No object named 'DensePoseROIHeads' found in 'ROI_HEADS' registry!

I have installed and working. But there is literally 0 documentation and examples.

in the same folder `densepose_rcnn_R_101_FPN_DL_s1x.yaml` located
in the same folder `Base-DensePose-RCNN-FPN.yaml` located
in the same folder `model_final_844d15.pkl` located
in the same folder `R-101.pkl` located

my aim is giving a video and generating DensePose video like below

https://github.com/facebookresearch/detectron2/assets/19240467/6feb80f7-9513-4e53-be12-5cd218f0c1c5

my script is as below

```
import cv2
import torch
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog
from config import add_densepose_config
from detectron2.modeling import ROI_HEADS_REGISTRY

def setup_cfg():
cfg = get_cfg()
add_densepose_config(cfg)
cfg.merge_from_file("densepose_rcnn_R_101_FPN_DL_s1x.yaml")
cfg.MODEL.WEIGHTS = "model_final_844d15.pkl"
cfg.MODEL.DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
return cfg

def process_video(input_video_path, output_video_path, cfg):
video = cv2.VideoCapture(input_video_path)
width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = video.get(cv2.CAP_PROP_FPS)

output_video = cv2.VideoWriter(output_video_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))

predictor = DefaultPredictor(cfg)

while True:
ret, frame = video.read()
if not ret:
break

outputs = predictor(frame)
v = Visualizer(frame[:, :, ::-1], MetadataCatalog.get(cfg.DATASETS.TRAIN[0]), scale=1.2)
output = v.draw_instance_predictions(outputs["instances"].to("cpu"))
output_frame = output.get_image()[:, :, ::-1]

output_video.write(output_frame)

video.release()
output_video.release()

cfg = setup_cfg()

process_video("ex1.mp4", "pose1.mp4", cfg)
```

the error i get is like below

```
Traceback (most recent call last):
File "G:\magic_animate\compose_densepose\pose_maker.py", line 46, in
process_video("ex1.mp4", "pose1.mp4", cfg)
File "G:\magic_animate\compose_densepose\pose_maker.py", line 27, in process_video
predictor = DefaultPredictor(cfg)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\engine\defaults.py", line 282, in __init__
self.model = build_model(self.cfg)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\modeling\meta_arch\build.py", line 22, in build_model
model = META_ARCH_REGISTRY.get(meta_arch)(cfg)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\config\config.py", line 189, in wrapped
explicit_args = _get_args_from_config(from_config_func, *args, **kwargs)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\config\config.py", line 245, in _get_args_from_config
ret = from_config_func(*args, **kwargs)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\modeling\meta_arch\rcnn.py", line 77, in from_config
"roi_heads": build_roi_heads(cfg, backbone.output_shape()),
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\detectron2\modeling\roi_heads\roi_heads.py", line 43, in build_roi_heads
return ROI_HEADS_REGISTRY.get(name)(cfg, input_shape)
File "G:\magic_animate\compose_densepose\detectron2\venv\lib\site-packages\fvcore\common\registry.py", line 71, in get
raise KeyError(
KeyError: "No object named 'DensePoseROIHeads' found in 'ROI_HEADS' registry!"
Press any key to continue . . .
```

Start with the DensePose configuration files densepose_rcnn_R_101_FPN_DL_s1x.yaml and Base-DensePose-RCNN-FPN.yaml, then inspect how the DensePose components are registered before DefaultPredictor builds the model. Reproduce the DensePoseROIHeads registry error with the supplied script and document or correct the supported video-inference path, including a working example and clear completion criteria.

Written by the indexing model from the issue text.