- tensorflow_Realtime_Multi-Person_Pose_Estimation VS openpifpaf
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS LoFTR
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS PeekingDuck
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS PoseEstimationForMobile
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS Single-Stage-Multi-person-Pose-Machines
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS Human-pose-estimation
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS evopose2d
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS pix2seq
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS keras_cv_stable_diffusion_to_tflite
- tensorflow_Realtime_Multi-Person_Pose_Estimation VS pytorch-openpose
tensorflow_Realtime_Multi-Person_Pose_Estimation Alternatives
Similar projects and alternatives to tensorflow_Realtime_Multi-Person_Pose_Estimation
-
openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
-
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
-
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.
-
PeekingDuck
A modular framework built to simplify Computer Vision inference workloads.
-
Single-Stage-Multi-person-Pose-Machines
A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)
-
PoseEstimationForMobile
:dancer: Real-time single person pose estimation for Android and iOS.
-
Human-pose-estimation
A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
-
evopose2d
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
-
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.
-
pix2seq
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion) (by google-research)
-
keras_cv_stable_diffusion_to_tflite
Scripts for converting Keras CV Stable Diffusion to tflite
-
pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
tensorflow_Realtime_Multi-Person_Pose_Estimation reviews and mentions
-
[Help] Multiple Keypoints Estimation
I've seen this kind of repo too : https://github.com/michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation
Stats
michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of tensorflow_Realtime_Multi-Person_Pose_Estimation is Jupyter Notebook.