/unbound-method

However the function is specifically bound: this.decode = this.decode.bind(this);

Desi

When attempting to download cityscapes_2048x1024 I got: ./download-models.sh: line 721: download_fcn_resnet18_cityscapes_2048x512: command not found
It looks like there was a typo, and line 721 needs to be changed from:
download_fcn_resnet18_cityscapes_2048x512 to download_fcn_resnet18_cityscapes_2048x1024

Thanks for the amazing repo!

Followed instructions from https://dev.grakn.ai/docs/general/quickstart and immediatly reached these errors :

grakn-core-all-windows-1.7.1>grakn.bat console --keyspace social_network --file ./schema.gql

22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could

The dldt/get-started-linux.md documented references <DLDT_DIR>/inference-engine/samples/sample_data in several places, but I'm not able to find that directory or any references to it except in the documentation.

Hi NVIDIA Team,

To make this project successful, I would like to suggest to add few things. I would love to assist on this.

1. Complete technical installation steps to add more values
2. Details of all pre-requisites, to build this project successfully.
3. Overall technical background, design and architecture. Just like we provide a technical guide and documentation for other software engine

https://www.usenix.org/conference/opml19/program

Prepare to read papers

https://github.com/awslabs/mxnet-model-server/blob/master/plugins/endpoints/src/main/java/software/amazon/ai/mms/plugins/endpoint/ExecutionParameters.java#L26

'max_request_size' seems to refer to bytes, not mb.

Link

https://github.com/tucan9389/MLProblem-MLFramework-for-iOS-template-project