{"id":17435,"date":"2025-03-27T15:32:01","date_gmt":"2025-03-27T13:32:01","guid":{"rendered":"https:\/\/spatialworld.fi\/?page_id=17435"},"modified":"2025-03-31T12:27:57","modified_gmt":"2025-03-31T09:27:57","slug":"post-pdal","status":"publish","type":"page","link":"https:\/\/spatialworld.fi\/sv\/post-pdal\/","title":{"rendered":"Pdal Transformer"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]\n
\n

\u00a0🚀 Announcing a Custom Transformer for PDAL in FME 🚀\u00a0<\/span><\/h1>\n<\/header>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”” text_direction=”default”]We are excited to introduce a dedicated custom transformer for PDAL (Point Data Abstraction Library) within FME: PDALPipelineApplier.<\/p>\n

📹 Check out the video demonstrating how the transformer is used to cluster a point cloud to help fix its classification!<\/p>\n

🔗 Learn More and Download : https:\/\/hub.safe.com\/publishers\/antoine\/transformers\/pdalpipelineapplier<\/a><\/p>\n

Why PDAL?
\nPDAL is a powerful PointCloud library widely used in the industry. Available through Conda, it is well-suited for low-code users thanks to its JSON pipelines.<\/p>\n

✨ PDAL complements FME excellently, especially for segment-level operations:
\n✔️ Normal Computation: Essential in point cloud processing.
\n✔️ Segmentation: Offers multiple clustering algorithms.
\n✔️ Ground Classification: Crucial for deriving all other classes in a point cloud.
\n✔️ Outlier Detection: Identifies and removes anomalies.<\/p>\n

Key Benefits
\n✅ Seamless Integration: Easily incorporate PDAL into FME.
\n✅ User-Friendly: PDAL\u2019s JSON-based pipeline fits perfectly with FME\u2019s low-code environment.<\/p>\n

Enhanced Experience with FME
\n🔍 Live Visualization: Instantly see your data and results as you build your workflows.
\n🔧 Fun and Productivity: FME\u2019s Visual Pipeline Building enhances your experience.
\n🌍 Reach: FME takes interoperability to the next level, adding formats and multiple transformers to combine your point cloud with raster and vector-based formats.<\/p>\n

🛠️Requirements
\nThis custom transformer requires a Conda environment for proper dependency management.<\/p>\n

🎮Get Started
\nExplore the new capabilities of PDAL within FME and enhance your point cloud processing tasks today.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][nectar_video_player_self_hosted video_mp4=”https:\/\/spatialworld.fi\/wp-content\/uploads\/2025\/03\/pdal.mp4″ align=”center” player_functionality=”default” border_radius=”none” box_shadow=”none” advanced_gradient_display_type=”linear”][\/vc_column][\/vc_row]","protected":false},"excerpt":{"rendered":"

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