diff --git a/app.py b/app.py
index 9b2a057..96dbdfb 100644
--- a/app.py
+++ b/app.py
@@ -149,6 +149,45 @@ def get_frame_data():
 
     return jsonify({"seq_frame_data": result,"model_pts":model_points.tolist(), "obj_path": obj_path, "mtl_path":mtl_path, "success": True})
 
+
+def rotation_6d_to_matrix_numpy(d6):
+        a1, a2 = d6[:3], d6[3:]
+        b1 = a1 / np.linalg.norm(a1)
+        b2 = a2 - np.dot(b1, a2) * b1
+        b2 = b2 / np.linalg.norm(b2)
+        b3 = np.cross(b1, b2)
+        return np.stack((b1, b2, b3), axis=-2)
+
+def parse_to_frame_data(inference_result):
+    result = []
+    combined_point_cloud = np.zeros((0, 3))
+    last_CR = 0
+    for idx in range(len(inference_result["pts_seq"])):
+        frame_data ={}
+        pose_9d = inference_result["pred_pose_9d_seq"][idx]
+        np_pose_9d = np.array(pose_9d)
+        cam_to_world_mat = np.eye(4)
+        cam_to_world_mat[:3,:3] = rotation_6d_to_matrix_numpy(np_pose_9d[:6])
+        cam_to_world_mat[:3, 3] = np_pose_9d[6:]
+        frame_data['cam_to_world'] = cam_to_world_mat.tolist()
+        target_pts = inference_result["target_pts_seq"][idx]
+        coverage_rate = inference_result["coverage_rate_seq"][idx]
+        frame_data['new_point_cloud'] = target_pts.tolist()
+        frame_data['combined_point_cloud'] = combined_point_cloud.tolist()
+        combined_point_cloud = np.concatenate([combined_point_cloud, target_pts], axis=0)
+        frame_data["coverage_rate"] = float(coverage_rate)
+        delta_CR = frame_data["coverage_rate"] - last_CR
+        frame_data["delta_CR"] = round(delta_CR,2)
+        last_CR = frame_data["coverage_rate"]
+        
+
+        result.append({
+            "frame_id": idx,
+            "data": frame_data
+        })
+    return result
+
+
 @app.route('/analysis_inference_result', methods=['POST'])
 def analysis_inference_result():
     res = {"success": True}
@@ -170,7 +209,22 @@ def analysis_inference_result():
         res["message"] = f"File processing error: {e}"
         return jsonify(res)
     
-    print(data)
+    result = parse_to_frame_data(data)
+
+    scene_name = data["scene_name"]
+    res["seq_frame_data"] = result
+    res["retry_no_pts_pose"] = data["retry_no_pts_pose"]
+    res["retry_duplication_pose"] = data["retry_duplication_pose"]
+    dataset_name = "sample"
+    obj_path = os.path.join(dataset_name, scene_name, 'mesh', 'world_target_mesh.obj')
+    mtl_path = os.path.join(dataset_name, scene_name, 'mesh', 'material.mtl')
+    res["obj_path"] = obj_path
+    res["mtl_path"] = mtl_path
+    res["max_coverage_rate"] = round(data["max_coverage_rate"]*100, 3)
+    res["scene_name"] = scene_name
+    res["pred_max_coverage_rate"] = round(data["pred_max_coverage_rate"]*100, 3)
+    res["best_seq_len"] = data["best_seq_len"]
+    
     return jsonify(res)
 
 if __name__ == '__main__':