From 5aea036711be56f843ff6fefc9204c15467b5058 Mon Sep 17 00:00:00 2001 From: davidpagnon Date: Tue, 21 Jan 2025 12:08:41 +0100 Subject: [PATCH] custom rtmlib version until pull request is accepted --- Sports2D/Demo/Config_demo.toml | 1 + setup.cfg | 5 +++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/Sports2D/Demo/Config_demo.toml b/Sports2D/Demo/Config_demo.toml index c34f4a1..d8aba3b 100644 --- a/Sports2D/Demo/Config_demo.toml +++ b/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': diff --git a/setup.cfg b/setup.cfg index c973a87..1e30fde 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,6 +1,6 @@ [metadata] name = sports2d -version = 0.6.0 +version = 0.6.1 author = David Pagnon author_email = contact@david-pagnon.com 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