feat: Enhance play notebook with new data structures and visualization utilities

- Added new TypedDict classes for camera parameters, including Resolution, Intrinsic, and Extrinsic.
- Updated dataset reading logic to accommodate new camera parameters structure.
- Introduced functions for reading datasets by port and visualizing whole body keypoints.
- Improved the affinity matrix calculation logic in the camera module.
- Updated dependencies in pyproject.toml to include Plotly and SciPy for enhanced functionality.

app/solver/__init__.py

@@ -151,7 +151,7 @@ class _BIPSolver:
             clusters[int(label)].append(i)
         return list(clusters.values())
 
-    def solve(self, affinity_matrix: NDArray, rtn_matrix=False):
+    def solve(self, affinity_matrix: NDArray):
         n_nodes = affinity_matrix.shape[0]
         if n_nodes <= 1:
             solution_x, sol_matrix = (
@@ -197,8 +197,6 @@ class _BIPSolver:
             sol_matrix += sol_matrix.T
 
         clusters = self.solution_mat_clusters(sol_matrix)
-        if not rtn_matrix:
-            return clusters
         return clusters, sol_matrix