Update README.md

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@ -241,6 +241,18 @@ N.B.: Markers are not needed in Pose2Sim and were used here for validation
> _**Convert a preexisting calibration file, or calculate intrinsic and extrinsic parameters from scratch.**_ \
> _**N.B.:**_ You can visualize camera calibration in 3D with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
Open an Anaconda prompt or a terminal, type `ipython`.\
By default, `calibration()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.calibration(r'path_to_config.toml')`.
```
from Pose2Sim import Pose2Sim
Pose2Sim.calibration()
```
Output:\
<img src="Content/Calib2D.png" width="760">
<img src="Content/CalibFile.png" width="760">
### Convert from Qualisys, Optitrack, Vicon, OpenCap, EasyMocap, or bioCV
If you already have a calibration file, set `calibration_type` type to `convert` in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
@ -311,20 +323,6 @@ If you already have a calibration file, set `calibration_type` type to `convert`
- For a more automatic calibration, OpenPose keypoints could also be used for calibration.\
[Want to contribute?](#how-to-contribute)
Open an Anaconda prompt or a terminal, type `ipython`.\
By default, `calibration()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.calibration(r'path_to_config.toml')`.
```
from Pose2Sim import Pose2Sim
Pose2Sim.calibration()
```
Output:\
<img src="Content/Calib2D.png" width="760">
<img src="Content/CalibFile.png" width="760">
<details>
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
<pre>