File size: 4,268 Bytes
be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 | #include "net.h"
#if defined(USE_NCNN_SIMPLEOCV)
#include "simpleocv.h"
#else
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#endif
#include <stdlib.h>
#include <float.h>
#include <stdio.h>
#include <vector>
static void draw_objects(const cv::Mat& bgr, const cv::Mat& fgr, const cv::Mat& pha)
{
cv::Mat fgr8U;
fgr.convertTo(fgr8U, CV_8UC3, 255.0, 0);
cv::Mat pha8U;
pha.convertTo(pha8U, CV_8UC1, 255.0, 0);
cv::Mat comp;
cv::resize(bgr, comp, pha.size(), 0, 0, 1);
for (int i = 0; i < pha8U.rows; i++)
{
for (int j = 0; j < pha8U.cols; j++)
{
uchar data = pha8U.at<uchar>(i, j);
float alpha = (float)data / 255;
comp.at<cv::Vec3b>(i, j)[0] = fgr8U.at<cv::Vec3b>(i, j)[0] * alpha + (1 - alpha) * 155;
comp.at<cv::Vec3b>(i, j)[1] = fgr8U.at<cv::Vec3b>(i, j)[1] * alpha + (1 - alpha) * 255;
comp.at<cv::Vec3b>(i, j)[2] = fgr8U.at<cv::Vec3b>(i, j)[2] * alpha + (1 - alpha) * 120;
}
}
cv::imshow("pha", pha8U);
cv::imshow("fgr", fgr8U);
cv::imshow("comp", comp);
cv::waitKey(0);
}
static int detect_rvm(const cv::Mat& bgr, cv::Mat& pha, cv::Mat& fgr)
{
const float downsample_ratio = 0.5f;
const int target_width = 512;
const int target_height = 512;
ncnn::Net net;
net.opt.use_vulkan_compute = false;
//original pretrained model from https://github.com/PeterL1n/RobustVideoMatting
//ncnn model https://pan.baidu.com/s/11iEY2RGfzWFtce8ue7T3JQ password: d9t6
if (net.load_param("rvm_512.param"))
exit(-1);
if (net.load_model("rvm_512.bin"))
exit(-1);
//if you use another input size,pleaze change input shape
ncnn::Mat r1i = ncnn::Mat(128, 128, 16);
ncnn::Mat r2i = ncnn::Mat(64, 64, 20);
ncnn::Mat r3i = ncnn::Mat(32, 32, 40);
ncnn::Mat r4i = ncnn::Mat(16, 16, 64);
r1i.fill(0.0f);
r2i.fill(0.0f);
r3i.fill(0.0f);
r4i.fill(0.0f);
ncnn::Extractor ex = net.create_extractor();
const float mean_vals1[3] = {123.675f, 116.28f, 103.53f};
const float norm_vals1[3] = {0.01712475f, 0.0175f, 0.01742919f};
const float mean_vals2[3] = {0, 0, 0};
const float norm_vals2[3] = {1 / 255.0, 1 / 255.0, 1 / 255.0};
ncnn::Mat ncnn_in2 = ncnn::Mat::from_pixels_resize(bgr.data, ncnn::Mat::PIXEL_BGR2RGB, bgr.cols, bgr.rows, target_width, target_height);
ncnn::Mat ncnn_in1 = ncnn::Mat::from_pixels_resize(bgr.data, ncnn::Mat::PIXEL_BGR2RGB, bgr.cols, bgr.rows, target_width * downsample_ratio, target_height * downsample_ratio);
ncnn_in1.substract_mean_normalize(mean_vals1, norm_vals1);
ncnn_in2.substract_mean_normalize(mean_vals2, norm_vals2);
ex.input("src1", ncnn_in1);
ex.input("src2", ncnn_in2);
ex.input("r1i", r1i);
ex.input("r2i", r2i);
ex.input("r3i", r3i);
ex.input("r4i", r4i);
//if use video matting,these output will be input of next infer
ex.extract("r4o", r4i);
ex.extract("r3o", r3i);
ex.extract("r2o", r2i);
ex.extract("r1o", r1i);
ncnn::Mat pha_;
ex.extract("pha", pha_);
ncnn::Mat fgr_;
ex.extract("fgr", fgr_);
cv::Mat cv_pha = cv::Mat(pha_.h, pha_.w, CV_32FC1, (float*)pha_.data);
cv::Mat cv_fgr = cv::Mat(fgr_.h, fgr_.w, CV_32FC3);
float* fgr_data = (float*)fgr_.data;
for (int i = 0; i < fgr_.h; i++)
{
for (int j = 0; j < fgr_.w; j++)
{
cv_fgr.at<cv::Vec3f>(i, j)[2] = fgr_data[0 * fgr_.h * fgr_.w + i * fgr_.w + j];
cv_fgr.at<cv::Vec3f>(i, j)[1] = fgr_data[1 * fgr_.h * fgr_.w + i * fgr_.w + j];
cv_fgr.at<cv::Vec3f>(i, j)[0] = fgr_data[2 * fgr_.h * fgr_.w + i * fgr_.w + j];
}
}
cv_pha.copyTo(pha);
cv_fgr.copyTo(fgr);
return 0;
}
int main(int argc, char** argv)
{
if (argc != 2)
{
fprintf(stderr, "Usage: %s [imagepath]\n", argv[0]);
return -1;
}
const char* imagepath = argv[1];
cv::Mat m = cv::imread(imagepath, 1);
if (m.empty())
{
fprintf(stderr, "cv::imread %s failed\n", imagepath);
return -1;
}
cv::Mat fgr, pha;
detect_rvm(m, pha, fgr);
draw_objects(m, fgr, pha);
return 0;
}
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