- lightweight-human-pose-estimation.pytorch VS BlazePose-tensorflow
- lightweight-human-pose-estimation.pytorch VS openpose
- lightweight-human-pose-estimation.pytorch VS AlphaPose
- lightweight-human-pose-estimation.pytorch VS openpifpaf
- lightweight-human-pose-estimation.pytorch VS DeepLabCut
- lightweight-human-pose-estimation.pytorch VS kapao
- lightweight-human-pose-estimation.pytorch VS mediapipe
- lightweight-human-pose-estimation.pytorch VS posenet-python
- lightweight-human-pose-estimation.pytorch VS trt_pose
- lightweight-human-pose-estimation.pytorch VS tfjs
Lightweight-human-pose-estimation.pytorch Alternatives
Similar projects and alternatives to lightweight-human-pose-estimation.pytorch
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
-
BlazePose-tensorflow
A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
-
openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
-
kapao
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
-
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
-
UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single sta
lightweight-human-pose-estimation.pytorch reviews and mentions
-
Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
-
How do I properly dissect a Github repo of a ML model?
Using https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch as an example (or another repo, that was just one I found), could someone please give me a step by step process of how they read a repo for a research paper?
Stats
Daniil-Osokin/lightweight-human-pose-estimation.pytorch is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of lightweight-human-pose-estimation.pytorch is Python.
Popular Comparisons
Sponsored