wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-05-14 11:07:24 +08:00
Code Issues Actions 26 Packages Projects Releases Wiki Activity

Move detection nodes to detection category

Browse Source
This commit is contained in:
Alexis Rolland 2026-05-09 21:14:27 +08:00
parent 59c277c09c
commit 2a05226be8
1 changed files with 8 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
comfy_extras/nodes_sdpose.py
View File

@ -353,7 +353,8 @@ class SDPoseDrawKeypoints(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SDPoseDrawKeypoints",
category="image/preprocessors",
display_name="SDPose Draw Keypoints",
category="image/detection",
search_aliases=["openpose", "pose detection", "preprocessor", "keypoints", "pose"],
inputs=[
io.Custom("POSE_KEYPOINT").Input("keypoints"),
@ -421,7 +422,8 @@ class SDPoseKeypointExtractor(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SDPoseKeypointExtractor",
category="image/preprocessors",
display_name="SDPose Keypoint Extractor",
category="image/detection",
search_aliases=["openpose", "pose detection", "preprocessor", "keypoints", "sdpose"],
description="Extract pose keypoints from images using the SDPose model: https://huggingface.co/Comfy-Org/SDPose/tree/main/checkpoints",
inputs=[
@ -595,7 +597,8 @@ class SDPoseFaceBBoxes(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SDPoseFaceBBoxes",
category="image/preprocessors",
display_name="SDPose Face Bounding Boxes",
category="image/detection",
search_aliases=["face bbox", "face bounding box", "pose", "keypoints"],
inputs=[
io.Custom("POSE_KEYPOINT").Input("keypoints"),
@ -652,7 +655,8 @@ class CropByBBoxes(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CropByBBoxes",
category="image/preprocessors",
display_name="Crop By Bounding Boxes",
category="image/transform",
search_aliases=["crop", "face crop", "bbox crop", "pose", "bounding box"],
description="Crop and resize regions from the input image batch based on provided bounding boxes.",
inputs=[