Project import generated by Copybara.

GitOrigin-RevId: 43cd697ec87dcc5cab5051f27960bb77a057399d

mediapipe/examples/android/src/java/com/google/mediapipe/apps/METADATA

@@ -0,0 +1,7 @@
+tricorder: {
+  options: {
+    builder: {
+      config: "android_arm64"
+    }
+  }
+}

mediapipe/examples/desktop/autoflip/quality/polynomial_regression_path_solver.cc

@@ -95,7 +95,7 @@ void PolynomialRegressionPathSolver::AddCostFunctionToProblem(
     const std::vector<FocusPointFrame>& focus_point_frames,
     const std::vector<FocusPointFrame>& prior_focus_point_frames,
     const int original_width, const int original_height, const int output_width,
-    const int output_height, std::vector<cv::Mat>* all_xforms) {
+    const int output_height, std::vector<cv::Mat>* all_transforms) {
   RET_CHECK_GE(original_width, output_width);
   RET_CHECK_GE(original_height, output_height);
   const bool should_solve_x_problem = original_width != output_width;
@@ -138,9 +138,10 @@ void PolynomialRegressionPathSolver::AddCostFunctionToProblem(
   Solver::Options options;
   options.linear_solver_type = ceres::DENSE_QR;
 
-  Solver::Summary summary;
-  Solve(options, &problem_x, &summary);
-  all_xforms->clear();
+  Solver::Summary summary_x, summary_y;
+  Solve(options, &problem_x, &summary_x);
+  Solve(options, &problem_y, &summary_y);
+  all_transforms->clear();
   for (int i = 0;
        i < focus_point_frames.size() + prior_focus_point_frames.size(); i++) {
     // Code below assigns values into an affine model, defined as:
@@ -160,7 +161,7 @@ void PolynomialRegressionPathSolver::AddCostFunctionToProblem(
                                        yb_, yc_, yd_, yk_);
       transform.at<float>(1, 2) = delta;
     }
-    all_xforms->push_back(transform);
+    all_transforms->push_back(transform);
   }
   return mediapipe::OkStatus();
 }

mediapipe/examples/desktop/autoflip/quality/polynomial_regression_path_solver.h

@@ -40,14 +40,14 @@ class PolynomialRegressionPathSolver {
   // Given a series of focus points on frames, uses polynomial regression to
   // compute a best guess of a 1D camera movement trajectory along x-axis and
   // y-axis, such that focus points can be preserved as much as possible. The
-  // returned |all_xforms| hold the camera location at each timestamp
+  // returned |all_transforms| hold the camera location at each timestamp
   // corresponding to each input frame.
   ::mediapipe::Status ComputeCameraPath(
       const std::vector<FocusPointFrame>& focus_point_frames,
       const std::vector<FocusPointFrame>& prior_focus_point_frames,
       const int original_width, const int original_height,
       const int output_width, const int output_height,
-      std::vector<cv::Mat>* all_xforms);
+      std::vector<cv::Mat>* all_transforms);
 
  private:
   // Adds a new cost function, constructed using |in| and |out|, into |problem|.

mediapipe/examples/desktop/hair_segmentation/BUILD

@@ -24,3 +24,17 @@ cc_binary(
         "//mediapipe/graphs/hair_segmentation:mobile_calculators",
     ],
 )
+
+cc_binary(
+    name = "hair_segmentation_cpu",
+    deps = [
+        "//mediapipe/examples/desktop:demo_run_graph_main",
+    ] + select({
+        "//mediapipe/gpu:disable_gpu": [
+            "//mediapipe/graphs/hair_segmentation:desktop_calculators",
+        ],
+        "//conditions:default": [
+            "//mediapipe/graphs/hair_segmentation:mobile_calculators",
+        ],
+    }),
+)