image_preprocess.py 文件源码

python
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项目:tensormsa_old 作者: TensorMSA 项目源码 文件源码
def resize_file_image(self, path, net_info, format_info, file_name, label):
        """
        load uploaded image and resize
        :param path:
        :return:
        """
        x_size = int(format_info['x_size'])
        y_size = int(format_info['y_size'])
        dataframe = net_info['dir']
        table = net_info['table']

        im = Image.open(path).convert('L')
        width = float(im.size[0])
        height = float(im.size[1])
        newImage = Image.new('L', (x_size, y_size), (255))

        if width > height:
            nheight = int(round((x_size / width * height), 0))
            img = im.resize((x_size, nheight), Image.ANTIALIAS).filter(ImageFilter.SHARPEN)
            wtop = int(round(((y_size - nheight) / 2), 0))
            newImage.paste(img, (4, wtop))
        else:
            nwidth = int(round((x_size / height * width), 0))
            if (nwidth == 0):
                nwidth = 1

            img = im.resize((nwidth, y_size), Image.ANTIALIAS).filter(ImageFilter.SHARPEN)
            wleft = int(round(((y_size - nwidth) / 2), 0))
            newImage.paste(img, (wleft, 4))
        width, height = newImage.size

        #save preview on jango static folder
        self.save_preview_image(newImage, dataframe, table, file_name, label)
        return newImage.getdata(), width, height
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