def find_transportation_arrow(self):
run = 1
# moves to north east area of mini map
Mouse.randMove(680 - 20, 65 - 20, 680 + 20, 65 + 20, 1)
time.sleep(5)
while run:
mini_map = Screenshot.shoot(571, 29, 718, 180, 'hsv')
low = np.array([10, 101, 147])
high = np.array([13, 255, 211])
# applies mask
mask = cv2.inRange(mini_map, low, high)
# removes any noise
kernel = np.ones((5, 5), np.uint8)
dilation = cv2.dilate(mask, kernel, iterations=1)
_, contours, _ = cv2.findContours(dilation.copy(),
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
(x, y, w, h) = cv2.boundingRect(c)
x += 568
y += 36
x2 = x + w
y2 = y + h
Mouse.randMove(x, y, x2, y2, 1)
run = 0
time.sleep(1)
print('running again')
def find_transportation_arrow(self):
run = 1
# moves to north east area of mini map
Mouse.randMove(680-20,65-20,680+20,65+20,1)
time.sleep(5)
while run:
mini_map = Screenshot.shoot(571,29,718,180,'hsv')
low = np.array([10,101,147])
high = np.array([13,255,211])
# applies mask
mask = cv2.inRange(mini_map, low, high)
# removes any noise
kernel = np.ones((5,5), np.uint8)
dilation = cv2.dilate(mask, kernel, iterations = 1)
_, contours, _ = cv2.findContours(dilation.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
(x, y, w, h) = cv2.boundingRect(c)
x += 568
y += 36
x2 = x + w
y2 = y + h
Mouse.randMove(x,y,x2,y2,1)
run = 0
time.sleep(1)
print('running again')
def findCageOptionInBubbles(self):
"""Pass args from findFishBubbles meth. Finding cage option in fishing guild"""
if self.findCageOption():
Mouse.randMove(0,0,700,500, 1)
return True
else:
return
def findFishBubbles(self,click_n,func,*args):
"""Pass a function to do after it finds the fish bubbles"""
# water bubbles
#low = np.array([103,81,0])
#high = np.array([111,255,255])
play_screen = Screenshot.shoot(6,59,510,355,'hsv')
low = np.array([220,50,100])
high = np.array([255,255,255])
mask = cv2.inRange(play_screen, low, high)
#cv2.imshow('img', mask)
#cv2.waitKey(0)
kernel = np.ones((5,5), np.uint8)
dilation = cv2.dilate(mask, kernel, iterations = 1)
#cv2.imshow('dilation', dilation)
#cv2.waitKey(0)
_, contours, _ = cv2.findContours(dilation.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in random.choice(contours):
(x, y, w, h) = cv2.boundingRect(c)
x += 6
y += 59
x2 = x + w
y2 = y + h
Mouse.randMove(x,y,x2,y2,click_n)
# pass args to fucntion doing the actions
# fucn should return true if needs to continue loking at other bubbles
if func():
continue
else:
return
def doInMatched(self, *args, **kwargs):
print("Found template")
#unpacks args from Match.images
img_pat,x,y,pt, w, h = args
# combines pattern image w/ template coords
x = pt[0]+x
y = pt[1]+y
# dimensions of pattern image
img_pat_w, img_pat_h = img_pat.shape[::-1]
# moves and clicks on the random passed coords
Mouse.randMove(x,y,x+img_pat_w-10, y, 1)
def findFishingIcon(self):
#fish color
low = np.array([93,119,84])
high = np.array([121,255,255])
mask, mm_x, mm_y = self.mini_map_mask(low, high)
_, contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
(x, y, w, h) = cv2.boundingRect(c)
x += mm_x
y += mm_y
x2 = x + w
y2 = y + h
Mouse.randMove(x,y,x2,y2,1)
run= 0
time.sleep(1)
return 0
return 1
def findBankIcon(self):
# bank colo
low = np.array([26,160,176])
high = np.array([27,244,228])
mask, mm_x, mm_y = self.mini_map_mask(low, high)
cv2.imshow('mask', mask)
cv2.waitKey(0)
_, contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
(x, y, w, h) = cv2.boundingRect(c)
x += 568
y += 36
x2 = x + w
y2 = y + h
Mouse.randMove(x,y,x2,y2,1)
run= 0
time.sleep(1)
return
def find_fairy_ring(self):
run = 1
while run:
play_screen = Screenshot.shoot(6, 59, 510, 355, 'hsv')
# finding white on fairy ring inner circle
low = np.array([107, 92, 93])
high = np.array([113, 255, 129])
mask = cv2.inRange(play_screen, low, high)
kernel = np.ones((10, 10), np.uint8)
dilation = cv2.dilate(mask, kernel, iterations=1)
#closing = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
#_,contours,_ = cv2,findContours(closing.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
_, contours, _ = cv2.findContours(dilation, cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
for con in contours:
print("Area: {}".format(cv2.contourArea(con)))
if cv2.contourArea(con) > 1.0:
(x, y, w, h) = cv2.boundingRect(con)
x += self.rs_x
y += self.rs_y
x1 = x
y1 = y
x2 = x + w
y2 = y + h
print("x1:{} y1:{} x2:{} y2:{}".format(x1, y1, x2, y2))
#print(cv2.contourArea(con))
#M = cv2.moments(con)
# finds centroid
#x,y = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))
Mouse.randMove(x1, y1, x2, y2, 3)
time.sleep(5)
if RS.findOptionClick(x1, y1, 'cis'):
run = 0
time.sleep(2)
break
def find_fairy_ring(self):
run = 1
while run:
play_screen = Screenshot.shoot(6,59,510,355,'hsv')
# finding white on fairy ring inner circle
low = np.array([107,92,93])
high = np.array([113,255,129])
mask = cv2.inRange(play_screen, low, high)
kernel = np.ones((10,10), np.uint8)
dilation = cv2.dilate(mask, kernel, iterations = 1)
#closing = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
#_,contours,_ = cv2,findContours(closing.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
_,contours,_ = cv2.findContours(dilation, cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
for con in contours:
print("Area: {}".format(cv2.contourArea(con)))
if cv2.contourArea(con) > 1.0:
(x, y, w, h) = cv2.boundingRect(con)
x += self.rs_x
y += self.rs_y
x1 = x
y1 = y
x2 = x + w
y2 = y + h
print("x1:{} y1:{} x2:{} y2:{}".format(x1,y1,x2,y2))
#print(cv2.contourArea(con))
#M = cv2.moments(con)
# finds centroid
#x,y = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))
Mouse.randMove(x1,y1,x2,y2,3)
time.sleep(5)
if RS.findOptionClick(x1,y1,'cis'):
run = 0
time.sleep(2)
break
def findOptionClick(x,y,option_name):
"""Option name of in Image database only needs to be passed, x,y are obsoleate"""
import Imgdb
# Image DB
idb = Imgdb.ImgDb()
template = idb.pickled_dict[option_name]
# turning template to graysacle
if len(template.shape) == 3:
template = cv2.cvtColor(template,cv2.COLOR_RGB2GRAY)
w, h = template.shape[::-1]#Width, height of template image
# coords of playing window
x1 = 0 #5
y1 = 25
x2 = 767
y2 = 524
rs_window = Screenshot.shoot(x1,y1,x2,y2)
# Finds all black lines
ret,thresh1 = cv2.threshold(rs_window,0,255,cv2.THRESH_BINARY)
# inverst to black to white
ret,thresh1 = cv2.threshold(thresh1,0,255,cv2.THRESH_BINARY_INV)
# looks for all squares
_, contours,h = cv2.findContours(thresh1,1,2)
for cnt in contours:
# looks for biggest square
if cv2.contourArea(cnt) <= 1695.0:
continue
# checks contour sides
approx = cv2.approxPolyDP(cnt,0.01*cv2.arcLength(cnt,True),True)
# Square found here vvvv
if len(approx)==4:
#print("square of {}".format(cv2.contourArea(cnt)))
#cv2.drawContours(rs_window,[cnt],0,(255,255,255),-1)
# get geometry of approx
# add rs coords
x,y,w,h = cv2.boundingRect(cnt)
#combines with playing window
x += x1
y += y1
# scrshot of option menu on play window
img = Screenshot.shoot(x,y,x+w,y+h)
ret,pattern = cv2.threshold(img,254,255,cv2.THRESH_BINARY)
### DEBUG LINE
#cv2.imshow('img',pattern)
#cv2.waitKey(0)
#return
break
else:
Mouse.randMove(0,0,500,500,0)
time.sleep(1)
print("Else ran")
res = cv2.matchTemplate(pattern,template,cv2.TM_CCOEFF_NORMED)
threshold = .9
loc = np.where( res >= threshold)
# clicks on option here when found in pattern
for pt in zip(*loc[::-1]):#goes through each found image
rsx, rsy = position()
x += pt[0] + rsx
y += pt[1] + rsy
y1 = y
y2 = y+10
img = Screenshot.shoot(x,y1,x+w,y2)
# range of x and y to click on.
# in the options
Mouse.randMove(x,y1,x+(w/2),y2, 1)
# autopy.mouse.click()#taking out since it does not delay the click
RandTime.randTime(0,0,0,0,0,9)
def telSalve(self):
RS.press_button('magic')
Mouse.randMove(568, 350, 586, 368, 1)
def back2bank():
Mouse.randMove(709, 111, 714, 113, 1)
RandTime.randTime(3, 0, 0, 3, 9, 9)
Mouse.randMove(703, 119, 709, 121, 1)
RandTime.randTime(4, 0, 0, 4, 9, 9)
Mouse.randMove(394, 174, 480, 201, 1)
def telSalve(self):
RS.press_button('magic')
Mouse.randMove(568,350,586,368,1)
def back2bank():
Mouse.randMove(709,111,714,113,1)
RandTime.randTime(3,0,0,3,9,9)
Mouse.randMove(703,119,709,121,1)
RandTime.randTime(4,0,0,4,9,9)
Mouse.randMove(394,174,480,201,1)
