Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Computer_Vision
|
| gptkbp:available_on |
gptkb:Git_Hub
|
| gptkbp:can_be_used_with |
gptkb:Tensor_Flow
gptkb:Open_CV gptkb:Py_Torch |
| gptkbp:can_detect |
facial landmarks
body keypoints foot keypoints hand keypoints |
| gptkbp:community_support |
active user community
extensive documentation frequent updates research papers published tutorials available |
| gptkbp:developed_by |
gptkb:Carnegie_Mellon_University
|
| gptkbp:first_released |
gptkb:2016
|
| gptkbp:has_applications_in |
gptkb:sports_team
gptkb:Animation gptkb:robotics healthcare augmented reality gaming surveillance |
| gptkbp:has_features |
modular design
real-time processing flexible architecture multi-person tracking |
| gptkbp:has_limitations |
limited to specific body types
may struggle with fast movements not suitable for low-resolution images performance varies with lighting conditions requires a good camera setup requires calibration for accuracy requires significant computational power sensitivity to occlusions |
| https://www.w3.org/2000/01/rdf-schema#label |
Open Pose
|
| gptkbp:is_compatible_with |
gptkb:Linux
gptkb:mac_OS gptkb:Windows |
| gptkbp:is_used_in |
gptkb:academic_research
film production art installations educational tools interactive installations virtual reality applications commercial products fitness applications social media applications |
| gptkbp:requires |
gptkb:CUDA
|
| gptkbp:supports |
2 D pose estimation
3 D pose estimation |
| gptkbp:used_for |
real-time multi-person detection
|
| gptkbp:uses |
gptkb:neural_networks
|
| gptkbp:written_in |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:Stanford_Vision_Lab
|
| gptkbp:bfsLayer |
5
|