Delphi-OpenCV/samples/MultiDemo/HandsDetect/HandsDetect.dpr
Laentir Valetov 7c9dcd8cdc Some examples
Signed-off-by: Laentir Valetov <laex@bk.ru>
2015-04-07 02:39:39 +03:00

362 lines
11 KiB
ObjectPascal

// *****************************************************************
// Delphi-OpenCV Demo
// Copyright (C) 2013 Project Delphi-OpenCV
// ****************************************************************
// Contributor:
// Mikhail Grigorev
// email: sleuthhound@gmail.com
// ****************************************************************
// You may retrieve the latest version of this file at the GitHub,
// located at git://github.com/Laex/Delphi-OpenCV.git
// ****************************************************************
// The contents of this file are used with permission, subject to
// the Mozilla Public License Version 1.1 (the "License"); you may
// not use this file except in compliance with the License. You may
// obtain a copy of the License at
// http://www.mozilla.org/MPL/MPL-1_1Final.html
//
// Software distributed under the License is distributed on an
// "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or
// implied. See the License for the specific language governing
// rights and limitations under the License.
// *******************************************************************
program HandsDetect;
{$APPTYPE CONSOLE}
{$POINTERMATH ON}
{$R *.res}
uses
System.SysUtils,
ocv.highgui_c,
ocv.core_c,
ocv.core.types_c,
ocv.imgproc_c,
ocv.imgproc.types_c;
const
NUM_FINGERS = 5;
NUM_DEFECTS = 8;
type
pCtx = ^TCtx;
TCtx = record
capture: pCvCapture; // Capture handle
image: pIplImage; // Input image
thr_image: pIplImage; // After filtering and thresholding
temp_image1: pIplImage; // Temporary image (1 channel)
temp_image3: pIplImage; // Temporary image (3 channels)
contour: pCvSeq; // Êîíòóð ðóêè
hull: pCvSeq; // Êàðêàñ êîíòóðà âûïóêëîñòè
hand_center: TCvPoint;
fingers: pCvPointArray; // Detected fingers positions
defects: pCvPointArray; // Convexity defects depth points
hull_st: pCvMemStorage;
contour_st: pCvMemStorage;
temp_st: pCvMemStorage;
defects_st: pCvMemStorage; // Õðàíèëèùå äëÿ ðåçóëüòàòà âû÷èñëåíèÿ ïîñëåäîâàòåëüíîñòè äåôåêòîâ
kernel: pIplConvKernel; // Kernel for morph operations
NUM_FINGERS: Integer;
hand_radius: Integer;
NUM_DEFECTS: Integer;
end;
var
key: Integer;
MyCtx: pCtx;
procedure InitCapture(const Ctx: pCtx);
var
width: Double;
height: Double;
begin
Ctx.capture := cvCreateCameraCapture(CV_CAP_ANY);
if not Assigned(Ctx.capture) then
begin
WriteLn('[i] Error initializing capture.');
Halt;
end;
// Óçíàåì øèðèíó è âûñîòó êàäðà
width := cvGetCaptureProperty(Ctx.capture, CV_CAP_PROP_FRAME_WIDTH);
height := cvGetCaptureProperty(Ctx.capture, CV_CAP_PROP_FRAME_HEIGHT);
// WriteLn(Format('[i] %.0f x %.0f', [width, height]));
Ctx.image := cvQueryFrame(Ctx.capture);
WriteLn('[i] Start capture.');
end;
procedure InitWindows;
begin
cvNamedWindow('output', CV_WINDOW_AUTOSIZE);
cvNamedWindow('thresholded', CV_WINDOW_AUTOSIZE);
cvMoveWindow('output', 50, 50);
cvMoveWindow('thresholded', 700, 50);
end;
procedure InitCtx(const Ctx: pCtx);
begin
// Ñîçäà¸ì îäíîêàíàëüíûå êàðòèíêè
Ctx.thr_image := cvCreateImage(cvGetSize(Ctx.image), IPL_DEPTH_8U, 1);
Ctx.temp_image1 := cvCreateImage(cvGetSize(Ctx.image), IPL_DEPTH_8U, 1);
// Ñîçäà¸ì 3-õ êàíàëüíóþ êàðòèíêó
Ctx.temp_image3 := cvCreateImage(cvGetSize(Ctx.image), IPL_DEPTH_8U, 3);
Ctx.kernel := cvCreateStructuringElementEx(9, 9, 4, 4, CV_SHAPE_RECT, nil);
// Ñîçäàåì õðàíèëèùà
Ctx.contour_st := cvCreateMemStorage(0);
Ctx.hull_st := cvCreateMemStorage(0);
Ctx.temp_st := cvCreateMemStorage(0);
Ctx.fingers := AllocMem((NUM_FINGERS + 1) * sizeof(TCvPoint));
Ctx.defects := AllocMem(NUM_DEFECTS * sizeof(TCvPoint));
end;
procedure FilterAndThreshold(const Ctx: pCtx);
begin
// Soften image
cvSmooth(Ctx.image, Ctx.temp_image3, CV_GAUSSIAN, 11, 11, 0, 0);
// Remove some impulsive noise
cvSmooth(Ctx.temp_image3, Ctx.temp_image3, CV_MEDIAN, 11, 11, 0, 0);
cvCvtColor(Ctx.temp_image3, Ctx.temp_image3, CV_BGR2HSV);
{ * Apply threshold on HSV values
* Threshold values should be customized according to environment
* }
cvInRangeS(Ctx.temp_image3, cvScalar(0, 0, 160, 0), cvScalar(255, 400, 300, 255), Ctx.thr_image);
// Apply morphological opening
cvMorphologyEx(Ctx.thr_image, Ctx.thr_image, nil, Ctx.kernel, CV_MOP_OPEN, 1);
cvSmooth(Ctx.thr_image, Ctx.thr_image, CV_GAUSSIAN, 3, 3, 0, 0);
end;
// Ïîèñê êîíòóðîâ
procedure FindContour(const Ctx: pCtx);
var
area, max_area: Double;
contours, tmp, contour: pCvSeq;
cont: pIplImage;
begin
area := 0.0;
max_area := 0.0;
contours := nil;
tmp := nil;
contour := nil;
// cvFindContours modifies input image, so make a copy
cvCopy(Ctx.thr_image, Ctx.temp_image1, nil);
// Íàõîäèì êîíòóðû
cvClearMemStorage(Ctx.temp_st);
cvFindContours(Ctx.temp_image1, Ctx.temp_st, @contours, sizeof(TCvContour), CV_RETR_EXTERNAL,
CV_CHAIN_APPROX_NONE { CV_CHAIN_APPROX_SIMPLE } , cvPoint(0, 0));
// Çàâåä¸ì êàðòèíêó äëÿ êîíòóðà
cont := cvCreateImage(cvGetSize(Ctx.temp_image1), IPL_DEPTH_8U, 3);
// Select contour having greatest area
tmp := contours;
while (tmp <> nil) do
begin
area := abs(cvContourArea(tmp, CV_WHOLE_SEQ, 0));
if area > max_area then
begin
// WriteLn(Format('[i] area = %.1f', [area]));
max_area := area;
contour := tmp;
end;
// Ðèñóåì êîíòóð
cvDrawContours(cont, tmp, CV_RGB(255, 216, 0), CV_RGB(0, 0, 250), 0, 1, 8, cvPoint(0, 0));
tmp := tmp.h_next;
end;
// Approximate contour with poly-line
if contour <> nil then
begin
contour := cvApproxPoly(contour, sizeof(TCvContour), Ctx.contour_st, CV_POLY_APPROX_DP, 2, 1);
Ctx.contour := contour;
end;
// Ïîêàæåì êîíòóð
cvDrawContours(cont, contour, CV_RGB(52, 201, 36), CV_RGB(36, 201, 197), 0, 2, 8, cvPoint(0, 0));
cvNamedWindow('ContT', CV_WINDOW_AUTOSIZE);
cvShowImage('ContT', cont);
end;
procedure FindConvexHull(const Ctx: pCtx);
var
defects: pCvSeq;
defect_array: pCvConvexityDefect;
i: Integer;
d, x, y: Integer;
dist: Double;
begin
x := 0;
y := 0;
dist := 0;
Ctx.hull := nil;
if not Assigned(Ctx.contour) then
Exit;
// Âû÷èñëÿåì êàðêàñ êîíòóðà âûïóêëîñòè
Ctx.hull := cvConvexHull2(Ctx.contour, Ctx.hull_st, CV_CLOCKWISE, 0);
if Assigned(Ctx.hull) then
begin
// Âû÷èñëÿåì ïîñëåäîâàòåëüíîñòü äåôåêòîâ
defects := cvConvexityDefects(Ctx.contour, Ctx.hull, Ctx.defects_st);
if Assigned(defects) and (defects.total <> 0) then
begin
defect_array := AllocMem(defects.total * sizeof(TCvConvexityDefect));
cvCvtSeqToArray(defects, defect_array, CV_WHOLE_SEQ);
// Average depth points to get hand center
// Âû÷èñëåíèå ãëóáèíû ñðåäíåé òî÷êè, ÷òîáû ïîëó÷èòü öåíòð ðóêè
i := 0;
while (i < defects.total) and (i < NUM_DEFECTS) do
begin
x := x + defect_array[i].depth_point.x;
y := y + defect_array[i].depth_point.y;
Ctx.defects[i] := cvPoint(defect_array[i].depth_point.x, defect_array[i].depth_point.y);
Inc(i);
// WriteLn(Format('[i] x = %d, y = %d', [Ctx.defects[i].x, Ctx.defects[i].y]));
// WriteLn(Format('[i] defects.total: %d', [defects.total]));
end;
x := x div defects.total;
y := y div defects.total;
Ctx.NUM_DEFECTS := defects.total;
Ctx.hand_center := cvPoint(x, y);
// WriteLn(Format('[i] defects.total: %d', [defects.total]));
// WriteLn(Format('[i] hand_center: x = %d, y = %d', [Ctx.hand_center.x, Ctx.hand_center.y]));
// Compute hand radius as mean of distances of defects' depth point to hand center
// Âû÷èñëÿåì ðàäèóñ ðóêè
for i := 0 to defects.total - 1 do
begin
d := (x - defect_array[i].depth_point.x) * (x - defect_array[i].depth_point.x) +
(y - defect_array[i].depth_point.y) * (y - defect_array[i].depth_point.y);
dist := dist + sqrt(d);
end;
Ctx.hand_radius := Trunc(dist) div defects.total;
// WriteLn(Format('[i] hand_radius: %d', [Ctx.hand_radius]));
FreeMem(defect_array);
end;
end;
end;
procedure FindFingers(const Ctx: pCtx);
var
n, i, cx, cy, dist, dist1, dist2: Integer;
// points: pCvPoint;
points: pCvPointArray;
max_point: TCvPoint;
finger_distance: array [0 .. NUM_FINGERS + 1] of Integer;
begin
dist1 := 0;
dist2 := 0;
Ctx.NUM_FINGERS := 0;
if (not Assigned(Ctx.contour)) or (not Assigned(Ctx.hull)) then
Exit;
n := Ctx.contour.total;
points := AllocMem(n * sizeof(TCvPoint));
cvCvtSeqToArray(Ctx.contour, points, CV_WHOLE_SEQ);
{ * Fingers are detected as points where the distance to the center
* is a local maximum
* }
for i := 0 to n - 1 do
begin
cx := Ctx.hand_center.x;
cy := Ctx.hand_center.y;
dist := (cx - points[i].x) * (cx - points[i].x) + (cy - points[i].y) * (cy - points[i].y);
if (dist < dist1) and (dist1 > dist2) and (max_point.x <> 0) and (max_point.y < cvGetSize(Ctx.image).height - 10)
then
begin
finger_distance[Ctx.NUM_FINGERS] := dist;
Inc(Ctx.NUM_FINGERS);
Ctx.fingers[Ctx.NUM_FINGERS] := max_point;
if Ctx.NUM_FINGERS >= NUM_FINGERS + 1 then
Break;
end;
dist2 := dist1;
dist1 := dist;
max_point := points[i];
end;
FreeMem(points);
end;
procedure Display(const Ctx: pCtx);
var
i: Integer;
begin
if Ctx.NUM_FINGERS = NUM_FINGERS then
begin
// ifdef SHOW_HAND_CONTOUR
// cvDrawContours(ctx.image, ctx.contour, CV_RGB(0,0,255), CV_RGB(0,255,0), 0, 1, CV_AA, cvPoint(0,0));
// #endif
cvCircle(Ctx.image, Ctx.hand_center, 5, CV_RGB(255, 0, 255), 1, CV_AA, 0);
cvCircle(Ctx.image, Ctx.hand_center, Ctx.hand_radius, CV_RGB(255, 0, 0), 1, CV_AA, 0);
for i := 0 to Ctx.NUM_FINGERS - 1 do
begin
cvCircle(Ctx.image, Ctx.fingers[i], 10, CV_RGB(0, 255, 0), 3, CV_AA, 0);
cvLine(Ctx.image, Ctx.hand_center, Ctx.fingers[i], CV_RGB(255, 255, 0), 1, CV_AA, 0);
end;
for i := 0 to Ctx.NUM_DEFECTS - 1 do
cvCircle(Ctx.image, Ctx.defects[i], 2, CV_RGB(200, 200, 200), 2, CV_AA, 0);
end;
cvShowImage('output', Ctx.image);
cvShowImage('thresholded', Ctx.thr_image);
end;
procedure ClearRes(const Ctx: pCtx);
begin
// Îñâîáîæäàåì ðåñóðñû
cvReleaseCapture(Ctx.capture);
// cvReleaseImage(Ctx.image);
cvReleaseImage(Ctx.thr_image);
cvReleaseImage(Ctx.temp_image1);
cvReleaseImage(Ctx.temp_image3);
cvReleaseMemStorage(Ctx.hull_st);
cvReleaseMemStorage(Ctx.contour_st);
cvReleaseMemStorage(Ctx.defects_st);
cvReleaseMemStorage(Ctx.temp_st);
cvReleaseStructuringElement(Ctx.kernel);
FreeMem(Ctx.fingers);
FreeMem(Ctx.defects);
cvDestroyAllWindows();
end;
begin
try
MyCtx := AllocMem(sizeof(TCtx));
InitCapture(MyCtx);
InitWindows;
InitCtx(MyCtx);
while true do
begin
MyCtx.image := cvQueryFrame(MyCtx.capture);
// Ôèëüòðóåì
FilterAndThreshold(MyCtx);
// Îïðåäåëåíèå êîíòóðîâ
FindContour(MyCtx);
FindConvexHull(MyCtx);
FindFingers(MyCtx);
Display(MyCtx);
key := cvWaitKey(33);
if (key = 27) then
Break;
end;
ClearRes(MyCtx);
FreeMem(MyCtx);
except
on E: Exception do
WriteLn(E.ClassName, ': ', E.Message);
end;
end.