def takeScreenshot(screenshotType):
loadConfig()
if ('default' in screenshotType):
with mss.mss() as sct:
file = sct.shot(output=img_filename)
elif ('-d' in screenshotType):
with mss.mss() as sct:
time.sleep(5)
file = sct.shot(output=img_filename)
elif ('-i' in screenshotType):
with mss.mss() as sct:
file = sct.shot(output='imgur.png')
upload()
def screen_record():
sct = mss.mss()
last_time = time.time()
while (True):
img = sct.grab(mon)
print('loop took {} seconds'.format(time.time() - last_time))
last_time = time.time()
img = np.array(img)
processed_image = process_image(img)
mean = np.mean(processed_image)
print('mean = ', mean)
if mean <= float(0.11):
print('SSSSSSSS ')
pyautogui.click(button='left')
break
return
else:
time.sleep(0.01)
continue
return
if cv2.waitKey(25) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break
def fish_shrimp():
mon = tools.find_rs()
if mon['width'] < 773 or mon['height'] < 534:
print('rs not in screen or partially blocked!')
return -1
inv_items = [
cv2.imread("net.png"),
cv2.imread("shrimp.png"),
cv2.imread("bottle.png")
]
not_fishing = True
inventory = 0
cursor_data = display.Display().screen().root.query_pointer()._data
mouse_pos = (cursor_data["root_x"] - mon['left'],
cursor_data["root_y"] - mon['top'])
current_spot = (mon['left'] + mon['width'] / 1.5,
mon['top'] + mon['height'] / 2)
while True:
imfile = 'imfile.png'
shot = mss.mss().grab(mon)
mss.tools.to_png(shot.rgb, shot.size, output=imfile)
image = cv2.imread(imfile)
if not_fishing and inventory < 28:
#find closest fishing spot
new_spot = find_new_spot(image)
#move mouse and click
move_mouse(current_spot, new_spot, mon)
time.sleep(5)
shot = mss.mss().grab(mon)
mss.tools.to_png(shot.rgb, shot.size, output=imfile)
image = cv2.imread(imfile)
current_spot = find_new_spot(image)
not_fishing = False
else:
#check if spot has changed
temp_spot = find_new_spot(image)
if temp_spot is not current_spot:
not_fishing = True
#count items
inventory = inventory_num(image)
time.sleep(2)
if inventory > 28:
#go to bank
print('done fishing')
def ss():
op = 1
with mss.mss() as sct:
monitor = {"top": 40, "left": 0, "width": 800, "height": 640}
while "Screen capturing":
last_time = time.time()
img = numpy.array(sct.grab(monitor))
gray_frame = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
res = cv2.matchTemplate(gray_frame, template, cv2.TM_CCOEFF_NORMED)
loc = np.where(res >= 0.7)
op += 1
print(op)
for pt in zip(*loc[::-1]):
cv2.rectangle(img, pt, (pt[0] + w, pt[1] + h), (0, 255, 0), 3)
for p in img:
pts = (pt[0], pt[1])
x = (pt[0])
y = (pt[1])
print(x)
if 100 < x < 490:
pyautogui.mouseDown(button='left')
time.sleep(2)
pyautogui.mouseUp(button='left')
x = 0
break
else:
continue
break
else:
continue
break
key = cv2.waitKey(1)
if cv2.waitKey(25) & 0xFF == ord("q"):
cv2.destroyAllWindows()
if op > 35:
return
def grabData(menuMonitor):
sct = mss.mss()
sct_img = sct.grab(menuMonitor)
return sct_img
def find_top_corner():
with mss.mss() as sct:
cmon = cv2.imread(sct.shot(), 0)
rl = cv2.imread('rl_logo.png', 0)
res = cv2.matchTemplate(cmon, rl, cv2.TM_CCOEFF)
return cv2.minMaxLoc(res)[3]
def live_play_to_table(name):
global click
click = False
mon = find_rs()
cursor = cv2.imread("cursor.png")
fish = cv2.imread("fish.png")
inv_items = [
cv2.imread("net.png"),
cv2.imread("shrimp.png"),
cv2.imread("bottle.png")
]
with open(name + ".csv", 'w', newline='') as file:
fieldnames = [
'cursor_locx', 'cursor_locy', 'fish_locx', 'fish_locy', 'inv_num',
'click', 'time_elapsed'
]
writer = csv.DictWriter(file, fieldnames=fieldnames)
count = 0
prev_time = time.time()
with mouse.Listener(on_click=on_click) as listener:
while 1:
#get image
imfile = 'imfile.png'
shot = mss.mss().grab(mon)
mss.tools.to_png(shot.rgb, shot.size, output=imfile)
image = cv2.imread(imfile)
#cursor location
cursor_data = display.Display().screen().root.query_pointer(
)._data
cursor_loc = (cursor_data["root_x"] - mon['left'],
cursor_data["root_y"] - mon['top'])
#fishing spots convolution
fish_res = cv2.matchTemplate(image[:np.newaxis, :570], fish,
cv2.TM_CCOEFF_NORMED)
fish_spots = np.where(fish_res >= 0.7)
fish_loc = [pt for pt in zip(*fish_spots[::-1])]
for f in fish_loc:
f = list(f)
f[0] += 13
f[1] += 17
close_fish = tuple(closest_coord(fish_loc))
#inventory number
item_count = 0
for item in inv_items:
res = cv2.matchTemplate(image[:np.newaxis, 570:], item,
cv2.TM_CCOEFF_NORMED)
inv_spots = np.where(res >= 0.8)
inv_loc = [pt for pt in zip(*inv_spots[::-1])]
item_count += len(inv_loc)
#click
click_loc = 0
if click:
click_loc = 1
#screen turn (hard, do later :P)
time_elapsed = time.time() - prev_time
prev_time = time.time()
#write to csv
writer.writerow({
'cursor_locx': cursor_loc[0] / mon['width'],
'cursor_locy': cursor_loc[1] / mon['height'],
'fish_locx': close_fish[0] / mon['width'],
'fish_locy': close_fish[1] / mon['height'],
'inv_num': item_count / 28,
'click': click_loc,
'time_elapsed': time_elapsed
})
count += 1
click = False
listener.join()
def get_monitor():
with mss.mss() as sct:
size = pag.size()
mon = {"top": 0, "left": 0, "width": size.width, "height": size.height}
return np.array(sct.grab(mon))
import numpy as np
import cv2
from mss.linux import MSS as mss
from PIL import Image
import time
import pyautogui as pg
import cv2
import mss
import numpy
template = cv2.imread("Senkoface.png", cv2.IMREAD_GRAYSCALE)
w, h = template.shape[::-1]
with mss.mss() as sct:
monitor = {"top": 40, "left": 0, "width": 800, "height": 640}
while "Screen capturing":
last_time = time.time()
img = numpy.array(sct.grab(monitor))
cv2.imshow("OpenCV/Numpy normal", img)
print("fps: {}".format(1 / (time.time() - last_time)))
gray_frame = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
res = cv2.matchTemplate(gray_frame, template, cv2.TM_CCOEFF_NORMED)
loc = np.where(res >= 0.7)
for pt in zip(*loc[::-1]):
cv2.rectangle(img, pt, (pt[0] + w, pt[1] + h), (0, 255, 0), 3)
cv2.imshow("Frame", img)
key = cv2.waitKey(1)
if cv2.waitKey(25) & 0xFF == ord("q"):
cv2.destroyAllWindows()
break