Python cv2.COLOR_RGBA2BGRA Examples

def SkipIteration(I1, I2, saveQuality, out1, out2) : 
	
	I1RGBA = cv2.cvtColor(np.array(I1), cv2.COLOR_RGBA2BGRA)
	I2RGBA = cv2.cvtColor(np.array(I2), cv2.COLOR_RGBA2BGRA)
	
	mask1 = np.ones((I1RGBA.shape[0], I1RGBA.shape[1])) * 100
	mask2 = np.ones((I2RGBA.shape[0], I2RGBA.shape[1])) * 100
	
	I1RGBA[:, :, 3] = mask1
	I2RGBA[:, :, 3] = mask2
	
	ratio1 = max(max(I1RGBA.shape[0], I1RGBA.shape[1]) / float(saveQuality), 1)
	I1RGBA =imresize(I1RGBA, (int(I1RGBA.shape[0] / ratio1), int(I1RGBA.shape[1] / ratio1)))
	
	ratio2 = max(I2RGBA.shape[0], I2RGBA.shape[1]) / float(saveQuality)
	I2RGBA =imresize(I2RGBA, (int(I2RGBA.shape[0] / ratio2), int(I2RGBA.shape[1] / ratio2)))
	
	
	cv2.imwrite(out1, I1RGBA)
	cv2.imwrite(out2, I2RGBA)
	
## Blur the mask 

def SkipIteration(I1, I2, saveQuality, out1, out2) : 
	
	I1RGBA = cv2.cvtColor(np.array(I1), cv2.COLOR_RGBA2BGRA)
	I2RGBA = cv2.cvtColor(np.array(I2), cv2.COLOR_RGBA2BGRA)
	
	mask1 = np.ones((I1RGBA.shape[0], I1RGBA.shape[1])) * 100
	mask2 = np.ones((I2RGBA.shape[0], I2RGBA.shape[1])) * 100
	
	I1RGBA[:, :, 3] = mask1
	I2RGBA[:, :, 3] = mask2
	
	ratio1 = max(max(I1RGBA.shape[0], I1RGBA.shape[1]) / float(saveQuality), 1)
	I1RGBA =imresize(I1RGBA, (int(I1RGBA.shape[0] / ratio1), int(I1RGBA.shape[1] / ratio1)))
	
	ratio2 = max(I2RGBA.shape[0], I2RGBA.shape[1]) / float(saveQuality)
	I2RGBA =imresize(I2RGBA, (int(I2RGBA.shape[0] / ratio2), int(I2RGBA.shape[1] / ratio2)))
	
	
	cv2.imwrite(out1, I1RGBA)
	cv2.imwrite(out2, I2RGBA)
	
## Blur the mask 

def rgba2bgra(img):
    a = alpha(img)
    bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
    bgra[:, :, 3] = a
    return bgra


## RGB to BGR. 

def rgba2bgra(img):
    a = alpha(img)
    bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
    bgra[:, :, 3] = a
    return bgra


## RGB to BGR. 

def imsave(self, path, img, channel_first=False, as_uint16=False, auto_scale=True):
        """
        Save image by cv2 module.
        Args:
            path (str): output filename
            img (numpy.ndarray): Image array to save. Image shape is considered as (height, width, channel) by default.
            channel_first:
                This argument specifies the shape of img is whether (height, width, channel) or (channel, height, width).
                Default value is False, which means the img shape is (height, width, channel)
            as_uint16 (bool):
                If True, save image as uint16.
            auto_scale (bool) :
                Whether upscale pixel values or not.
                If you want to save float image, this argument must be True.
                In cv2 backend, all below are supported.
                    - float ([0, 1]) to uint8 ([0, 255])  (if img.dtype==float and auto_scale==True and as_uint16==False)
                    - float to uint16 ([0, 65535]) (if img.dtype==float and auto_scale==True and as_uint16==True)
                    - uint8 to uint16 are supported (if img.dtype==np.uint8 and auto_scale==True and as_uint16==True)
        """

        img = _imsave_before(img, channel_first, auto_scale)

        if auto_scale:
            img = upscale_pixel_intensity(img, as_uint16)

        img = check_type_and_cast_if_necessary(img, as_uint16)

        # revert channel order to opencv`s one.
        if len(img.shape) == 3:
            if img.shape[-1] == 3:
                img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
            elif img.shape[-1] == 4:
                img = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)

        cv2.imwrite(path, img) 

def create_image_summary(name, val):
    """
    Args:
        name(str):
        val(np.ndarray): 4D tensor of NHWC. assume RGB if C==3.
            Can be either float or uint8. Range has to be [0,255].

    Returns:
        tf.Summary:
    """
    assert isinstance(name, six.string_types), type(name)
    n, h, w, c = val.shape
    val = val.astype('uint8')
    s = tf.Summary()
    imparams = [cv2.IMWRITE_PNG_COMPRESSION, 9]
    for k in range(n):
        arr = val[k]
        # CV2 will only write correctly in BGR chanel order
        if c == 3:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGB2BGR)
        elif c == 4:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGBA2BGRA)
        tag = name if n == 1 else '{}/{}'.format(name, k)
        retval, img_str = cv2.imencode('.png', arr, imparams)
        if not retval:
            # Encoding has failed.
            continue
        img_str = img_str.tostring()

        img = tf.Summary.Image()
        img.height = h
        img.width = w
        # 1 - grayscale 3 - RGB 4 - RGBA
        img.colorspace = c
        img.encoded_image_string = img_str
        s.value.add(tag=tag, image=img)
    return s 

def create_image_summary(name, val):
    """
    Args:
        name(str):
        val(np.ndarray): 4D tensor of NHWC. assume RGB if C==3.
            Can be either float or uint8. Range has to be [0,255].

    Returns:
        tf.Summary:
    """
    assert isinstance(name, six.string_types), type(name)
    n, h, w, c = val.shape
    val = val.astype('uint8')
    s = tf.Summary()
    imparams = [cv2.IMWRITE_PNG_COMPRESSION, 9]
    for k in range(n):
        arr = val[k]
        # CV2 will only write correctly in BGR chanel order
        if c == 3:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGB2BGR)
        elif c == 4:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGBA2BGRA)
        tag = name if n == 1 else '{}/{}'.format(name, k)
        retval, img_str = cv2.imencode('.png', arr, imparams)
        if not retval:
            # Encoding has failed.
            continue
        img_str = img_str.tostring()

        img = tf.Summary.Image()
        img.height = h
        img.width = w
        # 1 - grayscale 3 - RGB 4 - RGBA
        img.colorspace = c
        img.encoded_image_string = img_str
        s.value.add(tag=tag, image=img)
    return s 

def overlay(src_image, overlay_image, pos_x, pos_y):
    # オーバレイ画像のサイズを取得
    ol_height, ol_width = overlay_image.shape[:2]

    # OpenCVの画像データをPILに変換
    # BGRAからRGBAへ変換
    src_image_RGBA = cv2.cvtColor(src_image, cv2.COLOR_BGR2RGB)
    overlay_image_RGBA = cv2.cvtColor(overlay_image, cv2.COLOR_BGRA2RGBA)

    #　PILに変換
    src_image_PIL=Image.fromarray(src_image_RGBA)
    overlay_image_PIL=Image.fromarray(overlay_image_RGBA)

    # 合成のため、RGBAモードに変更
    src_image_PIL = src_image_PIL.convert('RGBA')
    overlay_image_PIL = overlay_image_PIL.convert('RGBA')

    # 同じ大きさの透過キャンパスを用意
    tmp = Image.new('RGBA', src_image_PIL.size, (255, 255,255, 0))
    # 用意したキャンパスに上書き
    tmp.paste(overlay_image_PIL, (pos_x, pos_y), overlay_image_PIL)
    # オリジナルとキャンパスを合成して保存
    result = Image.alpha_composite(src_image_PIL, tmp)

    return  cv2.cvtColor(np.asarray(result), cv2.COLOR_RGBA2BGRA)

# 画像周辺のパディングを削除 

def create_image_summary(name, val):
    """
    Args:
        name(str):
        val(np.ndarray): 4D tensor of NHWC. assume RGB if C==3.
            Can be either float or uint8. Range has to be [0,255].

    Returns:
        tf.Summary:
    """
    assert isinstance(name, six.string_types), type(name)
    n, h, w, c = val.shape
    val = val.astype('uint8')
    s = tf.Summary()
    imparams = [cv2.IMWRITE_PNG_COMPRESSION, 9]
    for k in range(n):
        arr = val[k]
        # CV2 will only write correctly in BGR chanel order
        if c == 3:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGB2BGR)
        elif c == 4:
            arr = cv2.cvtColor(arr, cv2.COLOR_RGBA2BGRA)
        tag = name if n == 1 else '{}/{}'.format(name, k)
        retval, img_str = cv2.imencode('.png', arr, imparams)
        if not retval:
            # Encoding has failed.
            continue
        img_str = img_str.tostring()

        img = tf.Summary.Image()
        img.height = h
        img.width = w
        # 1 - grayscale 3 - RGB 4 - RGBA
        img.colorspace = c
        img.encoded_image_string = img_str
        s.value.add(tag=tag, image=img)
    return s 

def generator():
    global ename, esex, enation, eyear, emon, eday, eaddr, eidn, eorg, elife, ebgvar
    name = ename.get()
    sex = esex.get()
    nation = enation.get()
    year = eyear.get()
    mon = emon.get()
    day = eday.get()
    org = eorg.get()
    life = elife.get()
    addr = eaddr.get()
    idn = eidn.get()

    fname = askopenfilename(initialdir=os.getcwd(), title=u'选择头像')
    # print fname
    im = PImage.open(os.path.join(base_dir, 'empty.png'))
    avatar = PImage.open(fname)  # 500x670

    name_font = ImageFont.truetype(os.path.join(base_dir, 'hei.ttf'), 72)
    other_font = ImageFont.truetype(os.path.join(base_dir, 'hei.ttf'), 60)
    bdate_font = ImageFont.truetype(os.path.join(base_dir, 'fzhei.ttf'), 60)
    id_font = ImageFont.truetype(os.path.join(base_dir, 'ocrb10bt.ttf'), 72)

    draw = ImageDraw.Draw(im)
    draw.text((630, 690), name, fill=(0, 0, 0), font=name_font)
    draw.text((630, 840), sex, fill=(0, 0, 0), font=other_font)
    draw.text((1030, 840), nation, fill=(0, 0, 0), font=other_font)
    draw.text((630, 980), year, fill=(0, 0, 0), font=bdate_font)
    draw.text((950, 980), mon, fill=(0, 0, 0), font=bdate_font)
    draw.text((1150, 980), day, fill=(0, 0, 0), font=bdate_font)
    start = 0
    loc = 1120
    while start + 11 < len(addr):
        draw.text((630, loc), addr[start:start + 11], fill=(0, 0, 0), font=other_font)
        start += 11
        loc += 100
    draw.text((630, loc), addr[start:], fill=(0, 0, 0), font=other_font)
    draw.text((950, 1475), idn, fill=(0, 0, 0), font=id_font)
    draw.text((1050, 2750), org, fill=(0, 0, 0), font=other_font)
    draw.text((1050, 2895), life, fill=(0, 0, 0), font=other_font)
    
    if ebgvar.get():
        avatar = cv2.cvtColor(np.asarray(avatar), cv2.COLOR_RGBA2BGRA)
        im = cv2.cvtColor(np.asarray(im), cv2.COLOR_RGBA2BGRA)
        im = changeBackground(avatar, im, (500, 670), (690, 1500))
        im = PImage.fromarray(cv2.cvtColor(im, cv2.COLOR_BGRA2RGBA))
    else:
        avatar = avatar.resize((500, 670))
        avatar = avatar.convert('RGBA')
        im.paste(avatar, (1500, 690), mask=avatar)
        #im = paste(avatar, im, (500, 670), (690, 1500))
        

    im.save('color.png')
    im.convert('L').save('bw.png')

    showinfo(u'成功', u'文件已生成到目录下,黑白bw.png和彩色color.png')