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% Document Info
\author{meghalagarwal}
\pdfinfo{
  /Title (advancecomputervision.pdf)
  /Creator (Cheatography)
  /Author (meghalagarwal)
  /Subject (AdvanceComputerVision Cheat Sheet)
}

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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
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    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\columnbreak
\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{AdvanceComputerVision Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{meghalagarwal} via \textcolor{DarkBackground}{\uline{cheatography.com/148120/cs/32270/}}}
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\begin{multicols}{3}
\begin{tabulary}{5.8cm}{LL}
  \SetRowColor{FootBackground}
  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}meghalagarwal \\
  \uline{cheatography.com/meghalagarwal} \\
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 31st May, 2022.\\
   Page {\thepage} of \pageref{LastPage}.
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Sponsor}}  \\
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  \vspace{-5pt}
  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
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\begin{multicols*}{3}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Libraries}}  \tn
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\mymulticolumn{1}{x{5.377cm}}{OpenCV} \tn 
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\mymulticolumn{1}{x{5.377cm}}{Mediapipe} \tn 
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\hhline{>{\arrayrulecolor{DarkBackground}}-}
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\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{x{2.53827 cm} x{2.43873 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{2}{x{5.377cm}}{\bf\textcolor{white}{Creating 2 Python Files for each project}}  \tn
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\SetRowColor{LightBackground}
\seqsplit{HandTrackingModule.py} & FingerCounting.py \tn 
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\seqsplit{HandTrackingModule.py} & \seqsplit{AIVirtualPainting.py} \tn 
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\seqsplit{HandTrackingModule.py} & \seqsplit{HandVirtualMouse.py} \tn 
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\seqsplit{HandTrackingModule.py} & \seqsplit{HandVolumeControl.py} \tn 
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\hhline{>{\arrayrulecolor{DarkBackground}}--}
\SetRowColor{LightBackground}
\mymulticolumn{2}{x{5.377cm}}{For each project, it is important to create a separate python file that comprises Class and the functions associated with that respective project.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}--}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Defining Hand Class and it's Methods}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import cv2 \newline import mediapipe as mp \newline import time \newline import math \newline import numpy as np \newline  \newline class handDetector(): \newline     def \_\_init\_\_(self, mode=False, maxHands=2, detectionCon=0, trackCon=0): \newline         self.mode = mode \newline         self.maxHands = maxHands \newline         self.detectionCon = detectionCon \newline         self.trackCon = trackCon \newline   \newline         self.mpHands = mp.solutions.hands \newline         self.hands = \seqsplit{self.mpHands.Hands(self.mode}, self.maxHands, self.detectionCon, self.trackCon) \newline         self.mpDraw = \seqsplit{mp.solutions.drawing\_utils} \newline         self.tipIds = {[}4, 8, 12, 16, 20{]} \newline   \newline     def findHands(self, img, draw=True): \newline         imgRGB = cv2.cvtColor(img, cv2.COLOR\_BGR2RGB) \newline         self.results = \seqsplit{self.hands.process(imgRGB)} \newline         \# \seqsplit{print(results.multi\_hand\_landmarks)} \newline      \newline         if \seqsplit{self.results.multi\_hand\_landmarks:} \newline             for handLms in \seqsplit{self.results.multi\_hand\_landmarks:} \newline                 if draw: \newline                     \seqsplit{self.mpDraw.draw\_landmarks(img}, handLms, \seqsplit{self.mpHands.HAND\_CONNECTIONS)} \newline      \newline         return img \newline      \newline     def findPosition(self, img, handNo=0, draw=True): \newline         xList = {[}{]} \newline         yList = {[}{]} \newline         bbox = {[}{]} \newline         self.lmList = {[}{]} \newline         if \seqsplit{self.results.multi\_hand\_landmarks:} \newline             myHand = self.results.multi\_hand\_landmarks{[}handNo{]} \newline             for id, lm in \seqsplit{enumerate(myHand.landmark):} \newline                 \# print(id, lm) \newline                 h, w, c = img.shape \newline                 cx, cy = int(lm.x {\emph{ w), int(lm.y }} h) \newline                 xList.append(cx) \newline                 yList.append(cy) \newline                 \# print(id, cx, cy) \newline                 self.lmList.append({[}id, cx, cy{]}) \newline                 if draw: \newline                     cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED) \newline              \newline             xmin, xmax = min(xList), max(xList) \newline             ymin, ymax = min(yList), max(yList) \newline             bbox = xmin, ymin, xmax, ymax \newline          \newline             if draw: \newline                 cv2.rectangle(img, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20), (0, 255, 0), 2) \newline              \newline         return self.lmList, bbox \newline      \newline     def fingersUp(self): \newline         fingers = {[}{]} \newline          \newline         \# Thumb \newline         if self.lmList{[}self.tipIds{[}0{]}{]}{[}1{]} \textgreater{} self.lmList{[}self.tipIds{[}0{]} - 1{]}{[}1{]}: \newline             fingers.append(1) \newline         else: \newline             fingers.append(0) \newline      \newline         \# Fingers \newline         for id in range(1, 5): \newline             if self.lmList{[}self.tipIds{[}id{]}{]}{[}2{]} \textless{} self.lmList{[}self.tipIds{[}id{]} - 2{]}{[}2{]}: \newline                 fingers.append(1) \newline             else: \newline                 fingers.append(0) \newline      \newline             \# totalFingers = fingers.count(1) \newline      \newline         return fingers \newline      \newline     def findDistance(self, p1, p2, img, draw=True,r=15, t=3): \newline         x1, y1 = self.lmList{[}p1{]}{[}1:{]} \newline         x2, y2 = self.lmList{[}p2{]}{[}1:{]} \newline         cx, cy = (x1 + x2) // 2, (y1 + y2) // 2 \newline      \newline         if draw: \newline             cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), t) \newline             cv2.circle(img, (x1, y1), r, (255, 0, 255), cv2.FILLED) \newline             cv2.circle(img, (x2, y2), r, (255, 0, 255), cv2.FILLED) \newline             cv2.circle(img, (cx, cy), r, (0, 0, 255), cv2.FILLED) \newline             length = math.hypot(x2 - x1, y2 - y1) \newline      \newline         return length, img, {[}x1, y1, x2, y2, cx, cy{]}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{This Class represents the Hand and the methods represent the various actions associated with those hands and finger moments in order to capture the actions.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{HandVirtualPaint File}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import cv2 as cv \newline import numpy as np \newline import time \newline import os \newline import HandTrackingModule as htm \newline  \newline brushThickness = 25 \newline eraserThickness = 100 \newline  \newline folderPath = \seqsplit{"/home/meghal/Personal/Konverge\_AI/Training/Advance} Computer Visions/AI Virtual Painter/Header" \newline myList = os.listdir(folderPath) \newline myList.sort() \newline print(myList) \newline overlayList = {[}{]} \newline  \newline for imPath in myList: \newline     image = cv.imread(f"\{folderPath\}/\{imPath\}") \newline     \seqsplit{overlayList.append(image)} \newline  \newline \#overlayList.sort() \newline print(len(overlayList)) \newline header = overlayList{[}0{]} \newline drawColor = (255, 0, 255) \newline  \newline cap = cv.VideoCapture(0) \newline cap.set(3, 640) \newline cap.set(4, 480) \newline  \newline detector = \seqsplit{htm.handDetector(detectionCon=0},maxHands=1) \newline xp, yp = 0, 0 \newline vidCanvas = np.zeros((480, 640, 3), np.uint8) \newline  \newline while True: \newline  \newline     \# 1. Import image \newline     success, vid = cap.read() \newline     vid = cv.flip(vid, 1) \newline     \#print(vid.shape) \newline  \newline     \# 2. Find Hand Landmarks \newline     vid = detector.findHands(vid) \newline     lmList = \seqsplit{detector.findPosition(vid}, draw=False) \newline  \newline     if len(lmList) != 0: \newline         print(lmList) \newline         \# tip of index and middle fingers \newline         x1, y1 = lmList{[}8{]}{[}1:{]} \newline         x2, y2 = lmList{[}12{]}{[}1:{]} \newline  \newline         \# 3. Check which fingers are up \newline         fingers = detector.fingersUp() \newline         \# print(fingers) \newline  \newline         \# 4. If Selection Mode – Two finger are up \newline         if fingers{[}1{]} and fingers{[}2{]}: \newline             \# xp, yp = 0, 0 \newline             \#cv.rectangle(vid, (x1, y1-25), (x2, y2+25), (255, 0, 255), cv.FILLED) \newline             print("Selection Mode") \newline  \newline             \# Checking for the click \newline             if y1 \textless{} 100: \newline                 if 50 \textless{} x1 \textless{} 150: \newline                     header = overlayList{[}0{]} \newline                     drawColor = (255, 0, 255) \newline                 elif 150 \textless{} x1 \textless{} 200: \newline                     header = overlayList{[}1{]} \newline                     drawColor = (255, 0, 0) \newline                 elif 240 \textless{} x1 \textless{} 390: \newline                     header = overlayList{[}2{]} \newline                     drawColor = (0, 255, 0) \newline                 elif 490 \textless{} x1 \textless{} 640: \newline                     header = overlayList{[}3{]} \newline                     drawColor = (0, 0, 0) \newline                 cv.rectangle(vid, (x1, y1 - 25), (x2, y2 + 25), drawColor, cv.FILLED) \newline  \newline         \# 5. If Drawing Mode – Index finger is up \newline         if fingers{[}1{]} and fingers{[}2{]} == False: \newline             cv.circle(vid, (x1, y1), 15, drawColor, cv.FILLED) \newline             print("Drawing Mode") \newline  \newline             if xp == 0 and yp == 0: \newline                 xp, yp = x1, y1 \newline  \newline             \#cv.line(vid, (xp, yp), (x1, y1), drawColor, brushThickness) \newline  \newline             if drawColor == (0, 0, 0): \newline                 cv.line(vid, (xp, yp), (x1, y1), drawColor, eraserThickness) \newline                 cv.line(vidCanvas, (xp, yp), (x1, y1), drawColor, eraserThickness)             \newline             else: \newline                 cv.line(vid, (xp, yp), (x1, y1), drawColor, brushThickness) \newline                 cv.line(vidCanvas, (xp, yp), (x1, y1), drawColor, brushThickness) \newline  \newline             xp, yp = x1, y1 \newline  \newline             \# \# Clear Canvas when all fingers are up \newline             \# if all (x \textgreater{}= 1 for x in fingers): \newline             \# vidCanvas = np.zeros((720, 1280, 3), np.uint8) \newline  \newline     vidGray = cv.cvtColor(vidCanvas, cv.COLOR\_BGR2GRAY) \newline     \_, vidInv = cv.threshold(vidGray, 50, 255, cv.THRESH\_BINARY\_INV) \newline     vidInv = cv.cvtColor(vidInv,cv.COLOR\_GRAY2BGR) \newline     vid = cv.bitwise\_and(vid,vidInv) \newline     vid = cv.bitwise\_or(vid,vidCanvas) \newline  \newline     \# Setting the header image \newline     vid{[}0:100, 0:640{]} = header \newline     \#vid = cv.addWeighted(vid,0.5,vidCanvas,0.5,0) \newline     cv.imshow("Video", vid) \newline     \#cv.imshow("Video Canvas", vidCanvas) \newline     \#print(vidCanvas.shape) \newline     \# cv.imshow("Video Inv", vidInv) \newline     \# print(vidInv.shape) \newline     cv.waitKey(1)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{This Code represents the logic of how to detect hand moments i.e. Selection / Drawing.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{AI Virtual Mouse}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import cv2 \newline import numpy as np \newline import HandTrackingModule as htm \newline import time \newline import autopy \newline  \newline wCam, hCam = 640, 480 \newline frameR = 100 \# Frame Reduction \newline smoothening = 7 \newline  \newline pTime = 0 \newline plocX, plocY = 0, 0 \newline clocX, clocY = 0, 0 \newline  \newline cap = cv2.VideoCapture(0) \newline cap.set(3, wCam) \newline cap.set(4, hCam) \newline detector = \seqsplit{htm.handDetector(maxHands=1)} \newline wScr, hScr = autopy.screen.size() \newline \# print(wScr, hScr) \newline  \newline while True: \newline     \# 1. Find hand Landmarks \newline     success, img = cap.read() \newline     img = detector.findHands(img) \newline     lmList, bbox = \seqsplit{detector.findPosition(img)} \newline     \# 2. Get the tip of the index and middle fingers \newline     if len(lmList) != 0: \newline         x1, y1 = lmList{[}8{]}{[}1:{]} \newline         x2, y2 = lmList{[}12{]}{[}1:{]} \newline         \# print(x1, y1, x2, y2) \newline  \newline     \# 3. Check which fingers are up \newline     fingers = detector.fingersUp() \newline     \# print(fingers) \newline     cv2.rectangle(img, (frameR, frameR), (wCam - frameR, hCam - frameR), (255, 0, 255), 2) \newline  \newline     \# 4. Only Index Finger : Moving Mode \newline     if fingers{[}1{]} == 1 and fingers{[}2{]} == 0: \newline     \# 5. Convert Coordinates \newline         x3 = np.interp(x1, (frameR, wCam - frameR), (0, wScr)) \newline         y3 = np.interp(y1, (frameR, hCam - frameR), (0, hScr)) \newline         print(x3) \newline  \newline         \# 6. Smoothen Values \newline         clocX = plocX + (x3 - plocX) / smoothening \newline         clocY = plocY + (y3 - plocY) / smoothening \newline  \newline         \# 7. Move Mouse \newline         autopy.mouse.move(wScr - clocX, clocY) \newline         cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED) \newline         plocX, plocY = clocX, clocY \newline  \newline     \# 8. Both Index and middle fingers are up : Clicking Mode \newline     if fingers{[}1{]} == 1 and fingers{[}2{]} == 1: \newline     \# 9. Find distance between fingers \newline         length, img, lineInfo = detector.findDistance(8, 12, img) \newline         print(length) \newline  \newline         \# 10. Click mouse if distance short \newline         if length \textless{} 40: \newline             cv2.circle(img, (lineInfo{[}4{]}, lineInfo{[}5{]}), \newline             15, (0, 255, 0), cv2.FILLED) \newline             autopy.mouse.click() \newline  \newline     \# 11. Frame Rate \newline     cTime = time.time() \newline     fps = 1 / (cTime - pTime) \newline     pTime = cTime \newline     cv2.putText(img, str(int(fps)), (20, 50), cv2.FONT\_HERSHEY\_PLAIN, 3, (255, 0, 0), 3) \newline  \newline     \# 12. Display \newline     cv2.imshow("Image", img) \newline     cv2.waitKey(1)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{It is the same as Hand Virtual Painting Tool.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Virtual Volume Control}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import cv2 \newline import time \newline import numpy as np \newline import HandTrackingModule as htm \newline import math \newline from ctypes import cast, POINTER \newline from comtypes import CLSCTX\_ALL \newline from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume \newline  \newline \# Defining the Width and Height of the Video to be displayed \newline wCam, hCam = 640, 480 \newline  \newline cap = cv2.VideoCapture(0) \newline cap.set(3, wCam) \newline cap.set(4, hCam) \newline pTime = 0 \newline detector = \seqsplit{htm.handDetector(detectionCon=0.7)} \newline  \newline devices = \seqsplit{AudioUtilities.GetSpeakers()} \newline interface = \seqsplit{devices.Activate(IAudioEndpointVolume.\_iid\_}, CLSCTX\_ALL, None) \newline volume = cast(interface, \seqsplit{POINTER(IAudioEndpointVolume))} \newline  \newline \# volume.GetMute() \newline \# \seqsplit{volume.GetMasterVolumeLevel()} \newline  \newline volRange = volume.GetVolumeRange() \newline minVol = volRange{[}0{]} \newline maxVol = volRange{[}1{]} \newline vol = 0 \newline volBar = 400 \newline volPer = 0 \newline  \newline while True: \newline     success, img = cap.read() \newline     img = detector.findHands(img) \newline     lmList = \seqsplit{detector.findPosition(img}, draw=False) \newline  \newline     if len(lmList) != 0: \newline         \# print(lmList{[}4{]}, lmList{[}8{]}) \newline         x1, y1 = lmList{[}4{]}{[}1{]}, lmList{[}4{]}{[}2{]} \newline         x2, y2 = lmList{[}8{]}{[}1{]}, lmList{[}8{]}{[}2{]} \newline         cx, cy = (x1 + x2) // 2, (y1 + y2) // 2 \newline  \newline         cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED) \newline         cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED) \newline         cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3) \newline         cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED) \newline          \newline         length = math.hypot(x2 - x1, y2 - y1) \newline  \newline         \# Hand range 50 - 300 \newline         \# Volume Range -65 - 0 \newline         vol = np.interp(length, {[}50, 300{]}, {[}minVol, maxVol{]}) \newline         volBar = np.interp(length, {[}50, 300{]}, {[}400, 150{]}) \newline         volPer = np.interp(length, {[}50, 300{]}, {[}0, 100{]}) \newline         print(int(length), vol) \newline         \seqsplit{volume.SetMasterVolumeLevel(vol}, None) \newline  \newline         if length \textless{} 50: \newline             cv2.circle(img, (cx, cy), 15, (0, 255, 0), cv2.FILLED) \newline  \newline     cv2.rectangle(img, (50, 150), (85, 400), (255, 0, 0), 3) \newline     cv2.rectangle(img, (50, int(volBar)), (85, 400), (255, 0, 0), cv2.FILLED) \newline     cv2.putText(img, f'\{int(volPer)\} \%', (40, 450), \seqsplit{cv2.FONT\_HERSHEY\_COMPLEX}, 1, (255, 0, 0), 3) \newline  \newline     cTime = time.time() \newline     fps = 1 / (cTime - pTime) \newline     pTime = cTime \newline  \newline     cv2.putText(img, f'FPS: \{int(fps)\}', (40, 50), \seqsplit{cv2.FONT\_HERSHEY\_COMPLEX}, 1, (255, 0, 0), 3) \newline  \newline     cv2.imshow("Img", img) \newline     cv2.waitKey(1)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{It captures the tips and the moments of 2 finger's tips to control the volume.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


% That's all folks
\end{multicols*}

\end{document}