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78 lines
3.0 KiB
78 lines
3.0 KiB
/*
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* Programming introduction with the SOD Embedded Image Processing API.
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* Copyright (C) PixLab | Symisc Systems, https://sod.pixlab.io
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*/
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/*
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* Compile this file together with the SOD embedded source code to generate
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* the executable. For example:
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*
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* gcc sod.c hough_lines_detection.c -lm -Ofast -march=native -Wall -std=c99 -o sod_img_proc
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*
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* Under Microsoft Visual Studio (>= 2015), just drop `sod.c` and its accompanying
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* header files on your source tree and you're done. If you have any trouble
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* integrating SOD in your project, please submit a support request at:
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* https://sod.pixlab.io/support.html
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*/
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/*
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* This simple program is a quick introduction on how to embed and start
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* experimenting with SOD without having to do a lot of tedious
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* reading and configuration.
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*
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* Make sure you have the latest release of SOD from:
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* https://pixlab.io/downloads
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* The SOD Embedded C/C++ documentation is available at:
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* https://sod.pixlab.io/api.html
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*/
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#include <stdio.h>
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#include "sod.h"
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/*
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* Perform hough line detection (Generally named Hough Transform) on an input image.
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*/
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int main(int argc, char *argv[])
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{
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/* Input image (pass a path or use the test image shipped with the samples ZIP archive) */
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const char *zInput = argc > 1 ? argv[1] : "./test.png";
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/* Processed output image path */
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const char *zOut = argc > 2 ? argv[2] : "./out_lines.png";
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/* Load the input image in the grayscale colorspace */
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sod_img imgIn = sod_img_load_grayscale(zInput);
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if (imgIn.data == 0) {
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/* Invalid path, unsupported format, memory failure, etc. */
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puts("Cannot load input image..exiting");
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return 0;
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}
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/* A full color copy of the input image so we can draw later rose lines on it.
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*/
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sod_img imgCopy = sod_img_load_color(zInput);
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/*
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* Perform Canny edge detection first which is a mandatory step */
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sod_img cannyImg = sod_canny_edge_image(imgIn, 0);
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/*
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* Each detected line is represented by an instance of the `sod_pts`
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* structure returned as an array by the Hough interface where
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* each entry of this array (i and i + 1) hold the starting and
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* ending position (x_start, y_start, x_end, y_end) for each line.
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*/
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sod_pts * aLines;
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int i, nPts, nLines;
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/* Perform hough line detection on the canny edged image
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* Depending on the analyzed image/frame, you should experiment
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* with different thresholds for best results.
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*/
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aLines = sod_hough_lines_detect(cannyImg, 0 /* default threshold which may not good for all images */, &nPts);
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/* Report */
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nLines = nPts / 2;
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printf("%d line(s) were detected\n", nLines);
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/* Draw a rose line for each entry on the full color image copy */
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for (i = 0; i < nLines; i += 2) {
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sod_image_draw_line(imgCopy, aLines[i], aLines[i + 1], 255, 0, 255);
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}
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/* Finally save the output image to the specified path */
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sod_img_save_as_png(imgCopy, zOut);
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/* Cleanup */
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sod_hough_lines_release(aLines);
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sod_free_image(imgIn);
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sod_free_image(cannyImg);
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sod_free_image(imgCopy);
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return 0;
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} |