- Dec 2018: [**Foot dataset and new paper released**](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/)!
- Sep 2018: [**Experimental single-person tracker**](doc/quick_start.md#tracking) for further speed up or visual smoothing!
- Jun 2018: [**Combined body-foot model released! 40% faster and 5% more accurate**](doc/installation.md)!
- Jun 2018: [**Python API**](doc/modules/python_module.md) released!
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@@ -93,10 +94,11 @@ This analysis was performed using the same images for each algorithm and a batch
5.[Quick Start](#quick-start)
6.[Output](#output)
7.[Speeding Up OpenPose and Benchmark](#speeding-up-openpose-and-benchmark)
8.[Send Us Failure Cases and Feedback!](#send-us-failure-cases-and-feedback)
9.[Authors and Contributors](#authors-and-contributors)
10.[Citation](#citation)
11.[License](#license)
8.[Foot Dataset](#foot-dataset)
9.[Send Us Failure Cases and Feedback!](#send-us-failure-cases-and-feedback)
10.[Authors and Contributors](#authors-and-contributors)
11.[Citation](#citation)
12.[License](#license)
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@@ -142,6 +144,11 @@ Check the OpenPose Benchmark as well as some hints to speed up and/or reduce the
## Foot Dataset
Check the [foot dataset website](https://cmu-perceptual-computing-lab.github.io/foot_keypoint_dataset/) and new OpenPose paper for more information.
## Send Us Failure Cases and Feedback!
Our library is open source for research purposes, and we want to continuously improve it! So please, let us know if...
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@@ -168,6 +175,13 @@ We would also like to thank all the people who helped OpenPose in any way. The m
## Citation
Please cite these papers in your publications if it helps your research (the face keypoint detector was trained using the procedure described in [Simon et al. 2017] for hands):
@inproceedings{cao2018openpose,
author = {Zhe Cao and Gines Hidalgo and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {Arxiv},
title = {Open{P}ose: realtime multi-person 2{D} pose estimation using {P}art {A}ffinity {F}ields},
year = {2018}
}
@inproceedings{cao2017realtime,
author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
@@ -112,3 +113,10 @@ COCO model will eventually be removed. BODY_25 model is faster, more accurate, a
**Q: 0 people detected and displayed in default video and images.**
**A**: This problem occurs when the caffemodel has not been properly downloaded. E.g., if the connection drops when downloading the models. Please, remove the current models in the model folder, and download them manually from the links in [doc/installation.md](./installation.md). Alternatively, remove them and re-run Cmake again.
### 3D OpenPose Returning Wrong Results: 0, NaN, Infinity, etc.
**Q: 3D OpenPose is returning wrong results.**
**A**: 99.99% of the cases, this is due to wrong or poor calibration. Repeat the calibration making sure that the final reprojection error is about or less than 0.1 pixels.
