from ..utils import common_annotator_call, annotator_ckpts_path, HF_MODEL_NAME, DWPOSE_MODEL_NAME, create_node_input_types import comfy.model_management as model_management import os, sys import subprocess, threading #Ref: https://github.com/ltdrdata/ComfyUI-Manager/blob/284e90dc8296a2e1e4f14b4b2d10fba2f52f0e53/__init__.py#L14 def handle_stream(stream, prefix): for line in stream: print(prefix, line, end="") def run_script(cmd, cwd='.'): process = subprocess.Popen(cmd, cwd=cwd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1) stdout_thread = threading.Thread(target=handle_stream, args=(process.stdout, "")) stderr_thread = threading.Thread(target=handle_stream, args=(process.stderr, "[!]")) stdout_thread.start() stderr_thread.start() stdout_thread.join() stderr_thread.join() return process.wait() class Media_Pipe_Face_Mesh_Preprocessor: @classmethod def INPUT_TYPES(s): return create_node_input_types( max_faces=("INT", {"default": 10, "min": 1, "max": 50, "step": 1}), #Which image has more than 50 detectable faces? min_confidence=("FLOAT", {"default": 0.5, "min": 0.01, "max": 1.0, "step": 0.01}) ) RETURN_TYPES = ("IMAGE",) FUNCTION = "detect" CATEGORY = "ControlNet Preprocessors/Faces and Poses" def detect(self, image, max_faces, min_confidence, resolution=512): try: import mediapipe except ImportError: run_script([sys.executable, '-s', '-m', 'pip', 'install', 'mediapipe']) run_script([sys.executable, '-s', '-m', 'pip', 'install', '--upgrade', 'protobuf']) #Ref: https://github.com/Fannovel16/comfy_controlnet_preprocessors/issues/70#issuecomment-1677967369 from controlnet_aux.mediapipe_face import MediapipeFaceDetector return (common_annotator_call(MediapipeFaceDetector(), image, max_faces=max_faces, min_confidence=min_confidence, resolution=resolution), ) NODE_CLASS_MAPPINGS = { "MediaPipe-FaceMeshPreprocessor": Media_Pipe_Face_Mesh_Preprocessor } NODE_DISPLAY_NAME_MAPPINGS = { "MediaPipe-FaceMeshPreprocessor": "MediaPipe Face Mesh" }