| Since | 17.5 |
This node does nothing. It acts as a place to store common parameters or simplify wiring. It will not generate any work items, and will act like a bypassed node that passes work items on its inputs directly to its outputs.
| See also |
Creates and modifies array attributes on work items.
Copies attributes from work items in one branch onto work items in another branch.
Creates or sets an attribute on all incoming work items.
Removes attributes from work items.
Modifies dictionary attributes by adding key/value pairs, removing keys, or merging existing dictionaries
Copies attributes and fields between work items, global attributes, and output files
Create randomly-generated integer and float attributes on work items.
Reduces array attribute values to a single value.
Renames attributes on work items.
Parses attribute values from a file into work items.
Parses attribute values from a string, such as a file name.
Starts a feedback loop. TOP nodes within the block execute serially, optionally looping for each incoming work item.
Ends a feedback loop. TOP nodes within the block execute serially, optionally looping for each incoming work item.
Copies data from a CSV file into work item attributes.
Writes work item attributes to a CSV file.
The PDG scheduler for Thinkbox’s Deadline software.
Downloads the contents from one or more URLs into files.
Edits the variables set in the environment work item command lines execute in.
Issues warnings or errors when a condition is met.
Encodes a sequence of still images as a video file.
Extracts a sequence of still images from a video file.
Compress files into an archive.
Copies a file from one location to another, either at runtime or whenever the node generates.
Decompresses archive files specified by incoming work items into individual files.
Creates work items based on files that match a certain pattern.
Creates a range of work items based on files that match a certain pattern.
Deletes a file at a specified path.
Renames or moves a file.
Filters upstream work items by their attribute names or values
Conditionally filters upstream work items.
Filter upstream work items that fall within a specified frame or attribute range.
Filters upstream work items by their state
Generates work items with no attributes that run a command line.
Loads points or primitives from a SOP or geometry file into work item attributes or a temporary file.
Creates work items that cook a digital asset
Schedules work items using HQueue.
Starts a Houdini service block
Provides easy access to ImageMagick functionality such as mass image convert, resize, and image mosaics.
Controls the scheduling of in-process work items.
Invokes a compiled block on input geometry
Extracts data from JSON files and creates attributes
Performs various operations that produce JSON output
Utility TOP to Collect and Archive current HIP file dependencies
Merges one or more text files into a single file.
Labs Cut Geometry to Partitions
Cuts up incoming geometry
Diffs a variety of geometry, text and image files.
Extracts image metadata, such as the resolution, bit depth, color model, etc.
Partition work items used for file caching
Partitions and generates work items based on range and wedge values for file cache.
Filters one or multiple work items by specific attribute values.
Labs Generate from Imageplanes
Generates work items based on image planes found in an image
The base template for synthetic dataset pipelines.
Schedules work items on the local machine.
Trains a neural network for regression.
Starts a Maya service block
Merge all upstream work items
Creates work items based on matched nodes.
Starts a Nuke service block
Does nothing
Notify an OP node that some TOP work has completed
Provides easy access to the OpenImageIO’s command line tool, also known as oiiotool, to perform operations on images such as color space conversion, color mapping, resizing, text overlay, and box overlay.
Subnet output
Partitions work items based on their attributes
Partitions source items spatially using the bounding items.
Partitions work items into pairs, triples, etc
Partitions work items using existing comparisons
Partitions work items based on an expression
Partitions work items based on their frame
Partitions work items based on their index
Partitions work items based on their feedback loop iteration.
Partitions work items based on their node
Partition work items based on range values
Partitions work items spatially using axis-aligned bounding boxes.
Execute Perforce commands through PDG
Starts a Python service block
Partitions work items using a Python script
Generates work items using a Python script.
A Python-based programmable Scheduler for PDG.
Creates work items that run a Python script.
Creates a Python virtual environment using TOPs
Creates work items that cook an embedded Alembic ROP node
Creates work items that cook an embedded Composite ROP node
Creates work items that cook an embedded FBX ROP node
Creates work items that cook a ROP node or network.
Creates work items that cook an embedded Geometry ROP node
Creates work items that cook an embedded Image ROP node
Creates work items that cook an embedded Karma ROP node.
Creates work items that cook an embedded Mantra ROP node
Creates work items that cook an embedded OpenGL ROP node
Creates work items that cook an embedded USD ROP node
Extend the frame range of upstream work items and adds new work items as necessary
Generates work items for the specified range.
Connected to a remotely executing TOP graph and displays the nodes from that graph
Creates work items that render an IFD file with Mantra
Sends an email.
Ends a service block.
Sends code to a service block to execute.
Creates a PDG service.
Deletes a PDG service.
Resets a PDG service.
Starts a PDG service.
Stops a PDG service.
Creates ShotGrid entities
Deletes entities from ShotGrid
Downloads ShotGrid attachments
Finds ShotGrid entities
Starts a persistent ShotGrid command server
Updates shotgun entities
Uploads files to shotgun
Sorts work items by a list of attributes
Splits upstream items in two
Splits upstream items into two using a fixed count
Container for TOP nodes
Switch which between network branches
Cooks another TOP network.
Input to a TOP fetch-ed network
Writes text to a new file or appends to an existing file.
Schedules work items using Pixar’s Tractor.
Trains an OIDN model using preprocessed training and validation datasets.
Creates work items that request data from a URL.
Adds USD assets to the Asset Gallery.
Fetches metadata, dependencies, and external references for a LOP Node or file.
Creates work items from prims found in a USD stage.
Creates work items from file references found in a USD stage.
Modify asset path attribute values.
Creates work items that render a USD file.
Creates work items that render a USD file or LOP network
Waits for all upstream work items to complete.
Creates work items with varying attribute values.
Expands file lists or partitions into multiple work items
Import work items from a .json file or another TOP node.
Extracts data from XML into Work Item attributes