下载地址:http://www.robots.ox.ac.uk/~vgg/data/vgg_face/vgg_face_dataset.tar.gz import threading import urllib import os def download_and_save(url, savename): try: urlopen = urllib.URLopener() fp = urlopen.open(url) data = fp.read() fp.close() fid = open(savename, 'w+b') fi...
VGG-Face dataset, described in [2], is not planned to be supported in this repo. If you are interested in models for VGG-Face, seekeras-vggface. References ZQ. Cao, L. Shen, W. Xie, O. M. Parkhi, A. Zisserman, VGGFace2: A dataset for recognising faces across pose and age, 20...
An implementation to clean large scale public face dataset graph-algorithmsface-recognitionface-datasetvggface2 UpdatedDec 12, 2019 Python Star4 Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., impleme...
PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age' - cydonia999/VGGFace2-pytorch
The VGG-Face CNN descriptors are computed using our CNN implementation based on the VGG-Very-Deep-16 CNN architecture as described in [1] and are evaluated on the Labeled Faces in the Wild [2] and the YouTube Faces [3] dataset.
(train_dataset, batch_size=64, shuffle=True, num_workers=4) # 加载测试数据,使用"train"作为测试集 test_dataset = datasets.Flowers102(root='../data/flowers102', split="train", download=True, transform=transform_test) # 实例化测试数据加载器 test_loader = DataLoader(test_dataset, batch_size...
Download the dataset COCO2017. We use COCO2017 as training dataset in this example by default, and you can also use your own datasets. First, install Cython ,pycocotool and opencv to process data and to get evaluation result. pip install Cython pip install pycocotools pip install opencv-pyt...
the estimation of the head pose angle that represents the relative orientation of the human face in video frames. All these calculations are done on human faces detected and cropped from video frames, where 10, 20, and 30 frames were extracted from each video. FF++ dataset was used to train...
VGGFace2 datasetIn this study, developments in face recognition are examined. Some methods are presented to increase the accuracy rate in face recognition by using transfer learning with VGGFace2 dataset and 4 different CNN models. While some of these tested offers decreased the accuracy rate, some...
VGGFace2 Dataset for Face Recognition (website) The dataset contains 3.31 million images of 9131 subjects (identities), with an average of 362.6 images for each subject. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (...