Exemple #1
0
    def execute(
            self, _to_download_url, _oss_helper: CloudObjectStorage = None,
            _image_size_threshold=10,

    ):
        """
        下载指定url的图像文件

        Args:
            _to_download_url:   待下载的图像url
            _oss_helper:    oss helper用于存储下载好的数据,可以为空
            _image_size_threshold:  图像字节数(KB)限制,如果低于阈值会异常

        Returns:    下载完成的结果

        """
        to_return_result = OrderedDict()
        try:
            download_result_io = self.download_url(_to_download_url, 1024 * 2)
            request_image = Image.open(download_result_io)
            if request_image is None:
                raise ImageFormatNotSupportException(
                    f'image:{_to_download_url} format not support,cannot decode by PILLOW')
            image_c = len(request_image.getbands())
            image_h = request_image.height
            image_w = request_image.width
            request_image_np = convert_pil_to_numpy(request_image)
            if _image_size_threshold is not None and request_image_np.nbytes < _image_size_threshold * 1024:
                raise ImageFileSizeAbnormalException(
                    f'image:{_to_download_url} is small than threshold,it may not be a normal picture')
            # 有些情况是不需要存储的,可能直接就用了。
            if _oss_helper:
                file_name = get_uuid_name()
                oss_path = os.path.join(get_date_string(), file_name)
                # 存储原始图像
                saved_path = _oss_helper.upload_image_file(self.bucket_name, oss_path, request_image,
                                                           _enable_compress=False)
            else:
                saved_path = ''
            to_return_result['bucket_name'] = self.bucket_name
            to_return_result['saved_path'] = saved_path
            to_return_result['image_height'] = image_h
            to_return_result['image_width'] = image_w
            to_return_result['image_channel'] = image_c
            to_return_result['image'] = request_image_np
            return to_return_result
        except requests.exceptions.ConnectionError as connect_error:
            raise DownloadURLNotAvailableException(f'{_to_download_url} cannot reach')
        except TimeoutError as te:
            raise ImageDownloadTimeoutException(f'{_to_download_url} download timeout')
        except CustomException as ce:
            raise ce
        except Exception as e:
            raise ConsumerAlgorithmUncatchException(tb.format_exc())
Exemple #2
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    def _image_object_decode(_img_object_bytes, _image_size_threshold=10):
        """
        对图像进行解码

        :param _img_object_bytes:     图像字节
        :param _image_size_threshold:   图像大小阈值,单位KB
        :return:    解码后的numpy数组
        """
        image_file_stream = io.BytesIO(_img_object_bytes)
        img_pil = Image.open(image_file_stream)
        request_image = convert_pil_to_numpy(img_pil)
        if _image_size_threshold and request_image.nbytes < 1024 * _image_size_threshold:
            raise ImageFileSizeAbnormalException('图像过小,可能不是正常图片')
        return request_image
Exemple #3
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    def _image_object_decode(_img_object_bytes, _image_size_threshold=10):
        """
        对图像进行解码

        :param _img_object_bytes:     图像字节
        :param _image_size_threshold:   图像大小阈值,单位KB
        :return:    解码后的numpy数组
        """
        image_file_stream = io.BytesIO(_img_object_bytes)
        m_image_file_buffer = image_file_stream.read()
        request_image = cv2.imdecode(
            np.frombuffer(m_image_file_buffer, np.uint8), -1)
        if _image_size_threshold and request_image.nbytes < 1024 * _image_size_threshold:
            raise ImageFileSizeAbnormalException('图像过小,可能不是正常图片')
        return request_image
Exemple #4
0
 def execute(
     self,
     _to_download_url,
     _oss_helper,
     _timeout=30,
     _image_size_threshold=10,
 ):
     to_return_result = OrderedDict()
     try:
         response = requests.get(_to_download_url, timeout=_timeout)
         data_stream = BytesIO(response.content)
         m_image_file_buffer = data_stream.read()
         request_image = cv2.imdecode(
             np.frombuffer(m_image_file_buffer, np.uint8), -1)
         if request_image is None:
             raise ImageFormatNotSupportException(
                 f'image:{_to_download_url} format not support,cannot decode by opencv'
             )
         if len(request_image.shape) == 3:
             image_h, image_w, image_c = request_image.shape
         else:
             image_h, image_w = request_image.shape[:2]
             image_c = 1
         if _image_size_threshold is not None and request_image.nbytes < _image_size_threshold * 1024:
             raise ImageFileSizeAbnormalException(
                 f'image:{_to_download_url} is small than threshold,it may not be a normal picture'
             )
         file_name = get_uuid_name()
         oss_path = os.path.join(get_date_string(), file_name)
         # 存储原始图像
         saved_path = _oss_helper.upload_image_file('downloaded-image',
                                                    oss_path,
                                                    request_image,
                                                    _enable_compress=False)
         to_return_result['bucket_name'] = 'downloaded-image'
         to_return_result['saved_path'] = saved_path
         to_return_result['image_height'] = image_h
         to_return_result['image_width'] = image_w
         to_return_result['image_channel'] = image_c
         return to_return_result
     except requests.exceptions.Timeout as te:
         raise ImageDownloadTimeoutException(
             f'{_to_download_url} download timeout')
     except CustomException as ce:
         raise ce
     except Exception as e:
         raise ConsumerAlgorithmUncatchException(tb.format_exc())