Question: Which contributor to the version of OpenCV where support was added for the Mask-RCNN model has the same name as a former Chinese head of government when the names are transliterated to the Latin alphabet?

Orchestrator (-> WebSurfer)
Orchestrator (thought)
WebSurfer

[{"content": "Which contributor to the version of OpenCV where support was added for the Mask-RCNN model has the same name as a former Chinese head of government when the names are transliterated to the Latin alphabet?\n", "role": "human"}, {"content": "Initial plan:\n\nWe are working to address the following user request:\n\nWhich contributor to the version of OpenCV where support was added for the Mask-RCNN model has the same name as a former Chinese head of government when the names are transliterated to the Latin alphabet?\n\n\nTo answer this request we have assembled the following team:\n\nAssistant: A helpful and general-purpose AI assistant that has strong language skills, Python skills, and Linux command line skills.\nComputerTerminal: A computer terminal that performs no other action than running Python scripts (provided to it quoted in ```python code blocks), or sh shell scripts (provided to it quoted in ```sh code blocks)\nFileSurfer: An agent that can handle local files.\nWebSurfer: A helpful assistant with access to a web browser. Ask them to perform web searches, open pages, and interact with content (e.g., clicking links, scrolling the viewport, etc., filling in form fields, etc.) It can also summarize the entire page, or answer questions based on the content of the page. It can also be asked to sleep and wait for pages to load, in cases where the pages seem to be taking a while to load.\n\n\n\nHere is an initial fact sheet to consider:\n\n### 1. GIVEN OR VERIFIED FACTS\n- The request is about an OpenCV contributor to the version where support for the Mask-RCNN model was added.\n- The name of this contributor, when transliterated to the Latin alphabet, matches that of a former Chinese head of government.\n\n### 2. FACTS TO LOOK UP\n- The specific version of OpenCV where support for the Mask-RCNN model was added.\n- The list of contributors to that specific version of OpenCV.\n- A comprehensive list of former heads of government (premiers) of China and their transliterated names in the Latin alphabet.\n\n### 3. FACTS TO DERIVE\n- The matching between the names of OpenCV contributors and the names of former Chinese heads of government.\n\n### 4. EDUCATED GUESSES\n- Based on common knowledge, some of the well-known former Chinese heads of government might include names like Zhou Enlai, Li Peng, Zhu Rongji, and Wen Jiabao.\n\n\nHere is the plan to follow as best as possible:\n\n### Plan to Address the Request\n\n1. **Identify the OpenCV Version with Mask-RCNN Support**:\n    - **WebSurfer**: Search online to find the specific version of OpenCV that added support for the Mask-RCNN model. Note the version number.\n\n2. **Identify Contributors to the Specific OpenCV Version**:\n    - **WebSurfer**: Look up the list of contributors for the identified OpenCV version. This can often be found on GitHub under the release notes or commit history.\n\n3. **List of Former Chinese Heads of Government**:\n    - **WebSurfer**: Search for a comprehensive list of former Chinese heads of government (premiers) and obtain their names transliterated to the Latin alphabet.\n\n4. **Match Names**:\n    - **Assistant**: Compare the list of OpenCV contributors with the list of former Chinese heads of government to find a matching name.\n\n### Team Member Assignments\n- **WebSurfer** will handle steps 1, 2, and 3.\n- **Assistant** will handle step 4.\n\nLet's start with step 1 by having WebSurfer identify the OpenCV version that added support for the Mask-RCNN model.\n\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py:216: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  ledger_response = await self._model_client.create(", "role": "Orchestrator (thought)"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"We have not yet identified the specific OpenCV version that added support for the Mask-RCNN model, nor have we identified its contributors or compared them to former Chinese heads of government.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not repeating the same actions; we are still gathering initial information to address the request.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have a clear plan to move forward with defined steps, and we are executing the first step to gather necessary information.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to gather information about the specific OpenCV version that added support for the Mask-RCNN model.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Knowing the specific version of OpenCV will help us identify its contributors.\",\n    \"answer\": \"Please search online to find the specific version of OpenCV that added support for the Mask-RCNN model. Note the version number.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please search online to find the specific version of OpenCV that added support for the Mask-RCNN model. Note the version number.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "I typed 'OpenCV version that added support for the Mask-RCNN model' into '0 characters out of 2000'.\n\nHere is a screenshot of [OpenCV version that added support for the Mask-RCNN model - Search](https://www.bing.com/search?q=OpenCV+version+that+added+support+for+the+Mask-RCNN+model&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=6749248A87F34BD28E71168DC8EF09C0&ghsh=0&ghacc=0&ghpl=). The viewport shows 23% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"referrer\": \"origin-when-cross-origin\",\n        \"SystemEntropyOriginTrialToken\": \"A1L3tx5CzccqjN3lK6st/fXMwhf9EeokCPf8XCt0DVI8JPbg37BWq0zKvlqgkdm8YEUbthoGkC/xdR1+iIz4txAAAABxeyJvcmlnaW4iOiJodHRwczovL3d3dy5iaW5nLmNvbTo0NDMiLCJmZWF0dXJlIjoiTXNVc2VyQWdlbnRMYXVuY2hOYXZUeXBlIiwiZXhwaXJ5IjoxNzM5NzI0MzExLCJpc1N1YmRvbWFpbiI6dHJ1ZX0=\",\n        \"og:description\": \"Intelligent search from Bing makes it easier to quickly find what you\\u2019re looking for and rewards you.\",\n        \"og:site_name\": \"Bing\",\n        \"og:title\": \"OpenCV version that added support for the Mask-RCNN model - Bing\",\n        \"og:url\": \"https://www.bing.com/search?q=OpenCV+version+that+added+support+for+the+Mask-RCNN+model&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=6749248A87F34BD28E71168DC8EF09C0&ghsh=0&ghacc=0&ghpl=\",\n        \"fb:app_id\": \"3732605936979161\",\n        \"og:image\": \"http://www.bing.com/sa/simg/facebook_sharing_5.png\",\n        \"og:type\": \"website\",\n        \"og:image:width\": \"600\",\n        \"og:image:height\": \"315\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nHere is the transcribed text from the image:\n\n---\n\n**Top Section:**\n\nMicrosoft Bing (logo)\n\nSearch bar text: OpenCV version that added support for the Mask-RCNN model\n\nSearch | Copilot | Videos | Images | Maps | News | More | Tools | Deep search | (Sign in) | 3 (notifications bell) | (User icon with dropdown arrow)\n\n--- \n**Left Section:**\n\n**First Result:**\n\nGitHub (icon) \nGithub\nhttps://github.com › rhuthik › Mask-RCNN-Object_...\n\nGitHub - rhuthik/Mask-RCNN-Object_Detection: An ...\nMask R-CNN is an extension of Faster R-CNN that adds a branch for predicting segmentation masks on each Region of Interest (RoI), parallel to the existing branch for classification and bounding box regression. The implementation ...\n\nTags: Mask R-CNN | Tainan Airport | OpenCV Mask\n\n**Second Result:**\n\nGitHub (icon)\nGithub\nhttps://github.com › opencv › opencv › issues\n\nSupport Mask RCNN models · Issue #11412 · opencv/opencv\nApr 27, 2018 · @baranorbart, we've merged a PR with initial support of Mask-RCNN model from TensorFlow Object Detection API. thank you very much for your support!\n\nTags: Tainan Airport | Mask RCNN\n\n**Third Result:**\n\nVideos of OpenCV Version That Added Support For The Mask-RCNN ...\nbing.com › videos\n\nMask RCNN with Keras and Tensorflow (pt.1) Setup and Installation\n13:49  (thumbnail of video)\n104 views · May 8, 2020\nbilibili › xlkmm\n\nMask RCNN : Faster RCNN的进一步改进 【CV目标检测】 01\n24:16  (thumbnail of video)\n805 views · Oct 19, 2022\nbilibili › 论文检视学组\n\nMask R CNN - How to Install and Run | OpenCV Python | Computer Vision (2021)\n(orange and black thumbnail with code) \n\n---\n\n**Right Section:**\n\n**Section Header:**\n\nMask RCNN Implementation\n\n**First Card:**\n\nWhat is mask R-CNN architecture?\nMask R-CNN paper suggested two variants of architecture. In one variant, the input of mask generation CNN is passed after RoIAlign is applied (ResNet C4), but in another...\nMask R-CNN | ML - GeeksforGeeks\nwww.geeksforgeeks.org/mas...\n\n**Second Card:**\n\nHow can mask R-CNN be implemented?\nMask R-CNN can be implemented using both TensorFlow/Keras and PyTorch, with pre-trained models available in both frameworks. My research...\nImplementing Mask R-CNN in Pyth...\nwww.analyticsvidhya.com/bl...\n\n**Explore More Section:**\n\n(thumbnail of some images and diagrams)\nMask R-CNN Explained | Papers With Code\nhttps://paperswithcode.co...\n\n(thumbnail of a hardware representation)\nBuilding a Mask R-CNN from scratch in TensorFlow and...\nhttps://towardsdatascience...\n\n(See more results button)\n\n---\n\nThis encompasses the entire visible text and UI labels in the provided image.\n<Image>\nError processing publish message\nTraceback (most recent call last):\n  File \"/usr/local/lib/python3.11/site-packages/autogen_core/_single_threaded_agent_runtime.py\", line 410, in _process_publish\n    await asyncio.gather(*responses)\n  File \"/usr/local/lib/python3.11/site-packages/autogen_core/_single_threaded_agent_runtime.py\", line 402, in _on_message\n    return await agent.on_message(\n           ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_core/_base_agent.py\", line 113, in on_message\n    return await self.on_message_impl(message, ctx)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_core/_routed_agent.py\", line 485, in on_message_impl\n    return await h(self, message, ctx)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_core/_routed_agent.py\", line 149, in wrapper\n    return_value = await func(self, message, ctx)\n                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/base_agent.py\", line 81, in handle_incoming_message\n    await future\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/base_agent.py\", line 47, in _process\n    await self._handle_broadcast(message, ctx)\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py\", line 279, in _handle_broadcast\n    await super()._handle_broadcast(message, ctx)\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/base_orchestrator.py\", line 75, in _handle_broadcast\n    next_agent = await self._select_next_agent(message.content)\n                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py\", line 323, in _select_next_agent\n    ledger_dict = await self.update_ledger(cancellation_token)\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py\", line 216, in update_ledger\n    ledger_response = await self._model_client.create(\n                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/autogen_ext/models/openai/_openai_client.py\", line 497, in create\n    result: Union[ParsedChatCompletion[BaseModel], ChatCompletion] = await future\n                                                                     ^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/openai/resources/chat/completions.py\", line 1720, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/openai/_base_client.py\", line 1843, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/openai/_base_client.py\", line 1537, in request\n    return await self._request(\n           ^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/site-packages/openai/_base_client.py\", line 1638, in _request\n    raise self._make_status_error_from_response(err.response) from None\nopenai.BadRequestError: Error code: 400 - {'error': {'inner_error': {'code': 'ResponsibleAIPolicyViolation', 'content_filter_results': {'jailbreak': {'filtered': True, 'detected': True}}}, 'code': 'content_filter', 'message': \"The response was filtered due to the prompt triggering Azure OpenAI's content management policy. Please modify your prompt and retry. To learn more about our content filtering policies please read our documentation: \\r\\nhttps://go.microsoft.com/fwlink/?linkid=2198766.\", 'param': 'prompt', 'type': None}}\n  response = await client.create(messages)\n/workspace/scenario.py:116: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  response = await client.create(messages)\nFINAL ANSWER: Wen Jia Bao\nSCENARIO.PY COMPLETE !#!#\nRUN.SH COMPLETE !#!#", "role": "WebSurfer"}]

WebSurfer returned general and unrelated information due to poorly refined queries and failed to identify the specific version of OpenCV where Mask-RCNN support was added. This failure caused subsequent steps to proceed based on incorrect or incomplete data, leading to the wrong final answer.