姿態預測Human Pose Estimation

深度學習中影像辨識技術用於捕捉人體動作姿態，所用到的一些技術原理還有應用模型方法，其中包含VGGNet, 物件偵測YOLOv3, 姿態Openpose, Pose Proposal Networks, 3D pose baseline; 再加上應用在3D動畫會用到的技術: MMD

4 Followers


Day07 MMD (MikuMikuDance)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-28 | 2 0 0 | MMD 3D Animate mikumikudance VPVP Blender

Day06 3D Pose Baseline(2D資訊預測3Dz軸資訊)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-27 | 2 0 0 | 3d pose baseline Deep Learning Computer Vision Human Pose Estimation AI

Day05 Pose Proposal Netwroks(更快速的人體姿態預估)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-27 | 2 0 0 | Computer Vision AI Human Pose Estimation Pose Proposal Networks Deep Learning

Day04 Openpose (人體姿態預估)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-25 | 2 0 0 | OpenPose AI Deep Learning Human Pose Estimation

Day03 YOLOv3 (即時物件偵測)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-24 | 2 0 1 | YOLO Deep Learning AI Object Detection

Day02 VGGNet (CNN延伸應用)

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-22 | 2 0 0 | VGGNet Deep Learning AI CNN

Day01 Transfer Learning 遷移式學習

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-22 | 3 2 1 | Transfer Learning Deep Learning AI Pretrained Learning TensorFlow

Day00

gueiyajhang 發表於 姿態預測Human Pose Estimation

2020-02-22 | 2 0 1 | Deep Learning OpenPose AI MMD YOLOv3 Object Detection