testagain.py

import cv2
import pickle, os
image_x, image_y = 50, 50

def store_images():
	g_id="train6" 
	total_pics = 1000
	with open("histogram1", "rb") as f:
		hist = pickle.load(f)
	cam = cv2.VideoCapture(1)
	if cam.read()[0]==False:
		cam = cv2.VideoCapture(0)
	x, y, w, h = 300, 100, 300, 300
	if not os.path.exists("gestures/"+g_id):
		os.mkdir("gestures/"+g_id)
	pic_no = 0
	flag_start_capturing = False
	frames = 0
	
	while True:
		img = cam.read()[1]
		img = cv2.flip(img, 1)
		imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
		dst = cv2.calcBackProject([imgHSV], [0, 1], hist, [0, 180, 0, 256], 1)
		disc = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(10,10))
		cv2.filter2D(dst,-1,disc,dst)
		blur = cv2.GaussianBlur(dst, (11,11), 0)
		blur = cv2.medianBlur(blur, 15)
		thresh = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]
		thresh = cv2.merge((thresh,thresh,thresh))
		thresh = cv2.cvtColor(thresh, cv2.COLOR_BGR2GRAY)
		thresh = thresh[y:y+h, x:x+w]
		contours = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)[1]

		if len(contours) > 0:
			contour = max(contours, key = cv2.contourArea)
			if cv2.contourArea(contour) > 10000 and frames > 50:
				x1, y1, w1, h1 = cv2.boundingRect(contour)
				pic_no += 1
				save_img = thresh[y1:y1+h1, x1:x1+w1]
				if w1 > h1:
					save_img = cv2.copyMakeBorder(save_img, int((w1-h1)/2) , int((w1-h1)/2) , 0, 0, cv2.BORDER_CONSTANT, (0, 0, 0))
				elif h1 > w1:
					save_img = cv2.copyMakeBorder(save_img, 0, 0, int((h1-w1)/2) , int((h1-w1)/2) , cv2.BORDER_CONSTANT, (0, 0, 0))
				save_img = cv2.resize(save_img, (image_x, image_y))
				cv2.putText(img, "Capturing...", (30, 60), cv2.FONT_HERSHEY_TRIPLEX, 2, (127, 255, 255))
				cv2.imwrite("gestures/"+g_id+"/"+str(pic_no)+".jpg", save_img)

		cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 2)
		cv2.putText(img, str(pic_no), (30, 400), cv2.FONT_HERSHEY_TRIPLEX, 1.5, (127, 127, 255))
		cv2.imshow("Capturing gesture", img)
		cv2.imshow("thresh", thresh)
		inputkey = cv2.waitKey(1)
		if inputkey == 49:
			if flag_start_capturing == False:
				flag_start_capturing = True
			else:
				flag_start_capturing = False
				frames = 0
		if flag_start_capturing == True:
			frames += 1
		if pic_no == total_pics:
			cam.release()
			cv2.destroyAllWindows()
			break       
if not os.path.exists("gestures"):
		os.mkdir("gestures")
store_images()