AFLW2000是一个用于头部姿态估计的数据集。它是一个包含2000个人脸图像的数据集,每个图像都有相应的头部姿态标签。这个数据集被广泛用于研究人脸姿态估计和相关领域的算法开发 (0)踩踩(0) 所需:1积分 android 3D赛车游戏源码-3DCarRace-codecanyon-project ...
AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is used for evaluation of 3D facial landmark detection models. The head poses are very diverse and often hard to be detected by a
AFLW2000数据库介绍 数据库下载地址:http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm 发现目前没有介绍AFLW2000数据库的博客。记录一下, 随便找了一个mat文件,读取了一下,内容如下所示,是一个dict,pt2d指的是2维平面21个特征点的坐标,他们的shape我都打印了出来。 Pose_Para前三个参数...
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution. - 3DDFA/benchmark_aflw2000.py at master · Hamidoullah/3DDFA
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The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution. - 3DDFA/benchmark_aflw2000.py at master · Dolphin1211/3DDFA
pts68_all_re = _load(osp.join(d, 'AFLW2000-3D-Reannotated.pts68.npy')) roi_boxs = _load(osp.join(d, 'AFLW2000-3D_crop.roi_box.npy'))def ana(nme_list): yaw_list_abs = np.abs(yaws_list) ind_yaw_1 = yaw_list_abs <= 30ind...
pts68_all_re = _load(osp.join(d, 'AFLW2000-3D-Reannotated.pts68.npy')) roi_boxs = _load(osp.join(d, 'AFLW2000-3D_crop.roi_box.npy'))def ana(nme_list): yaw_list_abs = np.abs(yaws_list) ind_yaw_1 = yaw_list_abs <= 30ind...
14 pts68_all_ori = _load(osp.join(d, 'AFLW2000-3D.pts68.npy')) 15 16 # reannonated 17 pts68_all_re = _load(osp.join(d, 'AFLW2000-3D-Reannotated.pts68.npy'))18 roi_boxs = _load(osp.join(d, 'AFLW2000-3D_crop.roi_box.npy')) ...