Track fist + left click
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.pylintrc
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.pylintrc
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# A comma-separated list of package or module names from where C extensions may
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# be loaded. Extensions are loading into the active Python interpreter and may
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# run arbitrary code.
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extension-pkg-whitelist=cv2
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README.md
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README.md
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# ZPPR
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# ZPPR
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The applcation allows its users to control their mouse cursor using their hands BUT without a physical mouse.
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Haar cascades aren't an effect of my work. Their owner is GitHub user [trane293](https://github.com/trane293).
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[Here](https://github.com/trane293/Palm-Fist-Gesture-Recognition/)'s the link to his project I used.
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To run the project you have to install the following python3 libraries:
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- opencv-python
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- numpy
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- mouse
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You can do it using `pip3`
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e.g. `pip3 install opencv-python`
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To run the application simply run
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`python3 main.py`
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from the app directory.
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Tutorials and other materials used during development:
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- https://techtutorialsx.com/2019/04/13/python-opencv-getting-video-from-camera/
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- https://techtutorialsx.com/2019/04/13/python-opencv-getting-video-from-camera/
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- https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html
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- https://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html
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- https://www.youtube.com/watch?v=W7Bs3uuMUSQ&t=6s
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- https://www.youtube.com/watch?v=88HdqNDQsEk
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main.py
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main.py
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import cv2
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import numpy
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import pynput.mouse
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def openCamera(input):
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cv2.imshow("frame", input)
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key = cv2.waitKey(1)
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return key
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def drawBox(finder, frame, b, g, r):
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for x, y, w, h in finder:
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cv2.rectangle(frame, (x, y), (x + w, y + h) ,(b, g, r), 2)
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def exit(video):
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video.release()
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cv2.destroyAllWindows()
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mouse = pynput.mouse.Controller()
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video = cv2.VideoCapture(0)
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frame = video.read()
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findFistInit = None
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centerX = 0
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centerY = 0
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while True:
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cascadeHand = cv2.CascadeClassifier("hand.xml")
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cascadeFist = cv2.CascadeClassifier("fist.xml")
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frame = video.read()[1]
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fmask = cv2.GaussianBlur(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY), (21,21), 0)
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cv2.imshow("fmask", fmask)
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findFist = cascadeFist.detectMultiScale(fmask, scaleFactor = 1.1, minNeighbors = 75)
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if findFistInit is None:
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findFistInit = findFist
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if findFist == ():
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findHand = cascadeHand.detectMultiScale(fmask, scaleFactor = 1.1, minNeighbors = 10)
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if findHand != ():
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mouse.click(pynput.mouse.Button.left, 1)
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if findFist != () and findFistInit != ():
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dx, dy, dw, dh = findFist[0][0] - findFistInit[0][0], findFist[0][1] - findFistInit[0][1], findFist[0][2] - findFistInit[0][2], findFist[0][3] - findFistInit[0][3]
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centerX = (dx + dx + dw) / 2
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centerY = (dy + dy + dh) / 2
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mouse.move( -1 * 7 * dx, 7 * dy)
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findFistInit = findFist
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drawBox(findFist, frame, 0, 0, 255)
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drawBox(findHand, frame, 0, 255, 0)
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frame = cv2.flip(frame, 1)
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key = openCamera(frame)
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if(key == ord('q')):
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break
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exit(video)
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