Python Image.frombuffer方法代碼示例

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def displayImage(image):
    global grey_palette
    
    l_height = SCREEN_HEIGHT
    l_width = SCREEN_WIDTH

    pgImage = pygame.image.frombuffer(image.tobytes(), image.size, 'P' )
    pgImage.set_palette(grey_palette)

    i_width = pgImage.get_width()
    i_height = pgImage.get_height()
    
    pgImage = pygame.transform.scale( pgImage, (int(i_width*(1.0*l_height/i_height)),  l_height) )
    screen.fill(backgroundColor)
    screen.blit(pgImage, ((l_width - pgImage.get_width())/2, (l_height-pgImage.get_height())/2))
    pygame.display.flip() 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def writeMetaData(imgname, tag, replace):
	try:
		metaData = {}
		imgFile = Image.open(imgname)
		imgData = imgFile.getdata()
		print "Getting meta data..."
		info = imgFile._getexif()
		if info:
			print "found meta data!"
			i = 0
			for (tag, value) in info.items():
				i = i + 1
				tagname = TAGS.get(tag, tag)
				#if tagname == tagToReplace:
					#info.items()[i][1] = replace

			print "Saving Change"
			outImg = Image.frombuffer("RGBX",len(imgData)+len(info),imgData+info)
			outImg.save(img)
		
	except:
		print "Failed" 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def write(self, s):
        global lcd
        image = Image.frombuffer('L', P_SIZE, s, "raw", 'L', 0, 1)
        image = image.crop((self.x, 0, self.x+1, P_HEIGHT))
        self.image_scan.paste(image,(self.x, 0))
        if self.x < P_WIDTH-1:
            self.x += 1
        image = ImageOps.invert(self.image_scan)
        image.thumbnail(S_SIZE, Image.NEAREST)
        image = image.convert('1')
        lcd.write(image.tobytes()) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def write(self, s):
            
        if self.mode == SCAN_MODE:
            image = Image.frombuffer('L', PRINTER_SIZE, s, "raw", 'L', 0, 1)
            image = image.crop((self.x, 0, self.x+1, PRINTER_HEIGHT))
            self.image_stack.paste(image,(self.x, 0))
            
            if self.x < PRINTER_WIDTH-1:
                self.x += 1
            else:
                self.scanDone = True
                print("spent for 640 lines: ", time.time()-self.lastTime)
            
        if self.mode == SCAN_MODE_FIX:
            image = Image.frombuffer('L', PRINTER_SIZE, s, "raw", 'L', 0, 1)
            image = image.crop((PRINTER_WIDTH/2, 0, (PRINTER_WIDTH/2)+1, PRINTER_HEIGHT))
            image_total = Image.new('L', (self.x+1, PRINTER_HEIGHT), 0)
            image_total.paste(self.image_stack, (0, 0))
            image_total.paste(image,(self.x, 0))
            self.image_stack = image_total.copy()
              
            if self.x < 5000:
                self.x += 1
            else:
                self.scanDone = True
                print("spent for 5000 lines: ", time.time()-self.lastTime) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def write(self, s):
        global lcd
        self.size += len(s)
        image = Image.frombuffer('L', (416, 240), s, "raw", 'L', 0, 1)
        image = image.crop((0, 0, S_WIDTH, S_HEIGHT))
        image = ImageOps.invert(image)
        image = image.convert('1')
        lcd.write(image.tobytes()) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def write(self, s):
        global lcd
        
        b1 = bytearray()
        b1.extend(s[:(P_WIDTH*P_HEIGHT)])
        
        mi = min(b1)
        ma = max(b1)
        ra = ma-mi
        b2 = bytearray()
        
        for pix in range(P_WIDTH*P_HEIGHT):
            b2.append( (b1[pix]*(255/ra))-mi )
        
        print(max(b1), min(b1), max(b2), min(b2))
        
        image = Image.frombuffer('L', P_SIZE, b2, "raw", 'L', 0, 1)
        image.thumbnail(S_SIZE, Image.NEAREST)
        
#         draw = ImageDraw.Draw(image)
#         font = ImageFont.truetype('arial.ttf', 18)
#         
#         draw.rectangle([(0, 0), (115, 22)], fill=255, outline=0)
#         draw.text((2, 2), "TESt *", fill='black', font=font)
        
        image = ImageOps.invert(image)
        image = image.convert('1')
        lcd.write(image.tobytes()) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def write(self, s):
        global lcd
        image = Image.frombuffer('L', (416, 240), s, "raw", 'L', 0, 1)
        image = image.crop((8, 0, S_WIDTH+8, S_HEIGHT))
        image = ImageOps.invert(image)
        image = image.convert('1')
        lcd.write(image.tobytes()) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def get_bitmap() -> image:
        """Get and return a bitmap of the Window."""
        left, top, right, bot = win32gui.GetWindowRect(Window.id)
        w = right - left
        h = bot - top
        hwnd_dc = win32gui.GetWindowDC(Window.id)
        mfc_dc = win32ui.CreateDCFromHandle(hwnd_dc)
        save_dc = mfc_dc.CreateCompatibleDC()
        save_bitmap = win32ui.CreateBitmap()
        save_bitmap.CreateCompatibleBitmap(mfc_dc, w, h)
        save_dc.SelectObject(save_bitmap)
        windll.user32.PrintWindow(Window.id, save_dc.GetSafeHdc(), 0)
        bmpinfo = save_bitmap.GetInfo()
        bmpstr = save_bitmap.GetBitmapBits(True)

        # This creates an Image object from Pillow
        bmp = image.frombuffer('RGB',
                               (bmpinfo['bmWidth'],
                                bmpinfo['bmHeight']),
                               bmpstr, 'raw', 'BGRX', 0, 1)

        win32gui.DeleteObject(save_bitmap.GetHandle())
        save_dc.DeleteDC()
        mfc_dc.DeleteDC()
        win32gui.ReleaseDC(Window.id, hwnd_dc)
        # bmp.save("asdf.png")
        return bmp 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def array2PIL(arr):
    mode = 'RGBA'
    shape = arr.shape
    arr = arr.reshape(arr.shape[0]*arr.shape[1], arr.shape[2])
    if len(arr[0]) == 3:
        arr = np.c_[arr, 255*np.ones((len(arr),1), np.uint8)]

    return Image.frombuffer(mode, (shape[1], shape[0]), arr.tostring(), 'raw', mode, 0, 1) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def _saveImage(img, imgsize, destFile):
    mode = 'RGBA'
    arr = img.reshape(img.shape[0]*img.shape[1], img.shape[2])
    if len(arr[0]) == 3:
        arr = np.c_[arr, 255*np.ones((len(arr),1), np.uint8)]
    img =  Image.frombuffer(mode, imgsize, arr.tostring(), 'raw', mode, 0, 1)
    img.save(destFile) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def print_jpg(self, filename_or_obj, *args, **kwargs):
            """
            Supported kwargs:

            *quality*: The image quality, on a scale from 1 (worst) to
                95 (best). The default is 95, if not given in the
                matplotlibrc file in the savefig.jpeg_quality parameter.
                Values above 95 should be avoided; 100 completely
                disables the JPEG quantization stage.

            *optimize*: If present, indicates that the encoder should
                make an extra pass over the image in order to select
                optimal encoder settings.

            *progressive*: If present, indicates that this image
                should be stored as a progressive JPEG file.
            """
            from backends.backend_agg import FigureCanvasAgg  # lazy import
            agg = self.switch_backends(FigureCanvasAgg)
            buf, size = agg.print_to_buffer()
            if kwargs.pop("dryrun", False):
                return
            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
            options = cbook.restrict_dict(kwargs, ['quality', 'optimize',
                                                   'progressive'])

            if 'quality' not in options:
                options['quality'] = rcParams['savefig.jpeg_quality']

            return image.save(filename_or_obj, format='jpeg', **options) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def print_tif(self, filename_or_obj, *args, **kwargs):
            from backends.backend_agg import FigureCanvasAgg  # lazy import
            agg = self.switch_backends(FigureCanvasAgg)
            buf, size = agg.print_to_buffer()
            if kwargs.pop("dryrun", False):
                return
            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
            dpi = (self.figure.dpi, self.figure.dpi)
            return image.save(filename_or_obj, format='tiff',
                              dpi=dpi) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def pil_to_array(pilImage):
    """Load a `PIL image`_ and return it as a numpy array.

    .. _PIL image: https://pillow.readthedocs.io/en/latest/reference/Image.html

    Returns
    -------
    numpy.array

        The array shape depends on the image type:

        - (M, N) for grayscale images.
        - (M, N, 3) for RGB images.
        - (M, N, 4) for RGBA images.

    """
    if pilImage.mode in ['RGBA', 'RGBX', 'RGB', 'L']:
        # return MxNx4 RGBA, MxNx3 RBA, or MxN luminance array
        return np.asarray(pilImage)
    elif pilImage.mode.startswith('I;16'):
        # return MxN luminance array of uint16
        raw = pilImage.tobytes('raw', pilImage.mode)
        if pilImage.mode.endswith('B'):
            x = np.frombuffer(raw, '>u2')
        else:
            x = np.frombuffer(raw, '<u2')
        return x.reshape(pilImage.size[::-1]).astype('=u2')
    else:  # try to convert to an rgba image
        try:
            pilImage = pilImage.convert('RGBA')
        except ValueError:
            raise RuntimeError('Unknown image mode')
        return np.asarray(pilImage)  # return MxNx4 RGBA array 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def stop_filter(self, post_processing):
        """
        Save the plot in the current canvas as a image and apply
        the *post_processing* function.

           def post_processing(image, dpi):
             # ny, nx, depth = image.shape
             # image (numpy array) has RGBA channels and has a depth of 4.
             ...
             # create a new_image (numpy array of 4 channels, size can be
             # different). The resulting image may have offsets from
             # lower-left corner of the original image
             return new_image, offset_x, offset_y

        The saved renderer is restored and the returned image from
        post_processing is plotted (using draw_image) on it.
        """

        width, height = int(self.width), int(self.height)

        buffer, (l, b, w, h) = self.tostring_rgba_minimized()

        self._renderer = self._filter_renderers.pop()
        self._update_methods()

        if w > 0 and h > 0:
            img = np.frombuffer(buffer, np.uint8)
            img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
                                          self.dpi)
            gc = self.new_gc()
            if img.dtype.kind == 'f':
                img = np.asarray(img * 255., np.uint8)
            img = img[::-1]
            self._renderer.draw_image(gc, l + ox, height - b - h + oy, img) 

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import frombuffer [as 別名]
def print_tif(self, filename_or_obj, *args, dryrun=False,
                      pil_kwargs=None, **kwargs):
            buf, size = self.print_to_buffer()
            if dryrun:
                return
            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
            if pil_kwargs is None:
                pil_kwargs = {}
            pil_kwargs.setdefault("dpi", (self.figure.dpi, self.figure.dpi))
            return image.save(filename_or_obj, format='tiff', **pil_kwargs)