---
tags:
- Animation
- CameraControl
---

# Load CameraCtrl Poses (File) 🎭🅐🅓②
## Documentation
- Class name: `ADE_LoadCameraPoses`
- Category: `Animate Diff 🎭🅐🅓/② Gen2 nodes ②/CameraCtrl/poses`
- Output node: `False`

The `ADE_LoadCameraPoses` node is designed to load camera control poses from a specified file, facilitating the manipulation and animation of camera positions within the Animate Diff framework. It serves as a foundational element in creating dynamic and complex camera movements for animation sequences.
## Input types
### Required
- **`pose_filename`**
    - Specifies the filename from which camera control poses are to be loaded. This filename should correspond to a file containing the desired camera poses, enabling the node to retrieve and utilize these poses for animation purposes.
    - Comfy dtype: `COMBO[STRING]`
    - Python dtype: `str`
## Output types
- **`cameractrl_poses`**
    - Comfy dtype: `CAMERACTRL_POSES`
    - Outputs a list of camera control poses, which are structured as lists of floats representing the camera's position, orientation, and other relevant parameters in the animation context.
    - Python dtype: `list[list[float]]`
## Usage tips
- Infra type: `CPU`
- Common nodes: unknown


## Source code
```python
class LoadCameraPoses:
    @classmethod
    def INPUT_TYPES(s):
        input_dir = folder_paths.get_input_directory()
        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
        files = [f for f in files if f.endswith(".txt")]
        return {
            "required": {
                "pose_filename": (sorted(files),),
            }
        }

    RETURN_TYPES = ("CAMERACTRL_POSES",)
    CATEGORY = "Animate Diff 🎭🅐🅓/② Gen2 nodes ②/CameraCtrl/poses"
    FUNCTION = "load_camera_poses"

    def load_camera_poses(self, pose_filename: str):
        file_path = folder_paths.get_annotated_filepath(pose_filename)
        with open(file_path, 'r') as f:
            poses = f.readlines()
        # first line of file is the link to source, so can be skipped,
        # and the rest is a header-less CSV file separated by single spaces
        poses = [pose.strip().split(' ') for pose in poses[1:]]
        poses = [[float(x) for x in pose] for pose in poses]
        poses = set_original_pose_dims(poses, pose_width=CAM.DEFAULT_POSE_WIDTH, pose_height=CAM.DEFAULT_POSE_HEIGHT)
        return (poses,)

```