Update README.md

Author: gineshidalgo99

README.md

@@ -70,22 +70,22 @@ We show an inference time comparison between the 3 available pose estimation lib
 
 
 ## Features
-- **Main Functionality**:
-    - **2D real-time multi-person keypoint detection**:
-        - 15, 18 or **25-keypoint body/foot keypoint estimation**, including **6 foot keypoints**. **Runtime invariant to number of detected people**.
-        - **2x21-keypoint hand keypoint estimation**. **Runtime depends on number of detected people**. See [**OpenPose Training**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train) for a runtime invariant alternative.
-        - **70-keypoint face keypoint estimation**. **Runtime depends on number of detected people**. See [**OpenPose Training**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train) for a runtime invariant alternative.
-    - [**3D real-time single-person keypoint detection**](doc/advanced/3d_reconstruction_module.md):
-        - 3D triangulation from multiple single views.
-        - Synchronization of Flir cameras handled.
-        - Compatible with Flir/Point Grey cameras.
-    - [**Calibration toolbox**](doc/advanced/calibration_module.md): Estimation of distortion, intrinsic, and extrinsic camera parameters.
-    - **Single-person tracking** for further speedup or visual smoothing.
-- **Input**: Image, video, webcam, Flir/Point Grey, IP camera, and support to add your own custom input source (e.g., depth camera).
-- **Output**: Basic image + keypoint display/saving (PNG, JPG, AVI, ...), keypoint saving (JSON, XML, YML, ...), keypoints as array class, and support to add your own custom output code (e.g., some fancy UI).
-- **OS**: Ubuntu (20, 18, 16, 14), Windows (10, 8), Mac OSX, Nvidia TX2.
-- **Hardware compatibility**: CUDA (Nvidia GPU), OpenCL (AMD GPU), and non-GPU (CPU-only) versions.
-- **Usage Alternatives**:
+**Main Functionality**:
+- **2D real-time multi-person keypoint detection**:
+    - 15, 18 or **25-keypoint body/foot keypoint estimation**, including **6 foot keypoints**. **Runtime invariant to number of detected people**.
+    - **2x21-keypoint hand keypoint estimation**. **Runtime depends on number of detected people**. See [**OpenPose Training**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train) for a runtime invariant alternative.
+    - **70-keypoint face keypoint estimation**. **Runtime depends on number of detected people**. See [**OpenPose Training**](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train) for a runtime invariant alternative.
+- [**3D real-time single-person keypoint detection**](doc/advanced/3d_reconstruction_module.md):
+    - 3D triangulation from multiple single views.
+    - Synchronization of Flir cameras handled.
+    - Compatible with Flir/Point Grey cameras.
+- [**Calibration toolbox**](doc/advanced/calibration_module.md): Estimation of distortion, intrinsic, and extrinsic camera parameters.
+- **Single-person tracking** for further speedup or visual smoothing.
+**Input**: Image, video, webcam, Flir/Point Grey, IP camera, and support to add your own custom input source (e.g., depth camera).
+**Output**: Basic image + keypoint display/saving (PNG, JPG, AVI, ...), keypoint saving (JSON, XML, YML, ...), keypoints as array class, and support to add your own custom output code (e.g., some fancy UI).
+**OS**: Ubuntu (20, 18, 16, 14), Windows (10, 8), Mac OSX, Nvidia TX2.
+**Hardware compatibility**: CUDA (Nvidia GPU), OpenCL (AMD GPU), and non-GPU (CPU-only) versions.
+**Usage Alternatives**:
     - [**Command-line demo**](doc/01_demo.md) for built-in functionality.
     - [**C++ API**](doc/04_cpp_api.md/) and [**Python API**](doc/03_python_api.md) for custom functionality. E.g., adding your custom inputs, pre-processing, post-posprocessing, and output steps.