307 lines
11 KiB
Python
307 lines
11 KiB
Python
import glob
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import json
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import os
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import shutil
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import traceback
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import uuid
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from datetime import datetime
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import cv2
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import numpy as np
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import torch
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import yaml
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from ultralytics import YOLO
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from comfy import model_management
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from qcloud_cos import CosConfig, CosClientError, CosServiceError
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from qcloud_cos import CosS3Client
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from .test_single_image import test_node
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import ffmpy
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video_extensions = ['webm', 'mp4', 'mkv', 'gif', 'mov']
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class FaceDetect:
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"""
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人脸遮挡检测
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"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image": ("IMAGE",),
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"main_seed": ("INT:seed", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
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"model": (["convnext_tiny", "convnext_base"],),
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"length": ("INT", {"default": 10, "min": 3, "max": 60, "step": 1}),
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"threshold": ("FLOAT", {"default": 94, "min": 55, "max": 99, "step": 0.1})
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},
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}
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RETURN_TYPES = ("IMAGE", "IMAGE", "STRING", "STRING", "STRING", "STRING", "STRING", "INT", "INT")
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RETURN_NAMES = ("图像", "选中人脸", "分类", "概率", "采用帧序号", "全部帧序列", "剪辑配置", "起始帧序号", "帧数量")
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FUNCTION = "predict"
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CATEGORY = "不忘科技-自定义节点🚩"
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def predict(self, image, main_seed, model, length, threshold):
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image, image_selected, cls, prob, nums, period = test_node(image, length=length, thres=threshold,
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model_name=model)
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print("全部帧序列", period)
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if len(period) > 0:
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start, end = period[main_seed % len(period)]
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config = {"start": start, "end": end}
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else:
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raise RuntimeError("未找到符合要求的视频片段")
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return (image, image_selected, cls, prob, nums, str(period), json.dumps(config), start, end - start+1)
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class FaceExtract:
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"""人脸提取 By YOLO"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image": ("IMAGE",),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("图片",)
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FUNCTION = "crop"
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CATEGORY = "不忘科技-自定义节点🚩"
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def crop(self, image):
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device = model_management.get_torch_device()
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image_np = 255. * image.cpu().numpy()
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model = YOLO(model=os.path.join(os.path.dirname(os.path.abspath(__file__)), "model", "yolov8n-face-lindevs.pt"))
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total_images = image_np.shape[0]
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out_images = np.ndarray(shape=(total_images, 512, 512, 3))
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print("shape", image_np.shape)
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print("aaaaa")
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idx = 0
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for image_item in image_np:
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results = model.predict(
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image_item,
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imgsz=640,
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conf=0.75,
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iou=0.7,
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device=device,
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verbose=False
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)
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n = 512
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r = results[0]
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if len(r.boxes.data.cpu().numpy()) == 1:
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y1, x1, y2, x2, p, cls = r.boxes.data.cpu().numpy()[0]
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face_size = int(max(y2 - y1, x2 - x1))
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center = (x1 + x2) // 2, (y1 + y2) // 2
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x1, x2, y1, y2 = center[0] - face_size // 2, center[0] + face_size // 2, center[1] - face_size // 2, \
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center[1] + face_size // 2
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template = np.ndarray(shape=(face_size, face_size, 3))
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template.fill(20)
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for a, a1 in zip(list(range(int(x1), int(x2))), list(range(face_size))):
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for b, b1 in zip(list(range(int(y1), int(y2))), list(range(face_size))):
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if (a >= 0 and a <= r.orig_img.shape[1]) and (b >= 0 and b <= r.orig_img.shape[0]):
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template[a1][b1] = r.orig_img[a][b]
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print(int(x1), int(x2), int(y1), int(y2))
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img = cv2.resize(template, (n, n))
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out_images[idx] = img
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idx += 1
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else:
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idx += 1
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cropped_face = np.array(out_images).astype(np.float32) / 255.0
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cropped_face = torch.from_numpy(cropped_face)
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return (cropped_face,)
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class COSDownload:
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"""腾讯云COS下载"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"cos_key": ("STRING", {"multiline": True}),
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("视频存储路径",)
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FUNCTION = "download"
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CATEGORY = "不忘科技-自定义节点🚩"
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def download(self, cos_key):
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if os.sep in cos_key or "/" in cos_key or "\\" in cos_key:
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os.makedirs(os.path.join(os.path.dirname(os.path.abspath(__file__)), "download", os.path.dirname(cos_key)),
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exist_ok=True)
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for i in range(0, 10):
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try:
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with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), "config.yaml"), encoding="utf-8",
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mode="r+") as f:
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yaml_config = yaml.load(f, Loader=yaml.FullLoader)
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config = CosConfig(Region=yaml_config["region"], SecretId=yaml_config["secret_id"],
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SecretKey=yaml_config["secret_key"])
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client = CosS3Client(config)
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response = client.download_file(
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Bucket=yaml_config["bucket"],
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Key=cos_key,
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DestFilePath=os.path.join(os.path.dirname(os.path.abspath(__file__)), "download",
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os.path.dirname(cos_key), os.path.basename(cos_key)))
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break
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except CosClientError or CosServiceError as e:
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print(f"下载失败 {e}")
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return (os.path.join(os.path.dirname(os.path.abspath(__file__)), "download", os.path.dirname(cos_key),
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os.path.basename(cos_key)),)
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class COSUpload:
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"""腾讯云COS上传"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"path": ("STRING", {"multiline": True}),
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("COS文件Key",)
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FUNCTION = "upload"
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CATEGORY = "不忘科技-自定义节点🚩"
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def upload(self, path):
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for i in range(0, 10):
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try:
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with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), "config.yaml"), encoding="utf-8",
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mode="r+") as f:
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yaml_config = yaml.load(f, Loader=yaml.FullLoader)
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config = CosConfig(Region=yaml_config["region"], SecretId=yaml_config["secret_id"],
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SecretKey=yaml_config["secret_key"])
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client = CosS3Client(config)
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response = client.upload_file(
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Bucket=yaml_config["bucket"],
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Key="/".join(
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[yaml_config["subfolder"], path.split("/")[-1] if "/" in path else path.split("\\")[-1]]),
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LocalFilePath=path)
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break
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except CosClientError or CosServiceError as e:
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print(e)
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return ("/".join([yaml_config["subfolder"], path.split("/")[-1] if "/" in path else path.split("\\")[-1]]),)
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class VideoCut:
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"""FFMPEG视频剪辑 -- ！有卡顿问题 暂废弃"""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"config": ("STRING",),
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"video_path": ("STRING",),
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"mod": ("INT",),
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"fps": ("FLOAT",),
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"period_length": ("INT", {"default": 10, "min": 4, "max": 100, "step": 1, "forceInput": True})
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},
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("视频路径",)
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FUNCTION = "cut"
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# OUTPUT_NODE = False
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CATEGORY = "不忘科技-自定义节点🚩"
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def cut(self, config, video_path, mod, fps, period_length):
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# 原文件名
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origin_fname = ".".join(video_path.split(os.sep)[-1].split(".")[:-1])
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# 配置获取
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mul = mod / fps
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print("fps", fps)
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config = json.loads(config)
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if len(config.keys()) == 0:
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return ("无法生成符合要求的片段",)
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start, end = config["start"], config["end"]
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# 新文件名 复制改名适配ffmpeg
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uid = uuid.uuid1()
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temp_fname = os.sep.join([*video_path.split(os.sep)[:-1], "%s.%s" % (str(uid), video_path.split(".")[-1])])
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try:
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shutil.copy(video_path, temp_fname)
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except:
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return ("请检查输入文件权限",)
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video_path = temp_fname
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# 组装输出文件名
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output_name = (".".join([*video_path.split(os.sep)[-1].split(".")[:-2],
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video_path.split(os.sep)[-1].split(".")[-2] +
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"_output_%%03d_%s" % datetime.now().strftime('%Y%m%d_%H%M%S'),
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video_path.split(os.sep)[-1].split(".")[-1]]))
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output = (os.sep.join([*video_path.split(os.sep)[:-1], output_name])
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.replace(os.sep.join(["ComfyUI", "input"]), os.sep.join(["ComfyUI", "output"])).replace(" ", ""))
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#调用ffmpeg
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ff = ffmpy.FFmpeg(
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inputs={video_path: ['-accurate_seek']},
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outputs={output: [
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'-f', 'segment',
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'-ss', str(round(start * mul, 3)),
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'-to', str(round(end * mul, 3)),
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'-segment_times', str(period_length),
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'-c', 'copy',
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'-map', '0',
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'-avoid_negative_ts', '1'
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]}
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)
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print(ff.cmd)
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ff.run()
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# uuid填充改回原文件名
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try:
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os.remove(temp_fname)
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except:
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pass
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try:
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files = glob.glob(output.replace("%03d", "*"))
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for file in files:
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shutil.move(file, file.replace(str(uid), origin_fname))
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files = glob.glob(output.replace(str(uid), origin_fname).replace("%03d", "*"))
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return (str(files),)
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except:
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files = glob.glob(output.replace("%03d", "*"))
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traceback.print_exc()
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return (str(files),)
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# Add custom API routes, using router
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from aiohttp import web
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from server import PromptServer
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@PromptServer.instance.routes.get("/hello")
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async def get_hello(request):
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return web.json_response("hello")
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# A dictionary that contains all nodes you want to export with their names
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# NOTE: names should be globally unique
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NODE_CLASS_MAPPINGS = {
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"FaceOccDetect": FaceDetect,
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"FaceExtract": FaceExtract,
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"COSUpload": COSUpload,
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"COSDownload": COSDownload,
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"VideoCutCustom": VideoCut
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}
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# A dictionary that contains the friendly/humanly readable titles for the nodes
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NODE_DISPLAY_NAME_MAPPINGS = {
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"FaceOccDetect": "面部遮挡检测",
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"FaceExtract": "面部提取",
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"COSUpload": "COS上传",
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"COSDownload": "COS下载",
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"VideoCutCustom": "视频剪裁"
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}
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