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@ -24,6 +24,9 @@ Pose2Sim stands for "OpenPose to OpenSim", as it uses OpenPose inputs (2D keypoi
2. [Use on your own data](#use-on-your-own-data) 2. [Use on your own data](#use-on-your-own-data)
1. [Prepare for running on your own data](#prepare-for-running-on-your-own-data) 1. [Prepare for running on your own data](#prepare-for-running-on-your-own-data)
2. [2D pose estimation](#2d-pose-estimation) 2. [2D pose estimation](#2d-pose-estimation)
1. [With OpenPose](#with-openpose)
2. [With BlazePose](#with-blazepose)
3. [With DeepLabCut](#with-deeplabcut)
3. [Camera calibration](#camera-calibration) 3. [Camera calibration](#camera-calibration)
4. [2D Tracking of person](#2d-tracking-of-person) 4. [2D Tracking of person](#2d-tracking-of-person)
5. [3D triangulation](#3d-triangulation) 5. [3D triangulation](#3d-triangulation)
@ -126,7 +129,7 @@ Results are stored as .trc files in the `Demo/pose-3d` directory.
### 2D pose estimation ### 2D pose estimation
> _**Estimate 2D pose from images with Openpose or an other pose estimation solution.**_ > _**Estimate 2D pose from images with Openpose or an other pose estimation solution.**_
<ins>With OpenPose:</ins> #### With OpenPose:
* Open a command prompt in your **OpenPose** directory. \ * Open a command prompt in your **OpenPose** directory. \
Launch OpenPose for each raw image folder: Launch OpenPose for each raw image folder:
``` ```
@ -136,7 +139,7 @@ Results are stored as .trc files in the `Demo/pose-3d` directory.
Make sure you modify the `User\Config.toml` file accordingly. Make sure you modify the `User\Config.toml` file accordingly.
* Use one of the `json_display_with_img.py` or `json_display_with_img.py` scripts (see [Utilities](#utilities)) if you want to display 2D pose detections. * Use one of the `json_display_with_img.py` or `json_display_with_img.py` scripts (see [Utilities](#utilities)) if you want to display 2D pose detections.
<ins>With BlazePose (MediaPipe):</ins> #### With BlazePose (MediaPipe)
* BlazePose is very fast, fully runs under Python, handles upside-down postures and wrist movements (but no subtalar ankle angles). \ * BlazePose is very fast, fully runs under Python, handles upside-down postures and wrist movements (but no subtalar ankle angles). \
However, it is less robust and accurate than OpenPose, and can only detect a single person. However, it is less robust and accurate than OpenPose, and can only detect a single person.
* Use the script `Blazepose_runsave.py` (see [Utilities](#utilities)) to run BlazePose under Python, and store the detected coordinates in OpenPose (json) or DeepLabCut (h5 or csv) format (see docstring for more parameters): * Use the script `Blazepose_runsave.py` (see [Utilities](#utilities)) to run BlazePose under Python, and store the detected coordinates in OpenPose (json) or DeepLabCut (h5 or csv) format (see docstring for more parameters):
@ -145,7 +148,7 @@ However, it is less robust and accurate than OpenPose, and can only detect a sin
``` ```
* Make sure you change the `pose_model` and the `tracked_keypoint` in the `User\Config.toml` file. * Make sure you change the `pose_model` and the `tracked_keypoint` in the `User\Config.toml` file.
<ins>With DeepLabCut:</ins> #### With DeepLabCut:
* If you want to detect specific points on a human being, an animal, or an object, you can also train your own model with [DeepLabCut](https://github.com/DeepLabCut/DeepLabCut), or other 2D pose estimators instead. * If you want to detect specific points on a human being, an animal, or an object, you can also train your own model with [DeepLabCut](https://github.com/DeepLabCut/DeepLabCut), or other 2D pose estimators instead.
* (1) translate the format to json files (with `DLC_to_OpenPose.py` script, see [Utilities](#utilities)): * (1) translate the format to json files (with `DLC_to_OpenPose.py` script, see [Utilities](#utilities)):
``` ```