mirror of
https://github.com/Laex/Delphi-OpenCV.git
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2dcca0b554
[*] Rename files of: - Calib3d.pas in calib3d_s.pas - Tracking.pas in tracking_s.pas To ensure conformity with the file names OpenCV library [!] Modules used in the project without the inclusion of relative paths. Added instructions on how to add the module search path (see readme_en.txt) [+] Added an example Posit (cvReleasePOSITObject, cvPOSIT and others) (thanks to Frans van Daalen (CLubfitter73)) Signed-off-by: Laex <laex@bk.ru>
210 lines
6.6 KiB
ObjectPascal
210 lines
6.6 KiB
ObjectPascal
(* /*****************************************************************
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// Delphi-OpenCV Demo
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// Copyright (C) 2013 Project Delphi-OpenCV
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// ****************************************************************
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// Contributor:
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// laentir Valetov
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// email:laex@bk.ru
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// ****************************************************************
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// You may retrieve the latest version of this file at the GitHub,
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// located at git://github.com/Laex/Delphi-OpenCV.git
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// ****************************************************************
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// The contents of this file are used with permission, subject to
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// the Mozilla Public License Version 1.1 (the "License"); you may
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// not use this file except in compliance with the License. You may
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// obtain a copy of the License at
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// http://www.mozilla.org/MPL/MPL-1_1Final.html
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//
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// Software distributed under the License is distributed on an
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// "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or
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// implied. See the License for the specific language governing
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// rights and limitations under the License.
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******************************************************************* *)
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// JCL_DEBUG_EXPERT_GENERATEJDBG OFF
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// JCL_DEBUG_EXPERT_INSERTJDBG OFF
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// JCL_DEBUG_EXPERT_DELETEMAPFILE OFF
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program FaceDetect;
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{$APPTYPE CONSOLE}
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{$R *.res}
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uses
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System.Character,
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System.SysUtils,
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highgui_c,
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core_c,
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Core.types_c,
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imgproc_c,
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imgproc.types_c,
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objdetect;
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var
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// Create memory for calculations
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storage: pCvMemStorage = nil;
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// Create a new Haar classifier
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cascade: pCvHaarClassifierCascade = nil;
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// Create a string that contains the cascade name
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cascade_name: AnsiString = 'FaceDetectXML\haarcascade_frontalface_alt.xml'; // "haarcascade_profileface.xml";
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// Function prototype for detecting and drawing an object from an image
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procedure detect_and_draw(image: pIplImage);
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var
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scale: Integer;
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temp: pIplImage;
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// two points to represent the face locations
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pt1, pt2: TCvPoint;
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i: Integer;
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faces: pCvSeq;
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r: pCvRect;
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begin
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scale := 1;
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// Create a new image based on the input image
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temp := cvCreateImage(cvSize(image^.width div scale, image^.height div scale), 8, 3);
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// Clear the memory storage which was used before
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cvClearMemStorage(storage);
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// Find whether the cascade is loaded, to find the faces. If yes, then:
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if Assigned(cascade) then
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begin
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// There can be more than one face in an image. So create a growable sequence of faces.
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// Detect the objects and store them in the sequence
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faces := cvHaarDetectObjects(image, cascade, storage, 1.1, 2, CV_HAAR_DO_CANNY_PRUNING, cvSize(40, 40),
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cvSize(0, 0));
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// Loop the number of faces found.
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for i := 1 to faces^.total do
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begin
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// Create a new rectangle for drawing the face
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r := pCvRect(cvGetSeqElem(faces, i));
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// Find the dimensions of the face,and scale it if necessary
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pt1.x := r^.x * scale;
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pt2.x := (r^.x + r^.width) * scale;
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pt1.y := r^.y * scale;
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pt2.y := (r^.y + r^.height) * scale;
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// Draw the rectangle in the input image
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cvRectangle(image, pt1, pt2, CV_RGB(255, 0, 0), 3, 8, 0);
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end;
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end;
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// Show the image in the window named "result"
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cvShowImage('result', image);
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// Release the temp image created.
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cvReleaseImage(temp);
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end;
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Var
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// Structure for getting video from camera or avi
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capture: pCvCapture = nil;
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// Images to capture the frame from video or camera or from file
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frame: pIplImage = nil;
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frame_copy: pIplImage = nil;
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// Input file name for avi or image file.
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input_name: AnsiString;
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const
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opt = '--cascade=';
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begin
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try
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// Check for the correct usage of the command line
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if (ParamCount > 1) and (Pos(opt, ParamStr(1)) <> 0) then
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begin
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cascade_name := Copy(ParamStr(1), Length(opt) + 1, Length(ParamStr(1)));
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input_name := ParamStr(2);
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end
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else
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begin
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Writeln('Usage: facedetect --cascade=<cascade_path> [filename|camera_index]');
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Halt(1);
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end;
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// Load the HaarClassifierCascade
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cascade := cvLoad(pCVChar(@cascade_name[1]), 0, 0, 0);
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// Check whether the cascade has loaded successfully. Else report and error and quit
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if not Assigned(cascade) then
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begin
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Writeln('ERROR: Could not load classifier cascade');
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Halt(1);
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end;
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// Allocate the memory storage
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storage := cvCreateMemStorage(0);
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// Find whether to detect the object from file or from camera.
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if isDigit(input_name, 1) and (Length(input_name) = 1) then
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capture := cvCreateCameraCapture(StrToInt(input_name))
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else
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capture := cvCreateFileCapture(pCVChar(@input_name[1]));
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// Create a new named window with title: result
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cvNamedWindow('result', 1);
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// Find if the capture is loaded successfully or not.
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// If loaded succesfully, then:
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if Assigned(capture) then
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begin
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// Capture from the camera.
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While true do
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begin
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// Capture the frame and load it in IplImage
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frame := cvQueryFrame(capture);
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if not Assigned(frame) then
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Break;
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// Allocate framecopy as the same size of the frame
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if not Assigned(frame_copy) then
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frame_copy := cvCreateImage(cvSize(frame^.width, frame^.height), IPL_DEPTH_8U, frame^.nChannels);
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// Check the origin of image. If top left, copy the image frame to frame_copy.
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if (frame^.origin = IPL_ORIGIN_TL) then
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cvCopyImage(frame, frame_copy, 0)
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// Else flip and copy the image
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else
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cvFlip(frame, frame_copy, 0);
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// Call the function to detect and draw the face
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detect_and_draw(frame_copy);
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// Wait for a while before proceeding to the next frame
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if (cvWaitKey(1) >= 0) then
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Break;
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end;
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// Release the images, and capture memory
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cvReleaseImage(frame_copy);
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cvReleaseCapture(capture);
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end
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else
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// If the capture is not loaded succesfully, then:
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begin // Assume the image to be lena.jpg, or the input_name specified
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input_name := 'resource\lena.jpg';
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// Load the image from that filename
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frame := cvLoadImage(pCVChar(@input_name[1]), 1);
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// If Image is loaded succesfully, then:
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if Assigned(frame) then
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begin
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// Detect and draw the face
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detect_and_draw(frame);
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//
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// Wait for user input
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cvWaitKey(0);
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// Release the image memory
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cvReleaseImage(frame);
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end;
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end;
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// Destroy the window previously created with filename: "result"
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cvDestroyWindow('result');
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except
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on E: Exception do
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Writeln(E.ClassName, ': ', E.Message);
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end;
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end.
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