From 4ca59bc62b75b369baaed5e08c30a969bcd7c43a Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Thu, 23 Mar 2023 16:17:54 +0530 Subject: [PATCH 01/14] Adding code and readme for blob detection Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/Makefile | 8 ++ 4_cv_basics/7_blob_detection/blob | Bin 0 -> 129464 bytes 4_cv_basics/7_blob_detection/main.cpp | 144 ++++++++++++++++++++++++ 4_cv_basics/7_blob_detection/readme.md | 147 +++++++++++++++++++++++++ 4 files changed, 299 insertions(+) create mode 100644 4_cv_basics/7_blob_detection/Makefile create mode 100644 4_cv_basics/7_blob_detection/blob create mode 100644 4_cv_basics/7_blob_detection/main.cpp diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile new file mode 100644 index 0000000..2a84c6e --- /dev/null +++ b/4_cv_basics/7_blob_detection/Makefile @@ -0,0 +1,8 @@ + +blob_detection: main.cpp + @echo "Building.." + @g++ main.cpp -o blob -lopencv_core -lopencv_imgcodecs 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z7HNCQG?qKs1qHhsqHW!P$tPVx$L>WKH*=*lujYN)_1Nn_4C z^9hw|UqDP`nz6_g39>v>|DgSOVTu@zm$*OmEA7v5J=6Y=D3N5{E!b31xob8xwLqGJ`f zdrA|%GtGXuf@ig?05N>O}uFy=NB?x0{jNUAfyWNSEtc0P0+=#r3w5wvDTJ9 zdQq)3f$LoH)tn%n=(bI^)kdo&M?zz5O%vECPQuL z-_#Bb15KJChs_v$aqBpMRhq!5db(<$^pk(CKojTT|MR7(OP|Gm=<}rl*9VogKQG6Z zpTYlHf0xwP=T5sY{=UHZK8Npi{S#7OpRaJrKim0Ub?U!G>g#i-Q{JtABYyw!Gtabj z{0~WeeSS*nKUbda_(Q<|3I5mmC!_;??xM-zLl0Uzt$!&2@rm(2b*c65pvLgg=Oyx; zq1=Z4P0w5K|1;M3KXM8Gs?YoRYe~ni{pj znzFX{gw)sPUlD@gqy1}ro&UY~jq2~CLil`oI{RFZ^`!cjWW0sLjx-?@i>(&v-sCq>O47s*$BK7#Ld{fqWR;<$`bGXhpI>+I-|hdeo%&CHjqB@ka+1I6zluNl{k!)C@)~NbRC@9XelEzy=r(G +#include +using namespace std; +using namespace cv; + +double median(vector vec) +{ + int size = vec.size(); + if (size == 0) + { + return 0; // Handle empty vector case + } + sort(vec.begin(), vec.end()); + if (size % 2 == 0) + { + // Even number of elements, take average of middle 2 + return (vec[size / 2 - 1] + vec[size / 2]) / 2.0; + } + else + { + // Odd number of elements, take middle element + return vec[size / 2]; + } +} + +tuple getMedianPixelValues(Mat img) +{ + // Initialize vectors to store the pixel values of each color channel + vector blue_pixels; + vector green_pixels; + vector red_pixels; + + // Iterate over the rows and columns of the image + for (int i = 0; i < img.rows; i++) + { + for (int j = 0; j < img.cols; j++) + { + // Access the pixel value at (i, j) + Vec3b pixel = img.at(i, j); + + // Add the pixel values to the corresponding vectors + blue_pixels.push_back(pixel[0]); + green_pixels.push_back(pixel[1]); + red_pixels.push_back(pixel[2]); + } + } + + // Calculate the median of each color channel + double blue_median = median(blue_pixels); + double green_median = median(green_pixels); + double red_median = median(red_pixels); + + // Return the median values as a tuple + return make_tuple(blue_median, green_median, red_median); +} + +int main() +{ + VideoCapture video(0); + int h = 0, s = 0, v = 0; + while (video.isOpened()) + { + Mat frame; + video.read(frame); + imshow("Image", frame); + + if (waitKey(10) == 'q') + { + Rect bbox = selectROI("Image", frame, false, false); + Mat hsv; + cvtColor(frame, hsv, COLOR_BGR2HSV); + Mat obj_img = hsv(Rect(bbox.x, bbox.y, bbox.width, bbox.height)); + tuple medians = getMedianPixelValues(obj_img); + h = get<0>(medians); + s = get<1>(medians); + v = get<2>(medians); + break; + } + } + + while (video.isOpened()) + { + Mat frame; + video.read(frame); + + // Converting to hsv + Mat hsv; + cvtColor(frame, hsv, COLOR_BGR2HSV); + + + // Getting lower and upper bounds for h,s,v values + Scalar lower(h - 5, max(0, s - 50), max(0, v - 50)); + Scalar upper(h + 5, min(s + 50, 255), min(v + 50, 255)); + + // Masking + Mat masked; + inRange(hsv, lower, upper, masked); + + // Median Blur + Mat blur; + medianBlur(masked, blur, 5); + + // Performing bitwise_and using the 'blur' mask + Mat blob_mask; + bitwise_and(frame, frame, blob_mask, blur); + + imshow("blob_mask", blob_mask); + + // Find contours + vector> contours; + vector hierarchy; + findContours(blur, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE); + + + // Find largest contour + int idx = 0; + double current_max = 0; + int counter = 0; + + for (const auto &n : contours) + { + double area = contourArea(n); + if (area > current_max) + { + current_max = area; + idx = counter; + } + counter++; + } + + // Draw the largest contour detected + drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); + imshow("Output", frame); + + if (waitKey(10) == 'x') + { + destroyAllWindows(); + video.release(); + break; + } + } + + return 0; +} \ No newline at end of file diff --git a/4_cv_basics/7_blob_detection/readme.md b/4_cv_basics/7_blob_detection/readme.md index e69de29..a3effe9 100644 --- a/4_cv_basics/7_blob_detection/readme.md +++ b/4_cv_basics/7_blob_detection/readme.md @@ -0,0 +1,147 @@ +# Blob Detection + +BLOB stands for Binary Large Object + +Informally a blob is a region of an image in which some properties like intensity or color are approximately constant. + +## Understanding the code + +--- + +* The code below captures a video using the webcam and stores the video by the name 'frame' + +```cpp +int main() +{ + VideoCapture video(0); + int h = 0, s = 0, v = 0; + while (video.isOpened()) + { + Mat frame; + video.read(frame); + imshow("Image", frame); + +``` + +--- + +* Pressing 'q' would select the frame at that instance. +* `selectROI()` allows you to select that part of the captured frame in which the blob exists (and has to be detected later). +* Next, convert the frame to hsv. +* obj_img is hsv image of the size of the selected ROI. +
Why converting to HSV?
+ Since we are using the web cam the intensity and illumination of consecutive frame does not remain same. + Hence to find the color in range instead of particular color. HSV format is useful as H value denotes specific color and S, V can be used for illumination and intensity. + +* Next, we want the median values of each of hue, saturation and value, of the selected ROI. + +```cpp + while (1) + { + if (waitKey(10) == 'q') + { + Rect bbox = selectROI("Image", frame, false, false); + Mat hsv; + cvtColor(frame, hsv, COLOR_BGR2HSV); + Mat obj_img = hsv(Rect(bbox.x, bbox.y, bbox.width, bbox.height)); + tuple medians = getMedianPixelValues(obj_img); + h = get<0>(medians); + s = get<1>(medians); + v = get<2>(medians); + break; + } + } +``` + +--- + +* We keep capturing the video via webcam until the program is running. +* The captured video is coverted to hsv +* Using the median values of h,s,v obtained in the previous section, we calculate the upper and lower bounds of each (for masking done later). + +```cpp + while (video.isOpened()) + { + Mat frame; + video.read(frame); + + // Converting to hsv + Mat hsv; + cvtColor(frame, hsv, COLOR_BGR2HSV); + + // Getting lower and upper bounds for h,s,v values + Scalar lower(h - 5, max(0, s - 50), max(0, v - 50)); + Scalar upper(h + 5, min(s + 50, 255), min(v + 50, 255)); + +``` +* We make a mask using `inRange()` function with the lower and upper scalars obatined. +
+ What is a mask?
+ A mask is a binary image consisting of zero and non-zero values. If a mask is applied to another image of the same size, all pixels which are zero in the mask are set to zero in the output image. All others remain unchanged. +* We blur the mask to remove noises. +* Placing blurred mask over frame to find `bitwise_and()`. + +```cpp + // Masking + Mat masked; + inRange(hsv, lower, upper, masked); + + // Median Blur + Mat blur; + medianBlur(masked, blur, 5); + + // Performing bitwise_and using the 'blur' mask + Mat blob_mask; + bitwise_and(frame, frame, blob_mask, blur); + + imshow("blob_mask", blob_mask); +``` + +--- + +## Detecting the blob +* Find the contour from the generated mask using `findContours()` + + - What is a contour?
+ Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition + +* Find the contour having the maximum area using `contourArea()` +* Draw the largest contour on the frame using `drawContours()` + +```cpp + // Find contours + vector> contours; + vector hierarchy; + findContours(blur, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE); + + // Find largest contour + int idx = 0; + double current_max = 0; + int counter = 0; + + for (const auto &n : contours) + { + double area = contourArea(n); + if (area > current_max) + { + current_max = area; + idx = counter; + } + counter++; + } + + // Draw the largest contour detected + drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); + imshow("Output", frame); + + if (waitKey(10) == 'x') + { + destroyAllWindows(); + video.release(); + break; + } + } + + return 0; +} +``` From 7f2678b83431884eee0ca1e45cd0dab2fdce9005 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Thu, 23 Mar 2023 16:23:16 +0530 Subject: [PATCH 02/14] changes in makefile Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/Makefile | 1 - 1 file changed, 1 deletion(-) diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile index 2a84c6e..625efd0 100644 --- a/4_cv_basics/7_blob_detection/Makefile +++ b/4_cv_basics/7_blob_detection/Makefile @@ -1,4 +1,3 @@ - blob_detection: main.cpp @echo "Building.." @g++ main.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal From d2b2d3088c697165cd0f2309312a0681648a0be3 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Fri, 24 Mar 2023 18:11:59 +0530 Subject: [PATCH 03/14] Changes in code structure and readme Signed-off-by: Khushi-Balia --- .../7_blob_detection/7_blob_detection.cpp | 0 .../7_blob_detection/7_blob_detection.hpp | 0 4_cv_basics/7_blob_detection/Makefile | 2 +- .../7_blob_detection/{readme.md => README.md} | 5 + 4_cv_basics/7_blob_detection/blob | Bin 129464 -> 0 bytes .../include/7_blob_detection.hpp | 13 +++ 4_cv_basics/7_blob_detection/main.cpp | 64 ++---------- .../7_blob_detection/src/7_blob_detection.cpp | 93 ++++++++++++++++++ 8 files changed, 119 insertions(+), 58 deletions(-) delete mode 100644 4_cv_basics/7_blob_detection/7_blob_detection.cpp delete mode 100644 4_cv_basics/7_blob_detection/7_blob_detection.hpp rename 4_cv_basics/7_blob_detection/{readme.md => README.md} (97%) delete mode 100644 4_cv_basics/7_blob_detection/blob create mode 100644 4_cv_basics/7_blob_detection/include/7_blob_detection.hpp create mode 100644 4_cv_basics/7_blob_detection/src/7_blob_detection.cpp diff --git a/4_cv_basics/7_blob_detection/7_blob_detection.cpp b/4_cv_basics/7_blob_detection/7_blob_detection.cpp deleted file mode 100644 index e69de29..0000000 diff --git a/4_cv_basics/7_blob_detection/7_blob_detection.hpp b/4_cv_basics/7_blob_detection/7_blob_detection.hpp deleted file mode 100644 index e69de29..0000000 diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile index 625efd0..5ddeef8 100644 --- a/4_cv_basics/7_blob_detection/Makefile +++ b/4_cv_basics/7_blob_detection/Makefile @@ -1,6 +1,6 @@ blob_detection: main.cpp @echo "Building.." - @g++ main.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal + @g++ main.cpp src/blob_detection.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal clean: diff --git a/4_cv_basics/7_blob_detection/readme.md b/4_cv_basics/7_blob_detection/README.md similarity index 97% rename from 4_cv_basics/7_blob_detection/readme.md rename to 4_cv_basics/7_blob_detection/README.md index a3effe9..2f25828 100644 --- a/4_cv_basics/7_blob_detection/readme.md +++ b/4_cv_basics/7_blob_detection/README.md @@ -4,6 +4,11 @@ BLOB stands for Binary Large Object Informally a blob is a region of an image in which some properties like intensity or color are approximately constant. +## Table of Contents + +- [Understanding the code](#understanding-the-code) +- [Detecting the blob](#detecting-the-blob) + ## Understanding the code --- diff --git a/4_cv_basics/7_blob_detection/blob b/4_cv_basics/7_blob_detection/blob deleted file mode 100644 index f22de544079240cd9cf9bbbde2e561ac58db42c7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 129464 zcmeFa4O~@K_CI`hQ!*1WG$u{2W`$)2hK7w6zEIb)ViJp93=mK#1O_jLrA3jAgcOxF zOk)i-R@PWKlQmRk_>wS<6_ry=O+}4kmvkC3rO%VC;yL0)?@hk1C{ciCnXZLph&9RXZV-bNj@mNr^%$UZ$yB41G5^Bdmm}XSKUP}4e1sD_2FP+raS~NIau=2B9wPI1pYFs= z_NPMSPqLAI(%7FSdLW~ZNBp)dvs^ZpGm)ETDWp2+GwUC|f*(^~CYMWWm3mCvd9>se zs``G0a^#mo{cyKimvMb={ZPgIpip|-vd%0io;xA+%#wmLN{UM>tInuOn{dX2)UgZ8 z#*PyvkX=*<#nc6t%(l=iEyS@KMPDRvn&h8!#VvgAKM!0MHSehYvx;6j@1qfGW-1+2 zC*`3JmFF%N>0|MGB6EF#Ya&vn#veO9?cDwm5wS7JBSj|8a}ID4ekL<{E^rEdrs8Kh za~Z%3@Z-hL4E$V(pJz+*zwY>X_Rz(?gnzyC_j{L2{=`3E(%|fi8a{vN&1o5b*}L?F 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z7HNCQG?qKs1qHhsqHW!P$tPVx$L>WKH*=*lujYN)_1Nn_4C z^9hw|UqDP`nz6_g39>v>|DgSOVTu@zm$*OmEA7v5J=6Y=D3N5{E!b31xob8xwLqGJ`f zdrA|%GtGXuf@ig?05N>O}uFy=NB?x0{jNUAfyWNSEtc0P0+=#r3w5wvDTJ9 zdQq)3f$LoH)tn%n=(bI^)kdo&M?zz5O%vECPQuL z-_#Bb15KJChs_v$aqBpMRhq!5db(<$^pk(CKojTT|MR7(OP|Gm=<}rl*9VogKQG6Z zpTYlHf0xwP=T5sY{=UHZK8Npi{S#7OpRaJrKim0Ub?U!G>g#i-Q{JtABYyw!Gtabj z{0~WeeSS*nKUbda_(Q<|3I5mmC!_;??xM-zLl0Uzt$!&2@rm(2b*c65pvLgg=Oyx; zq1=Z4P0w5K|1;M3KXM8Gs?YoRYe~ni{pj znzFX{gw)sPUlD@gqy1}ro&UY~jq2~CLil`oI{RFZ^`!cjWW0sLjx-?@i>(&v-sCq>O47s*$BK7#Ld{fqWR;<$`bGXhpI>+I-|hdeo%&CHjqB@ka+1I6zluNl{k!)C@)~NbRC@9XelEzy=r(G + +using namespace std; +using namespace cv; + +double median(vector vec); + +tuple getMedianPixelValues(Mat img); + +#endif \ No newline at end of file diff --git a/4_cv_basics/7_blob_detection/main.cpp b/4_cv_basics/7_blob_detection/main.cpp index 417121c..1f45318 100644 --- a/4_cv_basics/7_blob_detection/main.cpp +++ b/4_cv_basics/7_blob_detection/main.cpp @@ -1,76 +1,26 @@ #include #include +#include "include/blob_detection.hpp" using namespace std; using namespace cv; -double median(vector vec) -{ - int size = vec.size(); - if (size == 0) - { - return 0; // Handle empty vector case - } - sort(vec.begin(), vec.end()); - if (size % 2 == 0) - { - // Even number of elements, take average of middle 2 - return (vec[size / 2 - 1] + vec[size / 2]) / 2.0; - } - else - { - // Odd number of elements, take middle element - return vec[size / 2]; - } -} - -tuple getMedianPixelValues(Mat img) -{ - // Initialize vectors to store the pixel values of each color channel - vector blue_pixels; - vector green_pixels; - vector red_pixels; - - // Iterate over the rows and columns of the image - for (int i = 0; i < img.rows; i++) - { - for (int j = 0; j < img.cols; j++) - { - // Access the pixel value at (i, j) - Vec3b pixel = img.at(i, j); - - // Add the pixel values to the corresponding vectors - blue_pixels.push_back(pixel[0]); - green_pixels.push_back(pixel[1]); - red_pixels.push_back(pixel[2]); - } - } - - // Calculate the median of each color channel - double blue_median = median(blue_pixels); - double green_median = median(green_pixels); - double red_median = median(red_pixels); - - // Return the median values as a tuple - return make_tuple(blue_median, green_median, red_median); -} - int main() { - VideoCapture video(0); + VideoCapture video(0); // Read input video int h = 0, s = 0, v = 0; while (video.isOpened()) { Mat frame; - video.read(frame); + video.read(frame); // Read one frame from the video imshow("Image", frame); - if (waitKey(10) == 'q') + if (waitKey(10) == 'q') //Wait for "q" key to be pressed { - Rect bbox = selectROI("Image", frame, false, false); + Rect bbox = selectROI("Image", frame, false, false); // Select a region of interest on the image Mat hsv; - cvtColor(frame, hsv, COLOR_BGR2HSV); + cvtColor(frame, hsv, COLOR_BGR2HSV); // Convert BGR color model to HSV Mat obj_img = hsv(Rect(bbox.x, bbox.y, bbox.width, bbox.height)); - tuple medians = getMedianPixelValues(obj_img); + tuple medians = getMedianPixelValues(obj_img); // Find the median of HSV in the selected region. h = get<0>(medians); s = get<1>(medians); v = get<2>(medians); diff --git a/4_cv_basics/7_blob_detection/src/7_blob_detection.cpp b/4_cv_basics/7_blob_detection/src/7_blob_detection.cpp new file mode 100644 index 0000000..d8ffc2d --- /dev/null +++ b/4_cv_basics/7_blob_detection/src/7_blob_detection.cpp @@ -0,0 +1,93 @@ +#include +#include + +/* + Specifying Namespaces + Namespace is a declarative region that provides a scope to the identifiers (the names of types, functions, variables, etc) inside it. +*/ + +using namespace std; +using namespace cv; + +/* + Function to find median of a set of pixels + + Purpose: + ----- + Takes a vector of pixels of one channel and outputs the median of the values. + + Input Args: + ----- + vector vec: A dynamic array with data type double. + + Returns: + ----- + Median value +*/ + +double median(vector vec) +{ + int size = vec.size(); + if (size == 0) + { + return 0; // Handle empty vector case + } + sort(vec.begin(), vec.end()); + if (size % 2 == 0) + { + // Even number of elements, take average of middle 2 + return (vec[size / 2 - 1] + vec[size / 2]) / 2.0; + } + else + { + // Odd number of elements, take middle element + return vec[size / 2]; + } +} + +/* + Function to find median of each channel + + Purpose: + ----- + Finds the median value of each channel in a given image + + Input Args: + ----- + Mat img: An n-dimensional numerical array that represents an image. + + Returns: + ----- + A tuple containing median values for each channel. +*/ + +tuple getMedianPixelValues(Mat img) +{ + // Initialize vectors to store the pixel values of each color channel + vector blue_pixels; + vector green_pixels; + vector red_pixels; + + // Iterate over the rows and columns of the image + for (int i = 0; i < img.rows; i++) + { + for (int j = 0; j < img.cols; j++) + { + // Access the pixel value at (i, j) + Vec3b pixel = img.at(i, j); + + // Add the pixel values to the corresponding vectors + blue_pixels.push_back(pixel[0]); + green_pixels.push_back(pixel[1]); + red_pixels.push_back(pixel[2]); + } + } + + // Calculate the median of each color channel + double blue_median = median(blue_pixels); + double green_median = median(green_pixels); + double red_median = median(red_pixels); + + // Return the median values as a tuple + return make_tuple(blue_median, green_median, red_median); +} \ No newline at end of file From 1609f66fc4323f48c3e1bf3069e104d39d469886 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Fri, 24 Mar 2023 18:14:49 +0530 Subject: [PATCH 04/14] Renamed files Signed-off-by: Khushi-Balia --- .../include/{7_blob_detection.hpp => blob_detection.hpp} | 0 .../src/{7_blob_detection.cpp => blob_detection.cpp} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename 4_cv_basics/7_blob_detection/include/{7_blob_detection.hpp => blob_detection.hpp} (100%) rename 4_cv_basics/7_blob_detection/src/{7_blob_detection.cpp => blob_detection.cpp} (100%) diff --git a/4_cv_basics/7_blob_detection/include/7_blob_detection.hpp b/4_cv_basics/7_blob_detection/include/blob_detection.hpp similarity index 100% rename from 4_cv_basics/7_blob_detection/include/7_blob_detection.hpp rename to 4_cv_basics/7_blob_detection/include/blob_detection.hpp diff --git a/4_cv_basics/7_blob_detection/src/7_blob_detection.cpp b/4_cv_basics/7_blob_detection/src/blob_detection.cpp similarity index 100% rename from 4_cv_basics/7_blob_detection/src/7_blob_detection.cpp rename to 4_cv_basics/7_blob_detection/src/blob_detection.cpp From a8499be8c0b3cfee7f0a192006b06cc92aa9ac26 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Sat, 25 Mar 2023 20:40:34 +0530 Subject: [PATCH 05/14] Updated readme Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/README.md | 76 +++++++++++++++--- 4_cv_basics/7_blob_detection/assets/blob.png | Bin 0 -> 382510 bytes .../7_blob_detection/assets/blurred_mask.png | Bin 0 -> 12386 bytes .../7_blob_detection/assets/colored_mask.png | Bin 0 -> 86471 bytes .../7_blob_detection/assets/hsv_blob.png | Bin 0 -> 29636 bytes .../assets/multiple_contours.png | Bin 0 -> 365680 bytes .../assets/not_blurredmask.png | Bin 0 -> 15260 bytes .../7_blob_detection/assets/roi_blob.png | Bin 0 -> 388578 bytes .../include/blob_detection.hpp | 2 +- 4_cv_basics/7_blob_detection/main.cpp | 2 +- .../7_blob_detection/src/blob_detection.cpp | 2 +- 11 files changed, 67 insertions(+), 15 deletions(-) create mode 100644 4_cv_basics/7_blob_detection/assets/blob.png create mode 100644 4_cv_basics/7_blob_detection/assets/blurred_mask.png create mode 100644 4_cv_basics/7_blob_detection/assets/colored_mask.png create mode 100644 4_cv_basics/7_blob_detection/assets/hsv_blob.png create mode 100644 4_cv_basics/7_blob_detection/assets/multiple_contours.png create mode 100644 4_cv_basics/7_blob_detection/assets/not_blurredmask.png create mode 100644 4_cv_basics/7_blob_detection/assets/roi_blob.png diff --git a/4_cv_basics/7_blob_detection/README.md b/4_cv_basics/7_blob_detection/README.md index 2f25828..aa1e8e9 100644 --- a/4_cv_basics/7_blob_detection/README.md +++ b/4_cv_basics/7_blob_detection/README.md @@ -6,8 +6,71 @@ Informally a blob is a region of an image in which some properties like intensit ## Table of Contents -- [Understanding the code](#understanding-the-code) +- [Preprocessing](#preprocessing) + - [Choosing the color of blob](#choosing-the-color-of-blob) + - [Converting to HSV and finding bounding values for mask](#converting-to-hsv-and-finding-bounding-values-for-mask) + - [Detecting the blob](#detecting-the-blob) + - [Constructing mask for detecting blob](#constructing-mask-for-detecting-blob) + - [Drawing the blob](#drawing-the-blob) + +- [Understanding the code](#understanding-the-code) + + +## Preprocessing + +## Choosing the color of blob +* Reading the frame using video.read() +* Select a region in a frame of your color choice using selectROI() + +![](./assets/roi_blob.png) + +## Converting to HSV and finding bounding values for mask +* Converting the frame to HSV format using cvtColor(... , ... , COLOR_BGR2HSV) + + * Why converting to HSV? + Since we are using the web cam the intensity and illumination of consecutive frame does not remain same. + Hence to find the color in range instead of particular color. HSV format is useful as H value denotes specific color and S, V can be used for illumination and intensity. + + ![](./assets/hsv_blob.png) + +* Extracting the select region from ROI +* Calculating the median H,S,V values from ROI +* Initializing the lower and upper bound for mask + +--- + +# Detecting the blob +## Constructing mask for detecting blob +* Read the frame from video +* Convert from BGR to HSV +* Make a mask using inRange() by passing lower and upper bounds calculated earlier + + * What is a mask? + A mask is a binary image consisting of zero and non-zero values. If a mask is applied to another image of the same size, all pixels which are zero in the mask are set to zero in the output image. All others remain unchanged. + + ![](./assets/not_blurredmask.png) + +* Blur the mask to remove the noise using medianBlur() + +![](./assets/blurred_mask.png) + +* Placing mask over frame to finded colored mask using bitwise_and() + +![](./assets/colored_mask.png) + + +## Drawing the blob +* Find the contour from the generated mask using cv2.findContours() + + * What is contour? + Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition + + ![](./assets/multiple_contours.png) + ![](./assets/blob.png) + +* Find the contour having the maximum area using contourArea() +* Draw the contour on the frame using drawContours() ## Understanding the code @@ -34,9 +97,6 @@ int main() * `selectROI()` allows you to select that part of the captured frame in which the blob exists (and has to be detected later). * Next, convert the frame to hsv. * obj_img is hsv image of the size of the selected ROI. -
Why converting to HSV?
- Since we are using the web cam the intensity and illumination of consecutive frame does not remain same. - Hence to find the color in range instead of particular color. HSV format is useful as H value denotes specific color and S, V can be used for illumination and intensity. * Next, we want the median values of each of hue, saturation and value, of the selected ROI. @@ -80,9 +140,6 @@ int main() ``` * We make a mask using `inRange()` function with the lower and upper scalars obatined. -
- What is a mask?
- A mask is a binary image consisting of zero and non-zero values. If a mask is applied to another image of the same size, all pixels which are zero in the mask are set to zero in the output image. All others remain unchanged. * We blur the mask to remove noises. * Placing blurred mask over frame to find `bitwise_and()`. @@ -104,12 +161,7 @@ int main() --- -## Detecting the blob * Find the contour from the generated mask using `findContours()` - - - What is a contour?
- Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition - * Find the contour having the maximum area using `contourArea()` * Draw the largest contour on the frame using `drawContours()` diff --git a/4_cv_basics/7_blob_detection/assets/blob.png b/4_cv_basics/7_blob_detection/assets/blob.png new file mode 100644 index 0000000000000000000000000000000000000000..b6674f32e7956245e600f3598a1ed587117bb18c GIT binary patch literal 382510 zcmeFXWmjCm)-Bw)yG!E`+%>oa2=4A4+}+(JL4&&lcZbGJ!thb#@!tjB zL+Y~@@;?M3TgCn>lX!m8^VD>)@$@lww+7fcyEs|1d04tzTRVH$xp-c{4Tu2%RDjPi zl3KobXMG`OP8;f!cR4w2b6xlSt60(~;^<@ixN0zAxJx>M^@@w%TjwP-+O*MPYwDQO z7Ux@0tJUIDYuZuEl=EBDNSWegzRRF!d}c$A{+f;`WjEuJu=^EuNZjqwTzoj-K48{_ zXGz?~=DcsNZ!S26@@K-ulf3H1R>169z-u1gbq;01)=hJF2~z$^^LNUQm+-&(aJ8y`{6(m z$1{;QR^ioWj+h&)?V$IIlpQ3<-<7L#$h))1Gfjb)=>UAlOTat)mhThE%be*eO#t*Z2$$6Mr=>Ori82XEB-gfNV#)_#zgi6x9jA zK>ng`BfUHh2yXWL^EC$vE0#&h`{hgss_E5t1Zn32F^YyaQPXhMXVG_9llL`9tjhx> zBpIuB@Ff(Fz{ReRhm5{E4<+-)xJiT2DXh@<1*h9}-m`_41y0d=I-2DBss1G2(wQ zLI~e)2d+N*UKKB=^jlh3?EV}Se_l8BT^M*AT6uYqdz*dQ-T2$x^JgnRJKHx-TI`nZ zp;cDx3E|}!>zz5!_M7+Hr{33?cku_?V4C$GVi<*yltTfgBP|)h6d|W%-dEo6;Hf#K zt%Q!?J>9*Khd(JG+mPQKyQ=R!g~@X-Cn0F24+Aeg4{=25J#TIo+5bA>zWhviy&H1< zlVe+;(32X#F+2IXPcZm89}Tat%qUDDu}qhN>sv7WnmNBP<00S)D_=QRljeBM;3d=LGv zukU6}M>v?N-V6dkr(#fvbiM!rvHQa3O)9|~Q8fv7h z=>ibIl^qiEU$Uyl+y`Bbz907e8~H^5j$8Piz|j$rjOL%*f7ANB4gCxE(Eq+Cur0XP z@*d$bw(=ULI(`v+3E+5tm>bP{xe||Rcu|U8;@CqPIF-9%h4Fr+61!v_yi*8VJ_HJa7D0HB#(fOvT^7 zLq=Roo^b}Q+aWT*qmKN-_ZE^Rfq#+pHS}l0Zp_w;P48{Xo5u@CHyE>jm+YOUfA=y8 zZR>Rt5=*hYs9-@N3ZDuD_68o&#KTSbpV$WWf+#CI zhyHO%4vYQAw&jBJ57@R&{WI=@VS1xaIT-Sn zUOWnEZqFhJiu$tF5lrz05;igFz95Ueyq)8u5J?%ktHs`W;U33&im8OJ4Dk8i6|MtD z{3coVKQihcxOTdgz!5mZv90+xe$(gOVB|IEKd(aU<}5+CFL)3re%rb;m4DTpu%}sX zUe^C?<-396i$?Nq?P41FFR%YaY5`(LmG`#+Sim%}BHGy&8}B2W%*_N= zBoqKh!~>(#WIYTpg+5^5nOnmE7)b$Uqd|bdOde;z+Jwg~99X!xAFiBVCCa zP=Q^2Om>_v+12=BVUkE15q-w}l8(9$uT=`zE<*Pos!QGG-tr`59#UUEW}|=|jFuN{ z8HOSp5|?0M@rJ?MP(2TkVoYSoE7oaX30E{4B*EMDrb|)e$eaBqAz*M#C!3^uv~!ay zBGL^1B4R{BtnW^4ta%ItkS$cWAu+GeYjfY~W8RX4uJGiE zH`z9*)qIS~KuQa&WBMO|1I9gsju19pzK{Fj;SlzZth7MN7F3Z2mA5;`9{vPXF@u3L z;guJ=&y*kK44F0>ypf#4*(1G-LAY>%X-I0C$iyR&&wZ9{n1%$ud>tZC!9eA`3mZh7 zuviIgpHs%MH2<3=vIvl`bDY;M;dL+##lV+3m@G^lvOQymeQCDk1^)M@H$r_g*IFwo z3-Ai2SHw0vPlNzTAyF*x5V{9a9dJ6_W4&W+PEvUx%lF-a+Gm377k>Alo;(syghSB2 zh)EmB{FuoW%2fnyyhZ|K6*7trU@gfWYticOhg<1C}Q{m ztzl7VHWMvuy2HFiizOaVyeO&{%$E||g;uZL2TM9&cy^B%K1YYkZqHmT0TeMCreXcl4WjdXVq%0xX5OWUtqtyB(ak(p_fMIU?AdCn+Py zRMaQk9g*GWTkB?OLD}FShZoin!}TG_owN`ZO}akRe!NcvLa~lY7@c2IDBEOu>p%PE z)SMN&uxxj)AZEn?V6+%O-tAdgLV^L5Tmjpk)qL{SVSOUpCRQsx=uNUPgzKG+_oPFJ zh%?J2_XXwyV%WRnZt&gfAqiJXBIR8iRP$b=qm~>vII$@G-z;U|#rbaf$6mgd3N_ZV zM8ea-(?{3r2&e#M5|M(DI_w&dhr6VIoB1WLdcm{+j%+piN5r~ZfQQM#gxMrwp5n_J zLG(9Xqf;LvvYV)G0Ot$Ax?!y0rxAR2IN~yvAm-}p8N5U}Dx1V%GH4a|G@~Hi%Wcjw z__u@-l~EDYF3&%ebTD#>^m(@%9EQND($y;)0)5t8DEK%@_vU)BYnLgdgc55iw?}|k z59j5B+*~j?AGD)n3R24`;c#1ENFuF^Ev2X=e!0v48<0a6=b6=z%F-tNvm zgzv74y`7x82A@gHtH+F>r@4kwz2vFs4F<{=mo?kGFN3vgQ}M_}GpM399oZ$QHeozE zNxFrh#h`9!k8iQav7sNYa|I+|iYnEddO#`CU;@|bdpK5jO(aDoX}5=(Q+}j1lZj?0 z5$!6@@5rmZj0QH*(b%=KO~=A?M_h!Pe9>;m6$o5mS(=HOOr|WPu}tYOfNj2k!pYhK zcQF!I39@<7v9H_Qq}0xC+25UFM0hN3?c^HFoAJQN zb8$mC^Hp#sRHp90vgSyUGcBo~Fx#%Kr~-R>0xF>ZY>O(gR`>{GOPT6}?t~E27p@=~ z<_%};3o7i|^oezgS?t{fxe|o*YomA~p1pteg+0%=#{gLxeW6B;5-`~Qq*{v{*fOTs z>&p~0z5;3qUQ6!e)PPutGgo)d3s-k!mB)gI0!0d9!b!=NR2Y_ISz4T7z6>51gJ6|q zs_D)cY)`bmskIRr$Xf(b!2QG{y5~Jz34m>!zGrj*WAv>_h0~@!l&noFuYsvBR${~# z{MFMZ8e#W3p0e8o zvzfWbsn@JbPYVe)M`@{aaVl^87d}oL-tk~J#E57O<*wiW<|DQ_j*l_NP2MWyvWW6D79VB`2ks-*`eC1a>1s8 z8qGSYd3XhpAe!dM6221~>X&yj2_GRn4};@Nl*$$RO~eip7w$ zrZcN7`cBYv#Tp@O!4>NVNo2!zOPEFuO-+mZHii3&lB9RMn`(JL`6@yYW`vn~OeZYt zjnR@yH2rOSjIt&aFOS@2u$k2^*3BFB)A@JVYC|MpOD{=F#6r3|frh4JkuiLHhx|ZL z9D*)*w6ijAfZfM3SsA7tP6nVE?}33yJ9CSRb~Kq>K^S9hXfY2oe`KWy*-$AZqfW*% z!q{iCB6lJT{UKcoZ_U0)Px!!Ge3q|+H2MXF0X7f@xpR3(HFpdHpinJ&MBPqDs$Q#_1iBu zx0yTeJ$b~s*>Jpk0tuPa&eT!a=k|)fO~9pUeDkE?ehxFvRTQhlwkQ2%pM>Ge+OWv^ zUzAf;1U0Xs8En5A)lfgL^(#u5bKyB%Ulil>@%s8O8aIinyO4}uJqJRxF)6VQLj#50 z0=}s^$e1_ZR%U}%EyWmN?;Td@Ex&K2-mUBco+JS|YM&M*HZ=r2rrrX}7rRC}8dT`m=>rT>4((4L%nSF z%Yb~O4E=LOa;(GwUlSrt*b=FO2|^MXo&G8sULtWlyu|z;OiUzmk~4f9tkT#&Cfu2! 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zt`O0l3EB*20ssIvo{+-+@3ANmP*jBE>epG}V$%9@kEC$ryaMYD)eO;$AW$iVOxgPe z8B)vcbq-M{ELMP#-SW*xBYWg+i81gh;+uuQL|GzdDx=#_f`)}RNVW9Pgt5fN} gwYn@=SL~5XEKNP3x?*M&4fRowRsB%;-Yn>U0N8Eyg8%>k literal 0 HcmV?d00001 diff --git a/4_cv_basics/7_blob_detection/include/blob_detection.hpp b/4_cv_basics/7_blob_detection/include/blob_detection.hpp index 5852f69..5cfe910 100644 --- a/4_cv_basics/7_blob_detection/include/blob_detection.hpp +++ b/4_cv_basics/7_blob_detection/include/blob_detection.hpp @@ -10,4 +10,4 @@ double median(vector vec); tuple getMedianPixelValues(Mat img); -#endif \ No newline at end of file +#endif diff --git a/4_cv_basics/7_blob_detection/main.cpp b/4_cv_basics/7_blob_detection/main.cpp index 1f45318..d4a436e 100644 --- a/4_cv_basics/7_blob_detection/main.cpp +++ b/4_cv_basics/7_blob_detection/main.cpp @@ -91,4 +91,4 @@ int main() } return 0; -} \ No newline at end of file +} diff --git a/4_cv_basics/7_blob_detection/src/blob_detection.cpp b/4_cv_basics/7_blob_detection/src/blob_detection.cpp index d8ffc2d..f2faead 100644 --- a/4_cv_basics/7_blob_detection/src/blob_detection.cpp +++ b/4_cv_basics/7_blob_detection/src/blob_detection.cpp @@ -90,4 +90,4 @@ tuple getMedianPixelValues(Mat img) // Return the median values as a tuple return make_tuple(blue_median, green_median, red_median); -} \ No newline at end of file +} From 30d8bdc187c4b28745df7046be4d22a683b30126 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Mon, 27 Mar 2023 19:40:06 +0530 Subject: [PATCH 06/14] Updated readme and file structure Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/README.md | 4 ++-- 4_cv_basics/7_blob_detection/{ => src}/main.cpp | 0 2 files changed, 2 insertions(+), 2 deletions(-) rename 4_cv_basics/7_blob_detection/{ => src}/main.cpp (100%) diff --git a/4_cv_basics/7_blob_detection/README.md b/4_cv_basics/7_blob_detection/README.md index aa1e8e9..e8e839a 100644 --- a/4_cv_basics/7_blob_detection/README.md +++ b/4_cv_basics/7_blob_detection/README.md @@ -55,13 +55,13 @@ Informally a blob is a region of an image in which some properties like intensit ![](./assets/blurred_mask.png) -* Placing mask over frame to finded colored mask using bitwise_and() +* Placing mask over frame to find colored mask using bitwise_and() ![](./assets/colored_mask.png) ## Drawing the blob -* Find the contour from the generated mask using cv2.findContours() +* Find the contour from the generated mask using findContours() * What is contour? Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition diff --git a/4_cv_basics/7_blob_detection/main.cpp b/4_cv_basics/7_blob_detection/src/main.cpp similarity index 100% rename from 4_cv_basics/7_blob_detection/main.cpp rename to 4_cv_basics/7_blob_detection/src/main.cpp From 64804d8fe08d281cdc65ce910503928c42905627 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Mon, 27 Mar 2023 21:36:57 +0530 Subject: [PATCH 07/14] Making windows resizable Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/Makefile | 4 ++-- .../7_blob_detection/src/blob_detection.cpp | 20 +++++++++---------- 4_cv_basics/7_blob_detection/src/main.cpp | 6 ++++-- 3 files changed, 16 insertions(+), 14 deletions(-) diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile index 5ddeef8..bb3af75 100644 --- a/4_cv_basics/7_blob_detection/Makefile +++ b/4_cv_basics/7_blob_detection/Makefile @@ -1,6 +1,6 @@ -blob_detection: main.cpp +blob_detection: src/main.cpp @echo "Building.." - @g++ main.cpp src/blob_detection.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal + @g++ src/main.cpp src/blob_detection.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal clean: diff --git a/4_cv_basics/7_blob_detection/src/blob_detection.cpp b/4_cv_basics/7_blob_detection/src/blob_detection.cpp index f2faead..5b2bbb7 100644 --- a/4_cv_basics/7_blob_detection/src/blob_detection.cpp +++ b/4_cv_basics/7_blob_detection/src/blob_detection.cpp @@ -64,9 +64,9 @@ double median(vector vec) tuple getMedianPixelValues(Mat img) { // Initialize vectors to store the pixel values of each color channel - vector blue_pixels; - vector green_pixels; - vector red_pixels; + vector hue_pixels; + vector saturation_pixels; + vector value_pixels; // Iterate over the rows and columns of the image for (int i = 0; i < img.rows; i++) @@ -77,17 +77,17 @@ tuple getMedianPixelValues(Mat img) Vec3b pixel = img.at(i, j); // Add the pixel values to the corresponding vectors - blue_pixels.push_back(pixel[0]); - green_pixels.push_back(pixel[1]); - red_pixels.push_back(pixel[2]); + hue_pixels.push_back(pixel[0]); + saturation_pixels.push_back(pixel[1]); + value_pixels.push_back(pixel[2]); } } // Calculate the median of each color channel - double blue_median = median(blue_pixels); - double green_median = median(green_pixels); - double red_median = median(red_pixels); + double hue_median = median(hue_pixels); + double saturation_median = median(saturation_pixels); + double value_median = median(value_pixels); // Return the median values as a tuple - return make_tuple(blue_median, green_median, red_median); + return make_tuple(hue_median, saturation_median, value_median); } diff --git a/4_cv_basics/7_blob_detection/src/main.cpp b/4_cv_basics/7_blob_detection/src/main.cpp index d4a436e..9b16f13 100644 --- a/4_cv_basics/7_blob_detection/src/main.cpp +++ b/4_cv_basics/7_blob_detection/src/main.cpp @@ -1,6 +1,6 @@ #include #include -#include "include/blob_detection.hpp" +#include "../include/blob_detection.hpp" using namespace std; using namespace cv; @@ -12,6 +12,7 @@ int main() { Mat frame; video.read(frame); // Read one frame from the video + namedWindow("Image", WINDOW_NORMAL); imshow("Image", frame); if (waitKey(10) == 'q') //Wait for "q" key to be pressed @@ -53,7 +54,7 @@ int main() // Performing bitwise_and using the 'blur' mask Mat blob_mask; bitwise_and(frame, frame, blob_mask, blur); - + namedWindow("blob_mask", WINDOW_NORMAL); imshow("blob_mask", blob_mask); // Find contours @@ -80,6 +81,7 @@ int main() // Draw the largest contour detected drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); + namedWindow("Output", WINDOW_NORMAL); imshow("Output", frame); if (waitKey(10) == 'x') From 80e228bd7337483dc0909ac7b529ebe3c69018ca Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Mon, 27 Mar 2023 23:22:39 +0530 Subject: [PATCH 08/14] Updated Makefile Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/Makefile | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile index bb3af75..18ea333 100644 --- a/4_cv_basics/7_blob_detection/Makefile +++ b/4_cv_basics/7_blob_detection/Makefile @@ -1,7 +1,17 @@ -blob_detection: src/main.cpp - @echo "Building.." - @g++ src/main.cpp src/blob_detection.cpp -o blob -lopencv_core -lopencv_imgcodecs -lopencv_highgui -lopencv_imgproc -lopencv_videoio -lsqlite3 -lgdal +# Specifying which compiler to use +CC = g++ +# Defining the name of the object that will be created after using make +PROJECT = blob_detection +# Linking the Two Files - > Function of convolution.cpp is accessed by main.cpp through header file +SRC = src/main.cpp src/blob_detection.cpp -clean: - rm blob_detection \ No newline at end of file +# Here Include specifies which directories can be added in the include path of the main.cpp +CFLAGS = -std=c++11 $(shell pkg-config --cflags opencv4) -Iinclude/ +# What libraries to be imported here it is opencv +LIBS = $(shell pkg-config --libs opencv4) + +# Similar to how we used to link and make object files in the terminal +$(PROJECT) : $(SRC) + $(CC) $(SRC) -o $(PROJECT) $(CFLAGS) $(LIBS) + \ No newline at end of file From 26ae95e767f7d7f4f6f005250be29e6ed7437489 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Tue, 28 Mar 2023 00:02:58 +0530 Subject: [PATCH 09/14] Changed window size Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/src/main.cpp | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/4_cv_basics/7_blob_detection/src/main.cpp b/4_cv_basics/7_blob_detection/src/main.cpp index 9b16f13..a0456e3 100644 --- a/4_cv_basics/7_blob_detection/src/main.cpp +++ b/4_cv_basics/7_blob_detection/src/main.cpp @@ -12,7 +12,7 @@ int main() { Mat frame; video.read(frame); // Read one frame from the video - namedWindow("Image", WINDOW_NORMAL); + resizeWindow("Image", 640, 480); imshow("Image", frame); if (waitKey(10) == 'q') //Wait for "q" key to be pressed @@ -54,7 +54,7 @@ int main() // Performing bitwise_and using the 'blur' mask Mat blob_mask; bitwise_and(frame, frame, blob_mask, blur); - namedWindow("blob_mask", WINDOW_NORMAL); + resizeWindow("blob_mask", 640, 480); imshow("blob_mask", blob_mask); // Find contours @@ -81,7 +81,7 @@ int main() // Draw the largest contour detected drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); - namedWindow("Output", WINDOW_NORMAL); + resizeWindow("Output", 640, 480); imshow("Output", frame); if (waitKey(10) == 'x') From 3da8953504d1bda70369eb443ae41e84328b30c5 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Tue, 28 Mar 2023 00:42:58 +0530 Subject: [PATCH 10/14] Updated readme and makefile Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/Makefile | 4 +++- 4_cv_basics/7_blob_detection/README.md | 16 +++++++++++++++- 2 files changed, 18 insertions(+), 2 deletions(-) diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/7_blob_detection/Makefile index 18ea333..8015585 100644 --- a/4_cv_basics/7_blob_detection/Makefile +++ b/4_cv_basics/7_blob_detection/Makefile @@ -14,4 +14,6 @@ LIBS = $(shell pkg-config --libs opencv4) # Similar to how we used to link and make object files in the terminal $(PROJECT) : $(SRC) $(CC) $(SRC) -o $(PROJECT) $(CFLAGS) $(LIBS) - \ No newline at end of file + +clean: + rm blob_detection diff --git a/4_cv_basics/7_blob_detection/README.md b/4_cv_basics/7_blob_detection/README.md index e8e839a..9b25010 100644 --- a/4_cv_basics/7_blob_detection/README.md +++ b/4_cv_basics/7_blob_detection/README.md @@ -13,7 +13,7 @@ Informally a blob is a region of an image in which some properties like intensit - [Detecting the blob](#detecting-the-blob) - [Constructing mask for detecting blob](#constructing-mask-for-detecting-blob) - [Drawing the blob](#drawing-the-blob) - +- [Usage](#usage) - [Understanding the code](#understanding-the-code) @@ -72,6 +72,20 @@ Informally a blob is a region of an image in which some properties like intensit * Find the contour having the maximum area using contourArea() * Draw the contour on the frame using drawContours() +## Usage + +--- + +1. Navigate to ../Pixels_Seminar/4_cv_basics/7_blob_detection +2. Open terminal in this folder +3. run ```make clean``` to clean out any previous builds +4. run ```make``` to build the executable +5. run ```./blob_detection``` +6. You should now have an imshow window "Image" capturing a video. Press ```q``` to capture the desired frame. +7. Using the cursor, select your region of interest (ROI), which is a rectangular box +8. Press ```space``` or ```enter``` and you will see the "blob_mask" and "Output" windows. +9. Press ```x``` to exit + ## Understanding the code --- From c1699f57f0bf1b33eaa3ffd22113334c0a76ef95 Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Tue, 28 Mar 2023 11:33:09 +0530 Subject: [PATCH 11/14] Resized window Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/src/main.cpp | 3 +++ 1 file changed, 3 insertions(+) diff --git a/4_cv_basics/7_blob_detection/src/main.cpp b/4_cv_basics/7_blob_detection/src/main.cpp index a0456e3..41fea77 100644 --- a/4_cv_basics/7_blob_detection/src/main.cpp +++ b/4_cv_basics/7_blob_detection/src/main.cpp @@ -13,6 +13,7 @@ int main() Mat frame; video.read(frame); // Read one frame from the video resizeWindow("Image", 640, 480); + namedWindow("Image", WINDOW_NORMAL); imshow("Image", frame); if (waitKey(10) == 'q') //Wait for "q" key to be pressed @@ -55,6 +56,7 @@ int main() Mat blob_mask; bitwise_and(frame, frame, blob_mask, blur); resizeWindow("blob_mask", 640, 480); + namedWindow("blob_mask", WINDOW_NORMAL); imshow("blob_mask", blob_mask); // Find contours @@ -82,6 +84,7 @@ int main() // Draw the largest contour detected drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); resizeWindow("Output", 640, 480); + namedWindow("Output", WINDOW_NORMAL); imshow("Output", frame); if (waitKey(10) == 'x') From 0c4ca5ff7eb262909d51916e76af6e7c07b5a77c Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Tue, 28 Mar 2023 11:45:42 +0530 Subject: [PATCH 12/14] minor change Signed-off-by: Khushi-Balia --- 4_cv_basics/7_blob_detection/src/main.cpp | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/4_cv_basics/7_blob_detection/src/main.cpp b/4_cv_basics/7_blob_detection/src/main.cpp index 41fea77..e3d42d0 100644 --- a/4_cv_basics/7_blob_detection/src/main.cpp +++ b/4_cv_basics/7_blob_detection/src/main.cpp @@ -12,8 +12,8 @@ int main() { Mat frame; video.read(frame); // Read one frame from the video - resizeWindow("Image", 640, 480); namedWindow("Image", WINDOW_NORMAL); + resizeWindow("Image", 640, 480); imshow("Image", frame); if (waitKey(10) == 'q') //Wait for "q" key to be pressed @@ -55,8 +55,8 @@ int main() // Performing bitwise_and using the 'blur' mask Mat blob_mask; bitwise_and(frame, frame, blob_mask, blur); - resizeWindow("blob_mask", 640, 480); namedWindow("blob_mask", WINDOW_NORMAL); + resizeWindow("blob_mask", 640, 480); imshow("blob_mask", blob_mask); // Find contours @@ -83,8 +83,8 @@ int main() // Draw the largest contour detected drawContours(frame, contours, idx, Scalar(0, 255, 255), 2); - resizeWindow("Output", 640, 480); namedWindow("Output", WINDOW_NORMAL); + resizeWindow("Output", 640, 480); imshow("Output", frame); if (waitKey(10) == 'x') From 6c27c27ba79d0c4a2c5359bc61b81d05a9776c1f Mon Sep 17 00:00:00 2001 From: Khushi-Balia Date: Tue, 28 Mar 2023 19:46:17 +0530 Subject: [PATCH 13/14] Renaming the files Signed-off-by: Khushi-Balia --- .../{7_blob_detection => 8_blob_detection}/Makefile | 0 .../README.md | 0 .../assets/blob.png | Bin .../assets/blurred_mask.png | Bin .../assets/colored_mask.png | Bin .../assets/hsv_blob.png | Bin .../assets/multiple_contours.png | Bin .../assets/not_blurredmask.png | Bin .../assets/roi_blob.png | Bin .../include/blob_detection.hpp | 0 .../src/blob_detection.cpp | 0 .../src/main.cpp | 0 12 files changed, 0 insertions(+), 0 deletions(-) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/Makefile (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/README.md (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/blob.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/blurred_mask.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/colored_mask.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/hsv_blob.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/multiple_contours.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/not_blurredmask.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/assets/roi_blob.png (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/include/blob_detection.hpp (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/src/blob_detection.cpp (100%) rename 4_cv_basics/{7_blob_detection => 8_blob_detection}/src/main.cpp (100%) diff --git a/4_cv_basics/7_blob_detection/Makefile b/4_cv_basics/8_blob_detection/Makefile similarity index 100% rename from 4_cv_basics/7_blob_detection/Makefile rename to 4_cv_basics/8_blob_detection/Makefile diff --git a/4_cv_basics/7_blob_detection/README.md b/4_cv_basics/8_blob_detection/README.md similarity index 100% rename from 4_cv_basics/7_blob_detection/README.md rename to 4_cv_basics/8_blob_detection/README.md diff --git a/4_cv_basics/7_blob_detection/assets/blob.png b/4_cv_basics/8_blob_detection/assets/blob.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/blob.png rename to 4_cv_basics/8_blob_detection/assets/blob.png diff --git a/4_cv_basics/7_blob_detection/assets/blurred_mask.png b/4_cv_basics/8_blob_detection/assets/blurred_mask.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/blurred_mask.png rename to 4_cv_basics/8_blob_detection/assets/blurred_mask.png diff --git a/4_cv_basics/7_blob_detection/assets/colored_mask.png b/4_cv_basics/8_blob_detection/assets/colored_mask.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/colored_mask.png rename to 4_cv_basics/8_blob_detection/assets/colored_mask.png diff --git a/4_cv_basics/7_blob_detection/assets/hsv_blob.png b/4_cv_basics/8_blob_detection/assets/hsv_blob.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/hsv_blob.png rename to 4_cv_basics/8_blob_detection/assets/hsv_blob.png diff --git a/4_cv_basics/7_blob_detection/assets/multiple_contours.png b/4_cv_basics/8_blob_detection/assets/multiple_contours.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/multiple_contours.png rename to 4_cv_basics/8_blob_detection/assets/multiple_contours.png diff --git a/4_cv_basics/7_blob_detection/assets/not_blurredmask.png b/4_cv_basics/8_blob_detection/assets/not_blurredmask.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/not_blurredmask.png rename to 4_cv_basics/8_blob_detection/assets/not_blurredmask.png diff --git a/4_cv_basics/7_blob_detection/assets/roi_blob.png b/4_cv_basics/8_blob_detection/assets/roi_blob.png similarity index 100% rename from 4_cv_basics/7_blob_detection/assets/roi_blob.png rename to 4_cv_basics/8_blob_detection/assets/roi_blob.png diff --git a/4_cv_basics/7_blob_detection/include/blob_detection.hpp b/4_cv_basics/8_blob_detection/include/blob_detection.hpp similarity index 100% rename from 4_cv_basics/7_blob_detection/include/blob_detection.hpp rename to 4_cv_basics/8_blob_detection/include/blob_detection.hpp diff --git a/4_cv_basics/7_blob_detection/src/blob_detection.cpp b/4_cv_basics/8_blob_detection/src/blob_detection.cpp similarity index 100% rename from 4_cv_basics/7_blob_detection/src/blob_detection.cpp rename to 4_cv_basics/8_blob_detection/src/blob_detection.cpp diff --git a/4_cv_basics/7_blob_detection/src/main.cpp b/4_cv_basics/8_blob_detection/src/main.cpp similarity index 100% rename from 4_cv_basics/7_blob_detection/src/main.cpp rename to 4_cv_basics/8_blob_detection/src/main.cpp From 2725ee7ec9142e3015c29aac3e94e44f705cee7d Mon Sep 17 00:00:00 2001 From: Aman Chhaparia <64468582+amanchhaparia@users.noreply.github.com> Date: Tue, 28 Mar 2023 22:19:18 +0530 Subject: [PATCH 14/14] corrected folder numbering in readme --- 4_cv_basics/8_blob_detection/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/4_cv_basics/8_blob_detection/README.md b/4_cv_basics/8_blob_detection/README.md index 9b25010..97d5ace 100644 --- a/4_cv_basics/8_blob_detection/README.md +++ b/4_cv_basics/8_blob_detection/README.md @@ -76,7 +76,7 @@ Informally a blob is a region of an image in which some properties like intensit --- -1. Navigate to ../Pixels_Seminar/4_cv_basics/7_blob_detection +1. Navigate to ../Pixels_Seminar/4_cv_basics/8_blob_detection 2. Open terminal in this folder 3. run ```make clean``` to clean out any previous builds 4. run ```make``` to build the executable