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Efficiently load EXR image frames with progress tracking and versatile file path support for AI artists.
The LoadEXRFrames
node is designed to load a sequence of EXR image frames from a specified file path. This node is particularly useful for AI artists who work with high-quality image sequences, such as those used in visual effects and animation. By leveraging this node, you can efficiently load multiple frames of EXR images, which are known for their high dynamic range and color accuracy. The node supports both absolute file paths and frame substitution patterns, making it versatile for different workflows. It also includes progress tracking to provide feedback during the loading process, ensuring a smooth and user-friendly experience.
The filepath
parameter specifies the location of the EXR files to be loaded. It can be an absolute path to a single EXR file or a pattern that includes a frame number placeholder (e.g., frame_%04d.exr
). This flexibility allows you to load either a single image or a sequence of images. Ensure that the file path ends with .exr
or .EXR
to avoid errors. There is no default value, and the parameter must be provided.
The linear_to_sRGB
parameter determines whether the loaded EXR images should be converted from linear color space to sRGB color space. This is important for ensuring that the colors in the images are displayed correctly on standard monitors. The default value is True
, meaning that the conversion will be applied by default.
The start_frame
parameter defines the first frame number in the sequence to be loaded. This is useful when working with a specific range of frames within a larger sequence. The default value is 1001
, which is a common starting frame number in visual effects workflows.
The end_frame
parameter specifies the last frame number in the sequence to be loaded. Similar to start_frame
, this allows you to define the range of frames to be processed. The default value is 1001
, meaning that by default, only a single frame will be loaded.
The rgb
output parameter contains the loaded image data in RGB format. If a sequence of frames is loaded, this will be a concatenated tensor of all the frames. This output is essential for further processing or analysis in your AI workflows.
The mask
output parameter provides the mask data associated with the loaded EXR images. This can be useful for tasks that require segmentation or other mask-based operations. Similar to rgb
, this will be a concatenated tensor if multiple frames are loaded.
The batch_size
output parameter indicates the number of frames that were successfully loaded. This is useful for understanding the scope of the loaded data and for further batch processing.
.exr
or .EXR
to avoid errors.%04d
in the file path to load a sequence of frames.start_frame
and end_frame
parameters to load only the frames you need, which can save time and resources.linear_to_sRGB
conversion if you plan to display the images on standard monitors to ensure correct color representation..exr
or .EXR
extension..exr
or .EXR
.end_frame
is less than the start_frame
.start_frame
and end_frame
parameters to ensure a valid range.<filepath>
<framepath>
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