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FME Hub user kailinatsafe just uploaded a new transformer to the FME Hub.DescriptionThe ImageIdentifier is designed for use with Ollamas' Llava 7B parameter model, leveraging its API endpoint for image classification. It is intended for use with JPEG and PNG image formats.Installing Ollama and Llava 7BThis transformer will need an instance of Ollama running on a machine.OllamaWindows/Mac OS/Linux: https://ollama.com/downloadInstructions can be found here: https://github.com/ollama/ollama?tab=readme-ov-file#ollamaLlava 7B ModelInstructions: https://ollama.com/library/llava:7bDetailsThis transformer uses the URL from an Ollama instance and leverages Ollamas' Llava 7B API via its model. A prompt is used to make an HTTP GET Request. This is then returned to the user by attribute.Photo by Robson Hatsukami

FME Hub user donalmateer just uploaded a new transformer to the FME Hub.The ImageWatermarker allows you to add Watermark images, such as photographs, scanned maps, CAD blueprints, and rasterized PDFs.This transformer combines two image files (one base image, one watermark image) and overlays the Watermark onto the base image, allowing the user to choose the opaqueness, frequency, angle and scale of the Watermark.Created in FME Form 2024.1 build 24612.Would you like to know more? Click here to find out more details!

FME Hub user kailinatsafe just uploaded a new transformer to the FME Hub.This transformer creates a halo around an image – a gradual blend into the surrounding user-selected color, to create smooth effects and transitions from imagery to a background. To generate the halo, the transformer creates concentric buffers around the image area. Each buffer receives the same RGB value. Once buffers are rasterized, the transformer copies color values to the alpha band where they will represent the amount of transparency rather than colors. The higher the value, the more transparent a pixel will be moving outward of the project area. Created in FME Form 2024.1 build 24612. Requires MultiBufferer to be installed. Would you like to know more? Click here to find out more details!

FME Hub user conterra just uploaded a new template to the FME Hub.The 3D Solution Templates are a collection of FME Workspace Templates for the efficient processing of 3D data. They allow 3D experts to manage their 3D data and can be extended for specific use cases.The template is based on the master's thesis by Christoph Frey (HTW Dresden). It was published as an article and can be found here.If you have any questions or if you are looking for professional services support, please contact fme@conterra.de.Terms of use and license (con terra Technologies Components) are agreed upon by downloading this file.Workspace DescriptionThis Template shows how to convert simple CityGML 2.0 buildings to IFC4. The buildings can either be modelled as a whole through the class IfcBuildingElementProxy or by its components through the classes IfcRoof, IfcWall and IfcSlab. The template contains place

FME Hub user _fabian_ just uploaded a new web_connection to the FME Hub.Follow the Instructions to Register an Application in RMS to retrieve the client id / secret and insert them in the respectively fields of this template.Would you like to know more? Click here to find out more details!

FME Hub user joeluhlin just uploaded a new transformer to the FME Hub.The SolidOrientationRefiner transformer checks and corrects the orientation of surfaces in solid geometries. It ensures that each face’s normal points in the specified direction (either outward or inward from the solid structure) and that each face polygon’s vertex order follows a clockwise direction, ensuring consistent, valid geometry suitable for 3D modeling and rendering.Would you like to know more? Click here to find out more details!

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub.This transformer uses the pyx12 Python module to read X12 formatted data files, like those used for EDI 835 and 837 business data exchange. X12 data is hierarchical, but for easier usage, this transformer will output relational tables that include the links required to establish parent/child relationships. Schema features for the tables will also be output for use with Dynamic writers.To install the pyx12 library for use with FME, please follow the instructions found here The max Python version supported by pyx12 is 3.9, but you can make it 3.12 compliant (at least for the purposes of this transformer) after installation, by changing line 308 in C:\Users\<user>\Documents\FME\Plugins\Python\python312\pyx12\x12file.py from:self.fd_in = open(src_file_obj, 'U', encoding='ascii')to:self.fd_in = open(src_file_obj

FME Hub user bwn just uploaded a new transformer to the FME Hub.FeaturePrioritizerFeaturePrioritizer outputs features in a sorted order according to which Input Port they enter. Features that enter the OutputFirst Port, will be output first, and features that enter the OutputLast Port will be output last.This is useful for Transformers and Writers that need features to enter in a particular order. For example, Writers/FeatureWriters that rely on a separate Schema Feature to be the first to enter prior to the main data features to prevent a writing error, or Transformers that aggregates or merges groups of features and are set to only use one feature as the Attributes for the output etc.Would you like to know more? Click here to find out more details!

FME Hub user bwn just uploaded a new transformer to the FME Hub.FeatureExecutorFeatureExecutor easily allows workspace designers to directly insert a table of fixed data into the Workspace and auto-generate Features from it.The table format required is a block of text of tabular rows of delimited values. Typical use cases are for when there is a need to create directly within the Workspace data without having to read from external data sources Eg. A fixed lookup/data table directly insidethe Workspace, or to generate a sample of data for testing, to cross join Features to a fixed table, or to setup/copy examples of data from the Safe Forums etc.This simplifies creating multiple features with different attributes and different values per Feature within one Transformer.Auto-translation from Microsoft Excel Copy/Paste worksheet data directly into the Transformer's Text Data Box is supported. Any Ta

FME Hub user bwn just uploaded a new transformer to the FME Hub.FeatureCreatorFeatureCreator easily allows workspace designers to directly insert a table of fixed data into the Workspace and auto-generate Features from it.The table format required is a block of text of tabular rows of delimited values. Typical use cases are for when there is a need to create directly within the Workspace data without having to read from external data sources Eg. A fixed lookup/data table directly insidethe Workspace, or to generate a sample of data for testing, or to setup/copy examples of data from the Safe Forums etc.This simplifies creating multiple features with different attributes and different values per Feature within one Transformer.Auto-translation from Microsoft Excel Copy/Paste worksheet data directly into the Transformer's Text Data Box is supported. Any Tab characters detected in the Text will over

FME Hub user bwn just uploaded a new transformer to the FME Hub.AttributeTruncationCheckerThis Transformer compares Workspace Features to separate Reference Schema Features to find and report where Attribute value string widths exceed the maximum widths of the Reference Schema(s) Attributes/Fields. This allows workflows to detect in advance which Features and Attribute values will likely be Truncated during Writing.The Transformer must have input Reference Schema Feature(s), with it being recommended to use FeatureReader to generate these from a sample/production destination Schema. The workspace features being inspected must have either an Exposed Attribute set to values equal to the corresponding Feature Type Name value as the Schema Feature to compare against, or have this value able to be calculated through an FME expression, otherwise the Features will pass through the Transformer with no comparison/de

FME Hub user lizatsafe just uploaded a new template to the FME Hub.Purpose & ObjectivesThis workspace retrieves closed road JSON data from an API, fragments and flattens the JSON response into line features with attributes, and then writes the data out to a SpatiaLite database. Key TransformersCreator: Creates a single feature to trigger the workspaceHTTPCaller: Makes a GET request to the data sourceJSONFragmenter: Fragments JSON into FME features and attributesData Source(s) - Reader Feature TypeA GET request to Vancouver Open Data: https://opendata.vancouver.ca/api/explore/v2.1/catalog/datasets/road-ahead-current-road-closures/records?limit=5 Data Output - Writer Feature TypeVanRoads.sqlite SpatiaLiteParameters:Table Name: ClosedGeometry: db_linestring

FME Hub user lizatsafe just uploaded a new template to the FME Hub.Purpose & ObjectivesThis workspace demonstrates identifying street food vendor points that may be impacted by upcoming road construction projects. It illustrates several common spatial and tabular data processing steps.Key TransformersBufferer: buffering line segments (representing noise impact areas from road construction)AttributeValidator: validating attribute valuesSpatialFilter: finding points that intersect polygons (the buffered construction areas)Tester: filtering features based on attribute valuesFeatureJoiner: joining features based on a shared keyAttributeManager: removing and renaming attributesData Source(s) - Reader Feature Typeroad-ahead-upcoming-projects.shp Esri Shapefile - road-ahead-upcoming-projects worksheetfo

FME Hub user ardadurmus just uploaded a new transformer to the FME Hub.OvertureMaps Downloader custom transformer allows FME users to directly access and download geospatial data from the OvertureMaps Foundation using DuckDB a high-performance SQL-based analytical database system. Runs with Executable file or command line system variable duckdb or duckdb.exe using System Caller. This transformer retrieving and storing overture map data in a local environment or temp folder that can be accesible during your process enabling integration with FME workflows for further spatial analysis transformation or export into other formats. It's designed for users who need fast access to large-scale open-source geospatial datasets in a seamless and efficient way.Would you like to know more?

FME Hub user takashi.pss just uploaded a new template to the FME Hub.PLATEAU標準製品仕様書4.x版に基づいて作成された地形モデルCityGMLデータ (TINRelief) について、位相一貫性等に関する品質検査を行います。 注1: MassPointRelief (gml:MultiPoint) で記述された地形データには対応していません。 注2: TINを構成する三角形の辺が隣接する三角形の辺と共有されていない場合 (辺の一方または両方の頂点が鉛直方向でずれている場合も含む) に「共有先のない辺」エラーが検出されますが、データ作成範囲内に部分的に原典データが存在しない領域 (水域) が穴のように存在した場合に、その境界を構成する三角形の辺も「共有先のない辺」として誤認識されることがあります。この検査項目は標準製品仕様書において品質要求として規定されたものでもありませんので、このエラーが検出されても検査不合格とはしませんが、水域境界以外ではこのエラーが生じていないことをご確認ください。また、「共有先のない辺を検出する」パラメーターに No を設定することにより、「共有先のない辺」エラーの検出を省略することもできます。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。

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橋梁、トンネル、地下街モデルCityGMLデータについて、位相一貫性に関する品質検査を行います。 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 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土砂災害警戒区域CitGMLデータについて、位相一貫性等に関する品質検査を行います。 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 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洪水・津波・高潮・内水浸水想定区域モデルCitGMLデータについて、位相一貫性等に関する品質検査を行います。 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 martin_ekstrand just uploaded a new transformer to the FME Hub.Uses the ArcGIS for Python API to get information for different item types (currently supported: Layers, WebMaps/Scenes, Web mapping applications, Experiences, Dashboards and Story maps).It outputs metadata for each item and also the connections between items. The AllPortalItems output port outputs one feature per unique item. The other output ports outputs one unique feature per Portal item ID and connection. For example, a Web Map using 3 services will be output as 3 features in the Web Map output port.Each item type is meant to be used as input for the ArcGISAutomagicDocumenterReportGenerator.This transfomer is part of the ArcGISAutomagicDocumenter series. It is meant to be used together with the other transformers, but it can also be used on is own.Sample workflow for the ArcGISAutomagicDocumenter series can be found

FME Hub user martin_ekstrand just uploaded a new transformer to the FME Hub.Fetches metadata for all tables in an ArcGIS Enterprise geodatabase.Outputs raw data and a metadata_html meant to be used as an optional input for ArcGISAutomagicDocumenterReportGenerator. If you want to create a custom metadata_html, you can use the raw data to overwrite the metadata_html attribute before connecting to ArcGISAutomagicDocumenterReportGenerator.This transfomer is part of the ArcGISAutomagicDocumenter series. It is meant to be used together with the other transformers, but it can also be used on is own.Sample workflow for the ArcGISAutomagicDocumenter series can be found hereNote: this transfomer can be very slow, especially for large databases - you may want to write the result to a database table instead, and use that table as input for the ReportGeneratorWould you like to know more?

FME Hub user martin_ekstrand just uploaded a new transformer to the FME Hub.Uses the ArcGIS Server Rest API to list all services data sources (Enterprise and file geodatabase tables) and publish sources (APRX/MXD).This transfomer is part of the ArcGISAutomagicDocumenter series. It is meant to be used together with the other transformers, but it can also be used on is own. It is meant to be used as an input for the ArcGISAutomagicDocumenterReportGeneratorSample workflow for the ArcGISAutomagicDocumenter series can be found hereWould you like to know more? Click here to find out more details!

FME Hub user martin_ekstrand just uploaded a new transformer to the FME Hub.This transfomer is part of the ArcGISAutomagicDocumenter series. It must be used together with the other transformers.Outputs an index.html file listing:Portal/Online items (currently supported: Layers, WebMaps/Scenes, Web mapping applications, Experiences, Dashboards and Story maps)Standalone ArcGIS Server services - ArcGIS database tables connectionDatabase tables, if you only use the ArcGISServerServices input, you will get a report for published tables. If you also use the SDE_tables_metadata input, you will get a report for all tables in each database, published or not.FME workspaces with an ArcGIS connection (reads or writes ArcGIS tables)In addition, each item (no matter which item type) will get it's own HTML report listing all connections found in both direc

FME Hub user mkriger just uploaded a new transformer to the FME Hub.SupervisedImageClassificatorOverviewThe SupervisedImageClassificator is a FME Custom Transformer designed for performing supervised image classification on raster datasets, such as satellite or aerial imagery, using machine learning techniques. This transformer automates the process of classifying pixels based on input raster bands and training polygons, producing a classified raster output. It enables users to train their own machine learning models and apply them to perform image classification.RequirementsR installed: Ensure that R is installed on your system. R Interpreter in FME: R must be properly integrated into FME by configuring the RCaller to use R as its interpreter. R Packages: Caret: Used for training machine learning models (install with install.packages("caret

FME Hub user ardadurmus just uploaded a new transformer to the FME Hub.Turkish National Topographic Grid System TransformerThis custom transformer generates national topographic map sheets for Turkey based on a given point or area. It uses the official Turkish national grid system to identify and create map sheets corresponding to the input location.Input: Point(s) Line(s) or Area(s)(polygon) within TurkeyOutput: National topographic map sheet(s) based on the national topographic grid system in various scales.Available Scales:1/100,0001/50,0001/25,0001/10,0001/5,0001/2,0001/1,0001/500Key Features:Works with both single points and larger areasAutomatically determines the correc

FME Hub user kketola just uploaded a new transformer to the FME Hub.Mass Fetches Sequence Number for Number of FeaturesAllows the ability to query Oracle once for a large group of sequence numbers to be used on the feature set instead of retrieving one by one so that the sequence might be used for multiple transformers and writers throughout the workspace. This is much more performant than querying the sequence for each feature. This is for the case that you need to use the sequence for multiple spots. For individual writes, there is an option in stock writers.Would you like to know more? Click here to find out more details!