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Facilitates loading image frames from specified folder for AI artists, streamlining workflow with automated retrieval and total count.
The LoadFrameFromFolder
node is designed to facilitate the loading of image frames from a specified folder. This node is particularly useful for AI artists who need to process a sequence of images, such as frames from a video, for further manipulation or analysis. By automating the retrieval of images from a directory, it streamlines the workflow, allowing you to focus on creative tasks rather than manual file handling. The node scans the given folder recursively, collecting all image files, and provides them as a list along with the total count of frames found. This functionality is essential for projects involving frame-by-frame processing, animation, or any scenario where a series of images needs to be loaded efficiently.
The file_path
parameter specifies the directory path where the image frames are stored. This path should be a string and can be set to allow multiline input for convenience. The node will recursively search this directory for all image files. The default value is set to "C:\\code\\warp\\19_cn_venv\\images_out\\stable_warpfusion_0.20.0\\videoFrames\\650571deef_0_0_1"
, but you can change it to any valid directory path where your frames are located. This parameter is crucial as it directs the node to the correct location to fetch the frames.
The Frames
output is a list of dictionaries, each containing the path to an image file and the total number of frames found. This list allows you to access each frame individually for further processing or analysis. The frames are provided in the order they are found in the directory, ensuring a sequential flow of images.
The Total_frames
output is an integer representing the total number of image frames found in the specified directory. This count is useful for understanding the scope of the dataset and for iterating through the frames in subsequent processing steps.
file_path
parameter is correctly set to the directory containing your image frames. Double-check the path for any typos or incorrect directory levels.Total_frames
output to manage loops or iterations in your workflow, ensuring you process each frame exactly once.<file_path>
file_path
is correct and that the directory contains image files. Ensure that the images have valid file extensions and are not hidden or inaccessible due to permissions.file_path
does not exist or is not accessible.file_path
for accuracy, ensuring it points to an existing directory. Confirm that you have the necessary permissions to access the directory and its contents.© Copyright 2024 RunComfy. All Rights Reserved.