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 try to understand Deepdetect right now, starting with the Plattforms Docker container.
It looks great on pictures, but I have a hard time right now using it :)

My Problem: The docs seems to step over important points, like using JupyterLab. All examples shows the finished Custom masks, but how do I get them?

Is there something missing in the docs?

Example: https://www.deepdetec

Description

In the changelog it is stated that there is a linux port..... However that is absolutely nowhere to be found, not on the wiki, and nowhere on the github page, what gives?

Also, i know telegram would be more of an appropriate place for this, but i don't have a carrier number as i don't need one and honestly cannot be bothered to bug someone else to use their carrier number sim

Show difference quality as a numerical value between original (full size) image and upscaled image in the waif2x implementation comparison chart.

Probably using SSIM. Would be a informative comparison.

Is your feature request related to a problem? Please describe.
N/A

Describe the solution you'd like
更新首页信息
1 增加版本说明
2 简化说明文案

Describe alternatives you've considered
N/A

Additional context
N/A