def get_video_frames(<EOL>self, team_name, review_id, start_seed=None, no_of_records=None, filter=None, custom_headers=None, raw=False, **operation_config):
<EOL>url = self.get_video_frames.metadata['<STR_LIT:url>']<EOL>path_format_arguments = {<EOL>'<STR_LIT>': self._serialize.url("<STR_LIT>", self.config.endpoint, '<STR_LIT:str>', skip_quote=True),<EOL>'<STR_LIT>': self._serialize.url("<STR_LIT>", team_name, '<STR_LIT:str>'),<EOL>'<STR_LIT>': self._serialize.url("<STR_LIT>", review_id, '<STR_LIT:str>')<EOL>}<EOL>url = self._client.format_url(url, **path_format_arguments)<EOL>query_parameters = {}<EOL>if start_seed is not None:<EOL><INDENT>query_parameters['<STR_LIT>'] = self._serialize.query("<STR_LIT>", start_seed, '<STR_LIT:int>')<EOL><DEDENT>if no_of_records is not None:<EOL><INDENT>query_parameters['<STR_LIT>'] = self._serialize.query("<STR_LIT>", no_of_records, '<STR_LIT:int>')<EOL><DEDENT>if filter is not None:<EOL><INDENT>query_parameters['<STR_LIT>'] = self._serialize.query("<STR_LIT>", filter, '<STR_LIT:str>')<EOL><DEDENT>header_parameters = {}<EOL>header_parameters['<STR_LIT>'] = '<STR_LIT:application/json>'<EOL>if custom_headers:<EOL><INDENT>header_parameters.update(custom_headers)<EOL><DEDENT>request = self._client.get(url, query_parameters, header_parameters)<EOL>response = self._client.send(request, stream=False, **operation_config)<EOL>if response.status_code not in [<NUM_LIT:200>]:<EOL><INDENT>raise models.APIErrorException(self._deserialize, response)<EOL><DEDENT>deserialized = None<EOL>if response.status_code == <NUM_LIT:200>:<EOL><INDENT>deserialized = self._deserialize('<STR_LIT>', response)<EOL><DEDENT>if raw:<EOL><INDENT>client_raw_response = ClientRawResponse(deserialized, response)<EOL>return client_raw_response<EOL><DEDENT>return deserialized<EOL>
The reviews created would show up for Reviewers on your team. As
        Reviewers complete reviewing, results of the Review would be POSTED
        (i.e. HTTP POST) on the specified CallBackEndpoint.
        <h3>CallBack Schemas </h3>
        <h4>Review Completion CallBack Sample</h4>
        <p>
        {<br/>
        "ReviewId": "<Review Id>",<br/>
        "ModifiedOn": "2016-10-11T22:36:32.9934851Z",<br/>
        "ModifiedBy": "<Name of the Reviewer>",<br/>
        "CallBackType": "Review",<br/>
        "ContentId": "<The ContentId that was specified input>",<br/>
        "Metadata": {<br/>
        "adultscore": "0.xxx",<br/>
        "a": "False",<br/>
        "racyscore": "0.xxx",<br/>
        "r": "True"<br/>
        },<br/>
        "ReviewerResultTags": {<br/>
        "a": "False",<br/>
        "r": "True"<br/>
        }<br/>
        }<br/>
        </p>.

        :param team_name: Your team name.
        :type team_name: str
        :param review_id: Id of the review.
        :type review_id: str
        :param start_seed: Time stamp of the frame from where you want to
         start fetching the frames.
        :type start_seed: int
        :param no_of_records: Number of frames to fetch.
        :type no_of_records: int
        :param filter: Get frames filtered by tags.
        :type filter: str
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: Frames or ClientRawResponse if raw=true
        :rtype: ~azure.cognitiveservices.vision.contentmoderator.models.Frames
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`APIErrorException<azure.cognitiveservices.vision.contentmoderator.models.APIErrorException>`