Python PIL.ImageEnhance 模块,Sharpness() 实例源码

我们从Python开源项目中,提取了以下10个代码示例,用于说明如何使用PIL.ImageEnhance.Sharpness()

项目:Material-Design-Avatar    作者:today4king    | 项目源码 | 文件源码
def avatar_gen_img(self):
        font_size = int(self.size / 10 * 8)
        pic_size = self.size
        an, is_letter = self.avatar_name()
        font = self.zh_font_file_name
        if is_letter:
            font = self.en_font_file_name
            font_size = int(self.size / 10 * 11)

        font_file = os.path.abspath(os.path.join(self.font_dir, font))
        pygame.init()
        f = pygame.font.Font(font_file, font_size)
        is_light=self.is_light_color(self.avatar_background_color())
        rtext = f.render(an.upper(), True, (0,0,0) if is_light else (255, 255, 255))
        # pygame.image.save(rtext, '%s.png' % an)
        mode = 'RGBA'
        astr = pygame.image.tostring(rtext, 'RGBA')
        circle = Image.new("RGBA", (self.size, self.size))
        word = Image.frombytes(mode, f.size(an), astr)
        word_x = int((pic_size - word.size[0]) / 2)
        word_y = int(word_x * 0.9)
        if is_letter:
            word_y = int((pic_size - word.size[1]) / 2)
        draw = ImageDraw.Draw(circle)
        draw.ellipse((0, 0, self.size , self.size ),
                     fill=self.avatar_background_color(), outline=self.avatar_background_color())
        draw.point((100, 100), 'red')
        r, g, b, a = word.split()
        circle.paste(word, (word_x, word_y), a)
        sharpness = ImageEnhance.Sharpness(circle)
        # circle = sharpness.enhance(7.0)

        # im.show()

        # circle.show()

        # print(circle)
        return circle
项目:nuts-ml    作者:maet3608    | 项目源码 | 文件源码
def change_sharpness(image, sharpness=1.0):
    """
    Change sharpness of image.

    >>> image = np.eye(3, dtype='uint8') * 255
    >>> change_sharpness(image, 0.5)
    array([[255,   0,   0],
           [  0, 196,   0],
           [  0,   0, 255]], dtype=uint8)

    See
    http://pillow.readthedocs.io/en/3.1.x/reference/ImageEnhance.html#PIL.ImageEnhance.Sharpness

    :param numpy array image: Numpy array with range [0,255] and dtype 'uint8'.
    :param float sharpness: Sharpness [0, ...]
    :return: Image with changed sharpness
    :rtype: numpy array with range [0,255] and dtype 'uint8'
    """
    return enhance(image, ie.Sharpness, sharpness)
项目:ascii-art-py    作者:blinglnav    | 项目源码 | 文件源码
def do_sharpness(self):
        """usage: sharpness <image:pic1>

        Enhance sharpness in the top image.
        """
        from PIL import ImageEnhance
        factor = float(self.do_pop())
        image = self.do_pop()
        enhancer = ImageEnhance.Sharpness(image)
        self.push(enhancer.enhance(factor))

    # The interpreter loop
项目:nider    作者:pythad    | 项目源码 | 文件源码
def test_draw_on_image_with_enhancements(self,
                                             _draw_content_mock,
                                             _save,
                                             enhance_mock):
        with create_test_image():
            enhance_mock.return_value = PIL_Image.open('test.png')
            self.img.draw_on_image(
                image_path=os.path.abspath('test.png'),
                image_enhancements=((ImageEnhance.Sharpness, 0.5),
                                    (ImageEnhance.Brightness, 0.5)))
        self.assertTrue(enhance_mock.called)
        self.assertTrue(_draw_content_mock.called)
项目:mlAlgorithms    作者:gu-yan    | 项目源码 | 文件源码
def sharpness_enhance(self, factor, new_path=None, is_show=False):
        if self.img is None:
            img = Image.open(self.path)
        else:
            img = self.img
        img = ImageEnhance.Sharpness(img).enhance(factor)
        if new_path is not None:
            img.save(new_path)
        if is_show:
            img.show(title='sharpness')
        return img
项目:MLUtil    作者:WarBean    | 项目源码 | 文件源码
def sharpness(func_config):
    def f(image_config):
        factor = misc.uniform_sample_from_interval(func_config.min_factor, func_config.max_factor)
        image_config.image = ImageEnhance.Sharpness(image_config.image).enhance(factor)
    return f
项目:road_simulator    作者:vinzeebreak    | 项目源码 | 文件源码
def call(self, img):

        if img is None: raise ValueError('img is None')

        im_n = img.copy()

        r = random()
        contrast_low, contrast_high = 0, self.contrast
        brightness_low, brightness_high = contrast_high, contrast_high + self.brightness
        sharpness_low, sharpness_high = brightness_high, brightness_high + self.sharpness
        color_low, color_high = sharpness_high, sharpness_high + self.color

        if contrast_low <= r < contrast_high:
            factor_contrast = randint(5, 10)/10
            enhancer = ImageEnhance.Contrast(im_n)
            im_n = enhancer.enhance(factor_contrast)
        elif brightness_low <= r < brightness_high:
            factor_brightness = randint(5, 15)/10
            enhancer = ImageEnhance.Brightness(im_n)
            im_n = enhancer.enhance(factor_brightness)
        elif sharpness_low <= r < sharpness_high:
            factor_sharpen = randint(0, 20)/10
            enhancer = ImageEnhance.Sharpness(im_n)
            im_n = enhancer.enhance(factor_sharpen)
        elif color_low <= r < color_high:
            factor_color = randint(0, 20)/10
            enhancer = ImageEnhance.Color(im_n)
            im_n = enhancer.enhance(factor_color)
        else:
            pass

        return im_n
项目:lantern-detection    作者:gongxijun    | 项目源码 | 文件源码
def randomColor(image):
        """
        ?????????
        :param image: PIL???image
        :return: ????????image
        """
        random_factor = np.random.randint(0, 31) / 10.  # ????
        color_image = ImageEnhance.Color(image).enhance(random_factor)  # ????????
        random_factor = np.random.randint(10, 21) / 10.  # ????
        brightness_image = ImageEnhance.Brightness(color_image).enhance(random_factor)  # ???????
        random_factor = np.random.randint(10, 21) / 10.  # ???1?
        contrast_image = ImageEnhance.Contrast(brightness_image).enhance(random_factor)  # ???????
        random_factor = np.random.randint(0, 31) / 10.  # ????
        return ImageEnhance.Sharpness(contrast_image).enhance(random_factor)  # ??????
项目:TWEleReceipt    作者:hsucw    | 项目源码 | 文件源码
def tesseract(self, img):
        # keep the data
        fileName = "tmp_"+int(time.time()+random.randint(1,99999)).__str__()+".jpeg"
        while os.path.exists( fileName ):
            fileName = "tmp_"+int(time.time()+random.randint(1,99999)).__str__()+".jpeg"
        self.tmp_file = fileName
        with open(self.tmp_file, "w") as oFd:
            oFd.write(img)

        # resolve noise
        try:
            im = Image.open(self.tmp_file)
            enhancer = ImageEnhance.Color(im)
            im = enhancer.enhance(0.0)
            enhancer = ImageEnhance.Contrast(im)
            im = enhancer.enhance(3.0)
            enhancer = ImageEnhance.Brightness(im)
            im = enhancer.enhance(10.0)
            enhancer = ImageEnhance.Contrast(im)
            im = enhancer.enhance(20.0)
            enhancer = ImageEnhance.Sharpness(im)
            im = enhancer.enhance(0.0)
            im.save(self.tmp_file)
        except Exception as e:
            pass
        else:
            pass
        # use tesseract

        imgCode = os.popen("tesseract -l eng -psm 8 {} stdout 2>/dev/null"\
                .format(self.tmp_file)).readline()[0:-1]
        log.debug("Guess Ratio:{}/{}={}%".format(self.guess_hit+1, self.guess_total, \
                ((self.guess_hit+1)*100/(self.guess_total))))

        os.remove( self.tmp_file )


        return imgCode
项目:tanda    作者:HazyResearch    | 项目源码 | 文件源码
def TF_enhance_sharpness(x, p=1.0):
    assert len(x.shape) == 3
    h, w, nc = x.shape

    enhancer = ImageEnhance.Sharpness(np_to_pil(x))
    return pil_to_np(enhancer.enhance(p))