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Facilitates region selection in video frames for object tracking and analysis, capturing bounding box coordinates for further processing.
The SAMURAIBoxInputNode is designed to facilitate the selection of a specific region of interest within the first frame of a video sequence. This node is particularly useful for tasks that require tracking or analyzing a particular object throughout a video. By allowing you to draw a bounding box around the desired object, the node captures the coordinates of this box, which can then be used in subsequent processing steps, such as object segmentation or tracking. This functionality is crucial for applications where precise object localization is needed, and it simplifies the process by providing an intuitive interface for selecting the area of interest. The node is part of the SAMURAI suite, which is tailored for video analysis and object segmentation tasks, making it an essential tool for AI artists working with video content.
The image
parameter is the input video frames sequence that the node will process. It is a required parameter, as the node needs the video data to allow you to select a region of interest. This parameter should be a sequence of frames from a video, and it serves as the basis for the box selection process.
The start_frame
parameter specifies the frame number from which the box selection process will begin. It is an integer value with a default of 0, meaning the selection starts from the first frame by default. The minimum value is 0, and there is no explicit maximum value, but it should not exceed the total number of frames in the video. This parameter allows you to choose a specific frame to start the selection, which can be useful if the object of interest appears later in the video.
The refresh_input
parameter is an integer that acts as a trigger to refresh the box selection. It has a default value of 0 and a minimum value of 0. Changing this value prompts the node to allow a new box selection, which is useful if you need to adjust the region of interest after an initial selection. This parameter provides flexibility in refining the selection process without restarting the entire workflow.
The BOX
output parameter provides the coordinates of the selected bounding box. This output is crucial as it defines the region of interest that you have selected in the video frame. The coordinates are typically in the format of (x, y, width, height), which can be used in subsequent nodes for further processing, such as object tracking or segmentation.
The START_FRAME
output parameter indicates the frame number from which the processing should start. This output is important for maintaining consistency in the workflow, especially when the selection does not begin from the first frame. It ensures that subsequent nodes in the pipeline are aware of the starting point for processing the video sequence.
start_frame
parameter to skip to the frame where the object of interest first appears, saving time and computational resources.image
parameter is not connected or is empty.start_frame
value is set to a number greater than the total number of frames in the video.start_frame
is within this range.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.