Remove ONNX and Skelda integration

README.md

@@ -16,10 +16,10 @@ A general overview can be found in the paper [RapidPoseTriangulation: Multi-view
 
 ## Build
 
-- Clone this project with submodules:
+- Clone this project:
 
     ```bash
-    git clone --recurse-submodules https://gitlab.com/Percipiote/RapidPoseTriangulation.git
+    git clone https://gitlab.com/Percipiote/RapidPoseTriangulation.git
     cd RapidPoseTriangulation/
     ```
 
@@ -57,56 +57,14 @@ A general overview can be found in the paper [RapidPoseTriangulation: Multi-view
   uv sync --group dev
   uv run pytest tests/test_interface.py
   uv build
-
-  cd /RapidPoseTriangulation/scripts/ && \
-  g++ -std=c++2a -fPIC -O3 -march=native -Wall -Werror -flto=auto \
-    -I /RapidPoseTriangulation/rpt/ \
-    -isystem /usr/include/opencv4/ \
-    -isystem /onnxruntime/include/ \
-    -isystem /onnxruntime/include/onnxruntime/core/session/ \
-    -isystem /onnxruntime/include/onnxruntime/core/providers/tensorrt/ \
-    -L /onnxruntime/build/Linux/Release/ \
-    test_skelda_dataset.cpp \
-    /RapidPoseTriangulation/rpt/*.cpp \
-    -o test_skelda_dataset.bin \
-    -Wl,--start-group \
-      -lonnxruntime_providers_tensorrt \
-      -lonnxruntime_providers_shared \
-      -lonnxruntime_providers_cuda \
-      -lonnxruntime \
-    -Wl,--end-group \
-    $(pkg-config --libs opencv4) \
-    -Wl,-rpath,/onnxruntime/build/Linux/Release/ \
-  && cd ..
-  ```
-
-- Download _ONNX_ models from [model registry](https://gitlab.com/Percipiote/RapidPoseTriangulation/-/ml/models) and save them to `mmdeploy/extras/exports/`.
-  Upon the first usage, they will be converted to _TensorRT_ models, which will take a few minutes. \
-  (Note that this conversion is not deterministic and will each time result in slightly different models and therefore also slightly different benchmark results.)
-
-- Test with samples:
-
-  ```bash
-  python3 /RapidPoseTriangulation/scripts/test_triangulate.py
-  ```
-
-- Test with [skelda](https://gitlab.com/Percipiote/skelda/) dataset:
-
-  ```bash
-  export CUDA_VISIBLE_DEVICES=0
-  python3 /RapidPoseTriangulation/scripts/test_skelda_dataset.py
   ```
 
 <br>
 
 ## Extras
 
-- Exporting tools for 2D models are at [mmdeploy](extras/mmdeploy/README.md) directory.
-
 - For usage in combination with ROS2 see [ros](extras/ros/README.md) directory.
 
-- Running on a Nvidia Jetson is also possible following [jetson](extras/jetson/README.md) directory.
-
 <br>
 
 ## Citation