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A C++ API of the LFFD with ncnn

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ncnn版在win10下resize到320, 360速度为386.93

RT 单位为ms

Running on a GPU

Hello,
I modified your code as follows, I have a GPU and Vulkan fully working.

// enable vulkan compute feature before loading
    if (useGPU) {
        lffd.opt.use_vulkan_compute = true;
    }
	lffd.load_param(param_file_name.data());
	lffd.load_model(bin_file_name.data());
	std::cout <<"model loaded, GPU enables?=" << lffd.opt.use_vulkan_compute << std::endl;

However, if I load your model to a GPU it crashes. Everything is fine on a CPU.

Thanks.

加载模型疑惑？

原版mxnet是一个.json和一个.param文件.如下：

        symbol_file_path = '../symbol_farm/symbol_10_560_25L_8scales_v1_deploy.json'
        model_file_path = '../saved_model/configuration_10_560_25L_8scales_v1/train_10_560_25L_8scales_v1_iter_1400000.params'

您的ncnn是一个.param一和个.bin文件，这两个文件怎么来的？用什么工具把上面两个文件转换的来吗？

i can only detect one face.

my picture have many faces,while the code can only find one ,why?

about nms

different nms lead to different results.

ncnn error

我用v2版本人脸检测测试的时候显示的错误是slice_axis不支持，我想问下你们用的ncnn是哪一个版本

thank you for your contribution.
Could you tell me how you converted the Mxnet model to NCNN?
When I tried the direct conversion using the Mxnet2Ncnn tool, there are layers missing.
Did you convert it to ONNX first?
Would be great if you could share a conversion path.

Thank you!

Could The official mxnet models be converted to ncnn models directly?

detection result is wrong with converted model(v2)

the bounding box is large and missed most of the faces in the image.

求问坐标值的计算原理

你好，
//x-left-top
float mid_value = 0;
for (int j = 0; j < fea_h * fea_w; j++) {
mid_value = RF_center_Xs_mat[j] - box_map.channel(0)[j] * constant[scale_id];
x_lt_mat[j] = mid_value < 0 ? 0 : mid_value;
}
不太理解这段code坐标值的计算原理（ RF_center_Xs_mat[j] - box_map.channel(0)[j] * constant[scale_id];），能否讲解一下呢不胜感激

pedestrian_detection

how to achieve pedestrian_detection in LFFD-with-ncnn ? How to modify the LFFD.cpp?

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