opencv pillow读取 rgb planner 二进制数据 resize 重采样

#include <fstream>

#include <iostream>

#include <opencv2/opencv.hpp>

using namespace cv;

using namespace std;

int main(int argc, char **argv)

{

    const uint32_t cols = 640;

    const uint32_t rows = 426;

    ifstream fin0("000000000139.planner", ios::in | ios::binary);

    if(!fin0.is_open())

    {

        cout << "open fail!\n";

        return 1;

    }

    Mat img0_r = Mat::zeros(rows, cols, CV_8UC1);

    Mat img0_g = Mat::zeros(rows, cols, CV_8UC1);

    Mat img0_b = Mat::zeros(rows, cols, CV_8UC1);

    fin0.read(&img0_r.at< char >(0, 0), sizeof(char) * rows * cols);

    fin0.read(&img0_g.at< char >(0, 0), sizeof(char) * rows * cols);

    fin0.read(&img0_b.at< char >(0, 0), sizeof(char) * rows * cols);

    fin0.close();

    Mat channels[3] = { img0_b, img0_g, img0_r };

    Mat img0;

    merge(channels, 3, img0);

    Mat imgDst = Mat::zeros(224, 224, CV_8UC3);

    resize(img0, imgDst, imgDst.size(), 0, 0, INTER_LINEAR);

    imwrite("out2.jpg", imgDst);

    return 0;

}

 

 

================================================================================================

 

 

# -*- encoding=utf-8 -*-

from PIL import Image

import numpy as np

 

def resize():

    in_width = 640

    in_height = 426

    out_width = 224

    out_height = 224

    rgb_planner = np.fromfile("00351300139.planner",

                              dtype=np.uint8, count=in_width*in_height*3)

    rgb_planner = rgb_planner.reshape(3, in_height, in_width)

    rgb_888 = np.zeros((in_height, in_width, 3), dtype=np.uint8)

    for h in range(in_height):

        for w in range(in_width):

            rgb_888[h, w, 0] = rgb_planner[0, h, w]

            rgb_888[h, w, 1] = rgb_planner[1, h, w]

            rgb_888[h, w, 2] = rgb_planner[2, h, w]

    rgb_888.tofile("00351300139.img")

    pil_image = Image.fromarray(rgb_888)

    new_image = pil_image.resize((out_width, out_height), Image.BILINEAR)

    pil_image.save("in.jpg")

    new_image.save("out.jpg")

if __name__ == "__main__":

    resize()