custom rtmlib version until pull request is accepted

Sports2D/Demo/Config_demo.toml

@@ -53,6 +53,7 @@ pose_model = 'Body_with_feet'  #With RTMLib: Body_with_feet (default HALPE_26 mo
 mode = 'balanced' # 'lightweight', 'balanced', 'performance', or """{dictionary}""" (see below)
 
 # A dictionary (WITHIN THREE DOUBLE QUOTES) allows you to manually select the person detection (if top_down approach) and/or pose estimation models (see https://github.com/Tau-J/rtmlib). 
+# Models can be local paths or URLs.
 # Make sure the input_sizes are within triple quotes, and that they are in the opposite order from the one in the model path (for example, it would be [192,256] for rtmpose-m_simcc-body7_pt-body7-halpe26_700e-256x192-4d3e73dd_20230605.zip). 
 # If your pose_model is not provided in skeletons.py, you may have to create your own one (see example at the end of the file).
 # Example, equivalent to mode='balanced':

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
 name = sports2d
-version = 0.6.0
+version = 0.6.1
 author = David Pagnon
 author_email = [email protected]
 description = Detect pose and compute 2D joint angles from a video.
@@ -41,7 +41,8 @@ install_requires =
     matplotlib
     PyQt5
     statsmodels
-    rtmlib @ git+https://github.com/davidpagnon/rtmlib_Pose2Sim.git@7ff790a757e9a1bc964e1f9395c965ae8b078e57
+    # rtmlib @ git+https://github.com/davidpagnon/rtmlib_Pose2Sim.git@7ff790a757e9a1bc964e1f9395c965ae8b078e57
+    rtmlib_pose2sim
     openvino
     tqdm
     imageio_ffmpeg