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FME Hub user takashi.pss just uploaded a new template to the FME Hub.PLATEAU標準製品仕様書第4.x版に基づいて作成された建築物モデルCityGMLデータについて、位相一貫性、一部の属性等に関する品質検査を行います。 注1: 現時点では標準製仕様書の品質要求No.L-bldg-03「LOD3建築物の開口部が境界面内にあること」、および、標準製品仕様書第3.x版,4.x版で追加され品質要求についての検査処理は未実装です。注2: 3次メッシュ区画境界をまたぐ建築物の所属先メッシュ区画 (ファイル) の判定にあたって使用した3次メッシュ区画境界座標の精度が低い (有効桁数が小さい) 場合、このツールは異なる判定をして「図郭不正」エラーを検出することがあります。使用したデータの精度に依存することなので「図郭不正」エラーが検出されても不合格とはしませんが、標準製品仕様書の規定に基づいて所属先ファイルが決定されていることを再確認してください。使用方法や検査結果についてのお問い合わせは、次のアドレスあてのメールでお願いします。plateau-helpdesk@aigid.jp 今後も必要に応じて、ワークスペースの機能追加、改良をし、FME Hubを更新することがあります。FME Hubを更新した場合は、Slack PLATEAUコミュニティ の「2024技術支援 チャンネル」でお知らせしますので、適宜ダウンロードしてお手元の環境も更新してください。 このワークスペースはいつまでもご利用になれますが、上記のメールやSlackによるサポートは2024年度末で終了します。あらかじめご承知おきくだいますよう、お願いいたします。Would you like to know more? Click here to find out more details!

FME Hub user sids_halton just uploaded a new template to the FME Hub.The Environmental Registry of Ontario (ERO) website is a platform provided by the Ontario government of Canada that allows the public to stay informed about environmental matters and participate in decision-making processes. It allows public to search for various environmental notices, proposals, and decisions. This information is valuable for individuals, organizations and businesses interested in how government decisions might impact the environment in Ontario. Extracting data from ERO platform involves interacting with the website's search engine, navigating multiple pages of results, and accessing detailed spatial and non-spatial information within each record. Manually navigating through pages and pulling relevant information can be time-consuming. This workspace demonstrates how to automate the data extraction process from the ERO website using FME Workbench and output the results into a spatial format such a

Blogger Tiana Warner just posted a new article to the FME Blog.Title: 5 Ways to Apply for an FME License GrantSummary: Learn how students, nonprofits, and others can apply for a free FME license through the FME Grant Program.Introduction: Resources shouldn’t prevent you from making an incredible impact. To ensure everyone can access the data tools they need, we are pleased to offer free FME licenses for education, nonprofits, and more. We offer 4 types of licenses through the FME Grant Program.Would you like to know more? Click here to read this new article!

FME Hub user oliver.morris just uploaded a new transformer to the FME Hub.OverviewThis transformer works with Azure OpenAI and supports vision models including GPT4 and GPT4o. This transformer enables FME to pass images to the model and answer questions about the images with a text response.An Azure OpenAI deployment is required, including an API Key. Azure OpenAI OverviewMore information about the models, including limitations: https://platform.openai.com/docs/guides/visionCurrently this transformer supports JPG, JPEG and PNG file formats of any size or dimension.This is a ‘no cost’ Publisher Tensing License: It has no license restrictions.If you have any questions regarding this transformer please email uk@avineon-tensing.comTensing is a partner of Safe Software and a Value Added Reseller, with over 80 FME Certified Professionals and FME Certified Trainers in the Netherlands, UK, France and Belgium. Tensing provides bespoke training services, consultancy and technical support for bot

FME Hub user sids_halton just uploaded a new template to the FME Hub.The Environmental Registry of Ontario (ERO) website is a platform provided by the Ontario government of Canada that allows the public to stay informed about environmental matters and participate in decision-making processes. It allows public to search for various environmental notices, proposals, and decisions. This information is valuable for individuals, organizations and businesses interested in how government decisions might impact the environment in Ontario. Extracting data from ERO platform involves interacting with the website's search engine, navigating multiple pages of results, and accessing detailed spatial and non-spatial information within each record. Manually navigating through pages and pulling relevant information can be time-consuming. This article demonstrates how to automate the data extraction process from the ERO website using FME Workbench and output the results into a spatial format such

Blogger Tiana Warner just posted a new article to the FME Blog.Would you like to know more? Click here to read this new article!

GIS (StackExchange) user ravsun just made a new post with the tags: arcgis-desktop, fme-transformer.Would you like to know more? Click here to find out more details!StackExchange content licensed as: CC BY-SA 4.0

Blogger Tiana Warner just posted a new article to the FME Blog.Would you like to know more? Click here to read this new article!

GIS (StackExchange) user Yahya Ghassoun just made a new post with the tags: fme-form, fme-transformer.Would you like to know more? Click here to find out more details!StackExchange content licensed as: CC BY-SA 4.0

FME Hub user sanaeatsafe just uploaded a new transformer to the FME Hub.DescriptionThis transformer leverages the Cityworks REST API to send employee labour costs to work orders within Cityworks from FME. It is designed to be used with an authenticated web connection to Cityworks.DetailsThis transformer uses an HTTPCaller to make a call to Cityworks REST API. The API returns a response body that is parsed and made into attributes using JSONExtractor. Additional information and context can be found in the _response_body attribute. Tester transformers reroute Cityworks generic error page in addition to Error and Warning messages to the <Rejected> port. Additional parameters can be provided in the Additional Request Parameters field to send a more detailed request to Cityworks. Would you like to know more? Click here to find out more details!

FME Hub user dmitribagh just uploaded a new transformer to the FME Hub.The transformer enables importing of USDZ files into FME using Blender as an intermediary. This transformer converts USDZ files to a format that FME can read (Collada), preserving the geometry, colors, and textures of the original model.InputThe transformer accepts USDZ files as input. These files can be imported from your local file system.OutputThe output is an FME-native 3D model representation.ParametersPath to BlenderThe file path to the Blender executable. Ensure this points to the Blender application on your system to enable the conversion.USDZ file(s)The file path(s) to the USDZ file(s) that you want to import.Usage notesBlender Installation: Ensure Blender (https://www.blender.org) is installed on your system and the path to the Blender executable is correctly set in the transformer parameters.Material Properties: While Collada supports various material properties, not all properties from USDZ may be accura

FME Hub user lizatsafe just uploaded a new template to the FME Hub.Purpose & ObjectivesThis workspace demonstrates how to read data from a Microsoft Excel workbook containing employee information, filter for active employees using a transformer, and write the filtered data to a new worksheet in the same workbook.Key TransformersTester: Used to filter the data based on conditional statementsData Source(s) - Reader Feature TypeEmployeeRecord.xlsx Microsoft Excel - Employees worksheetData Output - Writer Feature TypeEmployeeRecord.xlsx Microsoft Excel - Newly created Active worksheetParameters:Drop Existing Sheet set to Yes (the sheet will be dropped and recreated each time the workspace is run)CustomizationTo customize this workspace, it is recommended to build the workspace from scratch as your dataset will have different attributes and schema (structure). Instructions to build this workspace: Getting Started with FME Form: Working with Table/Tabular Data. Additional ResourcesMicros

FME Hub user dmitribagh just uploaded a new transformer to the FME Hub.The transformer uses OpenCV’s inpainting functionality to fill in missing or damaged parts of a raster image. This transformer is useful for tasks such as repairing damaged images, or filling in Nodata values in aerial/satellite imagery. "Inpainting" is a term used in image processing to fill in missing or damaged parts of an image by interpolating the surrounding pixel information.Installing OpenCV Python libraryThe transformer needs OpenCV Python library installed. Use the following syntax to install the library:On Windows:<your_FME_install_path>/fme.exe python -m pip install opencv-pythonOn Mac/Linux:<your FME install path>/fme python -m pip install opencv-pythonInputThe raster image(s) to be inpainted. The transformer will try to inpaint black pixels only, that is those having the RGB value set to 0,0,0, interpolating the new values based on the surrounding pixels.The transformer works with RGB24, R

GIS (StackExchange) user GIS Noh just made a new post with the tags: arcgis-pro, features, esri-geodatabase, geopackage, fme-transformer.Would you like to know more? Click here to find out more details!StackExchange content licensed as: CC BY-SA 4.0

FME Hub user davekazemi just uploaded a new transformer to the FME Hub.The Easy DateTimeConverter transformer is designed to handle and convert datetime from various random formats into a standard consistent date format. This is particularly useful for data integration and transformation workflows where date consistency is crucial. Would you like to know more? Click here to find out more details!

FME Hub user davekazemi just uploaded a new transformer to the FME Hub.The Easy DateTimeConverter transformer is designed to handle and convert datetime from various random formats into a standard consistent date format. This is particularly useful for data integration and transformation workflows where date consistency is crucial. Would you like to know more? Click here to find out more details!

FME Hub user takashi.pss just uploaded a new template to the FME Hub.PLATEAU標準製品仕様書第4.x版に基づいて作成されたCityGMLデータについて、XML文書の妥当性、定義域等に関する品質検査を行います。品質要求L03の検証結果について標準製品仕様書に規定されている品質要求L03の検証では、本来、各都市の拡張製品仕様書における応用スキーマで定義されていない地物型をエラーとして検出しなければなりません。 しかし、FMEによる自動検査処理においては、拡張製品仕様書でどのような地物型の定義が追加されているかを認識することができないため、本ワークスペースによるL03検証では標準製品仕様書で定義されていない地物型の要素が都市モデルの子要素として現れた場合は、拡張製品仕様書での定義如何に関わらずエラーとして検出します。 ただし、PLATEAU VIEWに登録するための自動検査処理においては、L03のエラーは検査の合否判定には使わないこととします (CMS登録時の自動品質検査の結果がL03エラーだけの場合は不合格とせず、可視化用データ変換処理に進みます)。 品質要求L03にかかるエラーが生じた場合は、拡張製品仕様書の応用スキーマにおいてその地物型を定義すべきであることを促す警告であると解釈してください。 使用方法や検査結果についてのお問い合わせは、次のアドレスあてのメールでお願いします。plateau-helpdesk@aigid.jp 今後も必要に応じて、ワークスペースの機能追加、改良をし、FME Hubを更新することがあります。FME Hubを更新した場合は、Slack PLATEAUコミュニティ の「2024技術支援 チャンネル」でお知らせしますので、適宜ダウンロードしてお手元の環境も更新してください。 このワークスペースはいつまでもご利用になれますが、上記のメールやSlackによるサポートは2024年度末で終了します。あらかじめご承知おきくだいますよう、お願いいたします。Would you like to know more? Click here to find out more details!

FME Hub user davekazemi just uploaded a new transformer to the FME Hub.The Easy DateTimeConverter transformer is designed to handle and convert datetime from various random formats into a standard, consistent date format. This is particularly useful for data integration and transformation workflows where date consistency is crucial. Would you like to know more? Click here to find out more details!

FME Hub user dmitribagh just uploaded a new transformer to the FME Hub.The transformer enables importing of GLTF and GLB files into FME using Blender as an intermediary. This transformer converts GLTF files to a format that FME can read (Collada), preserving the geometry, colors, and textures of the original model.InputThe transformer accepts GLTF (GLB) files as input. These files can be imported from your local file system.OutputThe output is an FME-native 3D model representaion.ParametersPath to BlenderThe file path to the Blender executable. Ensure this points to the Blender application on your system to enable the conversion.glTF file(s)The file path(s) to the GLTF or GLB file(s) that you want to import.Usage notesBlender Installation: Ensure Blender (https://www.blender.org) is installed on your system and the path to the Blender executable is correctly set in the transformer parameters.Material Properties: While Collada supports various material properties, not all properties fro

FME Hub user nordpil just uploaded a new web_connection to the FME Hub.Lastkajen is the service from Trafikverket (The Swedish Transport Administration) to download and query the NVDB (Swedish National road database).To sign in you first need to create an account and accept the license agreement.For more information, see:https://lastkajen.trafikverket.se/aboutapihttps://www.nvdb.se/sv/kund/hamta-data-pa-lastkajen/Would you like to know more? Click here to find out more details!

FME Hub user dmitribagh just uploaded a new transformer to the FME Hub.The transformer creates high-quality renderings of 3D models using Blender. It allows you to customize various aspects of the rendering process, including light settings, camera position, background color, and ground surface texturing. Blender must be installed in order to use the transformer: Download it from here: https://www.blender.org.The transformer generates and silently runs the Python script within Blender through a command line call. No FME Python adjustments are required.InputThe transformer accepts 3D data such as surfaces and solids.OutputThe output of the transformer is a high-quality rendered image of the input 3D model. The image is generated using Blender's rendering engine and can be customized to various resolutions and aspect ratios. Key features of the output include:- Customizable image resolution and orientation (landscape or portrait)- Configurable light and camera settings- Reflective and te

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub.This transformer reads health insurance transaction records stored in EDI 835 documents, using the edi-835-parser Python module. It outputs the following feature types:Interchange - document sender, receiver and dateFinancialInformation - amount, payment methodOrganizations - payer and payee infoClaims - records of each claim, including both patient and insurance subrecordsServices - services provided for each claim, with subrecords for adjustments as a list. The edi835_parent_id attribute contains the value of the parent claim's edi385_id, allowing the user to link the two if desiredThe transformer will also output schema records through the <Schema> port, for use with Dynamic writers.Would you like to know more? Click here to find out more details!

GIS (StackExchange) user Theodora just made a new post with the tags: file-geodatabase, fme-transformer.Would you like to know more? Click here to find out more details!StackExchange content licensed as: CC BY-SA 4.0

FME Hub user virtualcitymatt just uploaded a new transformer to the FME Hub.Creates a single temp folder using the TempPathnameCreator. Group By has been added so you can create multiple paths per group.That is all. Vote on this idea to have better support for creating temp files in FMEWould you like to know more? Click here to find out more details!

FME Hub user takashi.pss just uploaded a new template to the FME Hub.国土交通省が次のサイトで公開している都市計画決定GISデータ（CityGML形式）を OGC GeoPackage データセット (市町村別ファイル、フィーチャータイプ別テーブル) および GeoParquet データセット (市町村別フォルダー、フィーチャータイプ別ファイル) に変換するワークスペース例です。 都市計画決定GISデータ 全国データダウンロードページhttps://www.mlit.go.jp/toshi/tosiko/toshi_tosiko_tk_000087.html変換結果テーブル名、属性名 (列名) について都市計画決定GISデータ (CityGML形式) に記述されているフィーチャータイプ名や主題属性名はキャメルケース (例: UrbanPlanningArea, validFrom) ですが、変換結果の GeoPackage テーブル名、GeoParquet ファイル名や主題属性名はスネークケース (例: urban_planning_area, valid_from) となります。コードリストの参照についてgml:CodeType 型の主題属性のうち、codeSpace 属性によって参照すべきコードリストの URL が指定されているもの (例: function, city) については、その URL に基づいてウェブ上で公開されているコードリストを自動的に取得・参照し、コードに対応する意味文字列 (description) を取得して元の主題属性の値を置き換えるとともに、元の属性名にサフィクス "_code" をつけた名前 (例: function_code, city_code) の属性を追加して元の値 (コード) を格納します。 注: ウェブ上のコードリストを取得できるよう、インターネットに接続している環境で実行してください。変換をサポートするフィーチャータイプUseDistrict : 用途地域 UrbanPlanningArea : 都市計画区域 AreaClassification : 区域区分 GenericCityObject : 立地適正化