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Create gestures
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create_gestures.py

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import cv2
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import numpy as np
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import pickle, os, sqlite3, random
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image_x, image_y = 50, 50
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def get_hand_hist():
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with open("hist", "rb") as f:
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hist = pickle.load(f)
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return hist
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def init_create_folder_database():
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# create the folder and database if not exist
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if not os.path.exists("gestures"):
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os.mkdir("gestures")
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if not os.path.exists("gesture_db.db"):
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conn = sqlite3.connect("gesture_db.db")
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create_table_cmd = "CREATE TABLE gesture ( g_id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE, g_name TEXT NOT NULL )"
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conn.execute(create_table_cmd)
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conn.commit()
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def create_folder(folder_name):
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if not os.path.exists(folder_name):
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os.mkdir(folder_name)
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def store_in_db(g_id, g_name):
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conn = sqlite3.connect("gesture_db.db")
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cmd = "INSERT INTO gesture (g_id, g_name) VALUES (%s, \'%s\')" % (g_id, g_name)
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try:
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conn.execute(cmd)
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except sqlite3.IntegrityError:
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choice = input("g_id already exists. Want to change the record? (y/n): ")
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if choice.lower() == 'y':
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cmd = "UPDATE gesture SET g_name = \'%s\' WHERE g_id = %s" % (g_name, g_id)
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conn.execute(cmd)
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else:
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print("Doing nothing...")
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return
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conn.commit()
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def store_images(g_id):
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total_pics = 1200
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hist = get_hand_hist()
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cam = cv2.VideoCapture(1)
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if cam.read()[0]==False:
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cam = cv2.VideoCapture(0)
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x, y, w, h = 300, 100, 300, 300
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create_folder("gestures/"+str(g_id))
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pic_no = 0
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flag_start_capturing = False
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frames = 0
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while True:
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img = cam.read()[1]
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img = cv2.flip(img, 1)
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imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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dst = cv2.calcBackProject([imgHSV], [0, 1], hist, [0, 180, 0, 256], 1)
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disc = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(10,10))
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cv2.filter2D(dst,-1,disc,dst)
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blur = cv2.GaussianBlur(dst, (11,11), 0)
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blur = cv2.medianBlur(blur, 15)
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thresh = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]
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thresh = cv2.merge((thresh,thresh,thresh))
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thresh = cv2.cvtColor(thresh, cv2.COLOR_BGR2GRAY)
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thresh = thresh[y:y+h, x:x+w]
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contours = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)[1]
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if len(contours) > 0:
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contour = max(contours, key = cv2.contourArea)
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if cv2.contourArea(contour) > 10000 and frames > 50:
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x1, y1, w1, h1 = cv2.boundingRect(contour)
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pic_no += 1
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save_img = thresh[y1:y1+h1, x1:x1+w1]
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if w1 > h1:
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save_img = cv2.copyMakeBorder(save_img, int((w1-h1)/2) , int((w1-h1)/2) , 0, 0, cv2.BORDER_CONSTANT, (0, 0, 0))
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elif h1 > w1:
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save_img = cv2.copyMakeBorder(save_img, 0, 0, int((h1-w1)/2) , int((h1-w1)/2) , cv2.BORDER_CONSTANT, (0, 0, 0))
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save_img = cv2.resize(save_img, (image_x, image_y))
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rand = random.randint(0, 10)
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if rand % 2 == 0:
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save_img = cv2.flip(save_img, 1)
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cv2.putText(img, "Capturing...", (30, 60), cv2.FONT_HERSHEY_TRIPLEX, 2, (127, 255, 255))
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cv2.imwrite("gestures/"+str(g_id)+"/"+str(pic_no)+".jpg", save_img)
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cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 2)
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cv2.putText(img, str(pic_no), (30, 400), cv2.FONT_HERSHEY_TRIPLEX, 1.5, (127, 127, 255))
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cv2.imshow("Capturing gesture", img)
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cv2.imshow("thresh", thresh)
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keypress = cv2.waitKey(1)
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if keypress == ord('c'):
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if flag_start_capturing == False:
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flag_start_capturing = True
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else:
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flag_start_capturing = False
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frames = 0
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if flag_start_capturing == True:
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frames += 1
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if pic_no == total_pics:
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break
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init_create_folder_database()
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g_id = input("Enter gesture no.: ")
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g_name = input("Enter gesture name/text: ")
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store_in_db(g_id, g_name)
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store_images(g_id)

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