这里我也放出推理 yolov7-face 人脸的代码: int main(int argc, char **argv) { if (argc < 2) { std::cout << "Usage: yolov7face wnnx_model_f image_f\n"; } std::string model_f = argv[1]; std::string data_f = argv[2]; YOLOv7Face *face_detector = new YOLOv7Face(model...
yolov7-pose每一个anchor输出的维度是5 + 51 + 1 (4个人脸框坐标+1个置信度+17个坐标点的x值+17个坐标点的y值+17个坐标点的置信度+1个类别)。预处理、输出层、损失函数、后处理均可以借鉴之前的代码。 yolov7-face/yolov7-pose yolov7-face-head face一共16个输出,除了坐标点回归不需要经过sigmoid...
界面层的设计以用户为中心,由Ui_MainWindow类构成,提供了简洁且功能完备的操作界面。用户可以通过这个界面与系统互动,比如开始或停止检测、查看检测结果等。界面层的设计关注于用户体验,确保用户可以轻松而直观地使用系统。 控制层作为系统的指挥中心,由MainWindow类负责实现。它通过槽函数和其他方法响应用户的操作,同时管...
path_type="current"))# 加载预训练的YOLOv8模型colors = get_cls_color(model.names)# 获取类别颜色app = QtWidgets.QApplication(sys.argv)# 创建QApplication对象window = MainWindow()# 创建MainWindow对象filename = abs_path("test_media/人脸活体...
NASVit: https://github.com/facebookresearch/NASViT MobileVIT: https://github.com/apple/ml-cvnets/blob/main/cvnets/models/classification/mobilevit.py DAB-DETR: https://github.com/IDEA-opensource/DAB-DETR, WIP DN-DETR: https://github.com/IDEA-opensource/DN-DETR https://github.com/jahongir...
NASVit:https://github.com/facebookresearch/NASViT MobileVIT:https://github.com/apple/ml-cvnets/blob/main/cvnets/models/classification/mobilevit.py DAB-DETR:https://github.com/IDEA-opensource/DAB-DETR, WIP https://github.com/jahongir7174/EfficientNetV2 ...
git clone https://github.com/facebookresearch/detectron2 cd detectron2 python setup.py install cd .. import matplotlib.pyplot as plt import torch import cv2 import yaml from torchvision import transforms import numpy as np from utils.datasets import letterbox ...
(assetsPath,"images","output");privatestaticvoidMain(string[]args){if(!Directory.Exists(outputFolder)){Directory.CreateDirectory(outputFolder);}varimgs=Directory.GetFiles(imagesFolder).Where(filePath=>Path.GetExtension(filePath)==".jpg");usingvarscorer=newYoloScorer<YoloCocoP5Model>(modelFilePath)...
从QtFusion库中导入get_cls_color函数,用于获取类别颜色fromPySide6importQtWidgets,QtCore# 导入PySide6库的QtWidgets和QtCore模块,用于创建GUI和处理Qt的核心功能fromYOLOv8ModelimportYOLOv8Detector# 从YOLOv8Model模块中导入YOLOv8Detector类,用于进行YOLOv8物体检测fromdatasets.LivenessFace.label_nameimportLabel...
YOLOv7 InstanceFace & Detection 🤔 Features Some highlights of YOLOv7 are: A simple and standard training framework for any detection && instance segmentation tasks, based on detectron2; Supports DETR and many transformer based detection framework out-of-box; ...