Parallax Motion Camera Scheduler Extractor

Documentation

Class name: SaltLayerExtractor
Category: SALT/Scheduling/Parallax Motion
Output node: False

The SaltLayerExtractor node is designed for extracting specific layer data from a set of animation layers, focusing on parallax motion scheduling. It processes input layers to generate schedules for zoom, x, and y values, facilitating the creation of dynamic, multi-dimensional animations.

Input types

Required

float_layers
- A list of animation layers, where each layer contains frame data for zoom, x, and y values. This input is crucial for determining the specific layer's data to be extracted and scheduled.
- Comfy dtype: LIST
- Python dtype: List[List[float]]
layer_index
- An index specifying which layer's data to extract from the provided list of animation layers. This allows for targeted extraction of animation data, enabling precise control over the scheduling of parallax motion.
- Comfy dtype: INT
- Python dtype: int

Output types

zoom_schedule_lsit
- Comfy dtype: LIST
- unknown
- Python dtype: unknown
x_schedule_list
- Comfy dtype: LIST
- A list of x-coordinate values extracted from the specified animation layer, used for scheduling horizontal movement in parallax motion.
- Python dtype: List[float]
y_schedule_list
- Comfy dtype: LIST
- A list of y-coordinate values extracted from the specified animation layer, used for scheduling vertical movement in parallax motion.
- Python dtype: List[float]

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

class SaltLayerExtractor:

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "float_layers": ("LIST", ),
                "layer_index": ("INT", {"default": 0, "min": 0})
            }
        }

    RETURN_TYPES = ("LIST", "LIST", "LIST")
    RETURN_NAMES = ("zoom_schedule_lsit", "x_schedule_list", "y_schedule_list")
    FUNCTION = "extract"
    CATEGORY = "SALT/Scheduling/Parallax Motion"

    def extract(self, **kwargs):
        animation_data = kwargs.get("float_layers", [])
        layer_index = kwargs.get("layer_index", 0)

        if layer_index >= len(animation_data):
            raise ValueError("Layer index out of range.")

        selected_layer_data = animation_data[layer_index]
        zoom_values = [frame[0] for frame in selected_layer_data]
        x_values = [frame[1] for frame in selected_layer_data]
        y_values = [frame[2] for frame in selected_layer_data]

        print("\033[1m\033[94mOPAC Schedule Curves:\033[0m")
        log_curve("Zoom Values", zoom_values)
        log_curve("X Values", x_values)
        log_curve("Y Values", y_values)

        return zoom_values, x_values, y_values

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