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You could use win32 APIs directly .
First give the focus to the App that you want to take screenshot of.
link text
Win32 API
can help with the screenshot:
import win32gui
import win32ui
import win32con
w = 1920 # set this
h = 1080 # set this
bmpfilenamename = "out.bmp" #set this
hwnd = win32gui.FindWindow(None, windowname)
wDC = win32gui.GetWindowDC(hwnd)
dcObj=win32ui.CreateDCFromHandle(wDC)
cDC=dcObj.CreateCompatibleDC()
dataBitMap = win32ui.CreateBitmap()
dataBitMap.CreateCompatibleBitmap(dcObj, w, h)
cDC.SelectObject(dataBitMap)
cDC.BitBlt((0,0),(w, h) , dcObj, (0,0), win32con.SRCCOPY)
dataBitMap.SaveBitmapFile(cDC, bmpfilenamename)
# Free Resources
dcObj.DeleteDC()
cDC.DeleteDC()
win32gui.ReleaseDC(hwnd, wDC)
win32gui.DeleteObject(dataBitMap.GetHandle())
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You can try my newly created project DXcam: I think for raw speed it's the fastest out there (in python, and without going too deep into the rabbit hole). It's originally created for a deep learning pipeline for FPS games where the higher FPS you get the better. Plus I (am trying to) design it to be user-friendly:
For a screenshot just do
import dxcam
camera = dxcam.create()
frame = camera.grab() # full screen
frame = camera.grab(region=(left, top, right, bottom)) # region
For screen capturing:
camera.start(target_fps=60) # threaded
for i in range(1000):
image = camera.get_latest_frame() # Will block until new frame available
camera.stop()
I copied the part of the benchmarks section from the readme:
The benchmarks is conducted through 5 trials on my 240hz monitor with a constant 240hz rendering rate synced w/the monitor (using blurbuster ufo test).
You can read more about the details here: https://github.com/ra1nty/DXcam
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with mss.mss() as sct:
monitor = {"top": 160, "left": 160, "width": 160, "height": 135}
img_array = np.array(sct.grab(monitor))
# Do whatever you want...
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