Remove old scanner programs

AScannerDarkly/.gitignore

@@ -1,5 +0,0 @@
-cmake_install.cmake
-CMakeCache.txt
-CMakeFiles/*
-Makefile
-AScannerDarkly

AScannerDarkly/CMakeLists.txt

@@ -1,7 +0,0 @@
-cmake_minimum_required(VERSION 3.2)
-project( AScannerDarkly )
-find_package( OpenCV REQUIRED )
-include_directories( ${OpenCV_INCLUDE_DIRS} )
-add_executable( AScannerDarkly main.cpp )
-target_link_libraries( AScannerDarkly ${OpenCV_LIBS} )
-target_link_libraries( AScannerDarkly -llept -ltesseract )

AScannerDarkly/main.cpp

@@ -1,161 +0,0 @@
-#include <opencv2/opencv.hpp>
-#include <tesseract/baseapi.h>
-#include <leptonica/allheaders.h>
-#include <string>
-
-const std::string SCANNER_WINDOW_NAME = "A Scanner Darkly";
-const std::string CARD_WINDOW_NAME = "Detected Card";
-
-const std::string CANNY_LOWER_THRESHOLD_TRACKBAR_NAME = "Canny: Lower Threshold";
-
-const float CARD_ASPECT_RATIO = 88.0f / 63.0f;
-const std::string ASPECT_RATIO_TOLERANCE_TRACKBAR_NAME = "Aspect Ratio Tolerance";
-int g_aspect_ratio_tolerance = 1;
-const int MAX_ASPECT_RATIO_TOLERANCE = 100;
-
-int g_Canny_lower_threshold = 195;
-const int CANNY_UPPER_THRESHOLD = 255;
-
-cv::Mat cropImageToRoi(cv::Mat img, cv::Rect roi) {
-	return img(roi);
-}
-
-cv::Mat detectCardInFrame(cv::Mat frame) {
-	cv::Mat grayscaleFrame, blurFrame, cannyFrame, cardFrame;
-
-	// Perform edge detection
-	cv::cvtColor(frame, grayscaleFrame, cv::COLOR_BGR2GRAY);
-	cv::GaussianBlur(grayscaleFrame, blurFrame, cv::Size(5, 5), 2, 2);
-	cv::Canny(blurFrame, cannyFrame, g_Canny_lower_threshold, CANNY_UPPER_THRESHOLD);
-
-	// Perform contour detection
-	std::vector<std::vector<cv::Point>> contours;
-	std::vector<cv::Vec4i> hierarchy;
-	cv::findContours(cannyFrame, contours, hierarchy, cv::RETR_TREE, cv::CHAIN_APPROX_SIMPLE);
-
-	// Detect convex hulls
-	std::vector<std::vector<cv::Point>> hull(contours.size());
-	for(size_t i = 0; i < contours.size(); i++) {
-		cv::convexHull(contours[i], hull[i]);
-	}
-
-	// Detect RotatedRects
-	std::vector<cv::RotatedRect> minRect(contours.size());
-	for(size_t i = 0; i < contours.size(); i++) {
-		minRect[i] = cv::minAreaRect(contours[i]);
-	}
-
-	// Draw lines around RotatedRects
-	/*
-	cv::Scalar rectangleColor(255, 0, 0, 0);
-	cv::Point2f rect_points[4];
-	minRect[i].points(rect_points);
-	for (int j = 0; j < 4; j++) {
-		cv::line(frame, rect_points[j], rect_points[(j + 1) % 4], rectangleColor);
-	}
-	*/
-
-	// Find possible cards
-	std::vector<cv::RotatedRect> possibleCards(contours.size());
-	int possibleCount = 0;
-	for (size_t i = 0; i < minRect.size(); i++) {
-		float aspectRatio = minRect[i].size.height / minRect[i].size.width;
-		float aspectRatioTolerance = g_aspect_ratio_tolerance / 100.0f;
-		if (aspectRatio < (CARD_ASPECT_RATIO - aspectRatioTolerance) || aspectRatio > (CARD_ASPECT_RATIO + aspectRatioTolerance)) {
-			continue;
-		}
-
-		cv::putText(frame, std::to_string(minRect[i].angle), minRect[i].center, cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255, 0, 0, 0));
-
-		possibleCards[possibleCount] = minRect[i];
-		possibleCount++;
-	}
-
-	if (possibleCount == 1) {
-		return cropImageToRoi(frame, possibleCards[0].boundingRect());
-	} else if (possibleCount > 1) {
-		// If we have more than one possible match, take the largest one
-		int largestCardIndex = 0;
-		int largestCardSize = 0;
-
-		for (size_t i = 0; i < possibleCards.size(); i++) {
-			float size = possibleCards[i].size.width * possibleCards[i].size.height;
-			if (size >= largestCardSize) {
-				largestCardIndex = i;
-				largestCardSize = size;
-			}
-		}
-
-		// Some basic error checking to ensure the RotatedRect is roughly card-sized
-		if (largestCardSize >= 14400 && largestCardSize <= 200000) {
-			return cropImageToRoi(frame, possibleCards[largestCardIndex].boundingRect());
-		}
-	}
-
-	return cv::Mat();
-}
-
-const char* readTextFromImage(cv::InputArray img) {
-	const char* tempFilename = "temp.bmp";
-
-	// Initialize Tesseract api
-	tesseract::TessBaseAPI* tess = new tesseract::TessBaseAPI();
-	tess->Init(NULL, "eng");
-	tess->SetPageSegMode(tesseract::PSM_SPARSE_TEXT);
-
-	// Load image into Tesseract
-	cv::imwrite(tempFilename, img);
-	Pix* pixd = pixRead(tempFilename);
-	tess->SetImage(pixd);
-	tess->Recognize(0);
-
-	// Perform OCR
-	const char* out = tess->GetUTF8Text();
-
-	// Cleanup
-	pixDestroy(&pixd);
-	std::remove(tempFilename);
-
-	return out;
-}
-
-int main(int argc, char** argv ) {
-	cv::VideoCapture cap;
-	cap.open(0);
-
-	if (!cap.isOpened()) {
-		std::cerr << "Couldn't open capture" << std::endl;
-		return -1;
-	}
-
-	cv::namedWindow(SCANNER_WINDOW_NAME);
-
-	cv::createTrackbar(CANNY_LOWER_THRESHOLD_TRACKBAR_NAME, SCANNER_WINDOW_NAME, &g_Canny_lower_threshold, CANNY_UPPER_THRESHOLD, NULL);
-	cv::createTrackbar(ASPECT_RATIO_TOLERANCE_TRACKBAR_NAME, SCANNER_WINDOW_NAME, &g_aspect_ratio_tolerance, MAX_ASPECT_RATIO_TOLERANCE, NULL);
-
-	cv::Mat frame, cardFrame;
-	while (true) {
-		cap >> frame;
-		//cardFrame = detectCardInFrame(frame);
-		cv::imshow(SCANNER_WINDOW_NAME, frame);
-
-		/*
-		if (cardFrame.size().width > 0) {
-			printf("Card detected\n");
-			while (true) {
-				cv::imshow(CARD_WINDOW_NAME, cardFrame);
-				char c = (char)cv::waitKey(33);
-				if (c == 27) {
-					cv::destroyWindow(CARD_WINDOW_NAME);
-					break;
-				}
-			}
-		}
-		*/
-
-		char c = (char)cv::waitKey(33);
-		if (c == 27) {
-			break;
-		}
-	}
-}

a_scanner_dorkly/main.py

@@ -1,24 +0,0 @@
-#!/usr/bin/python3 
-
-import cv2
-import numpy as np
-
-mouse_raw = (0, 0)
-
-def clickEvent(event, x, y, flags, params):
-    global mouse_raw
-
-    if event == cv2.EVENT_LBUTTONDOWN:
-        mouse_raw = (x, y)
-        print(mouse_raw)
-
-cap = cv2.VideoCapture(0)
-cv2.namedWindow("image")
-cv2.setMouseCallback("image", clickEvent)
-
-while True:
-    success, img = cap.read()
-    cv2.imshow("image", img)
-    cv2.waitKey(0)
-
-cv2.destroyAllWindows()