add quadtree_image_matching

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11199857

 * init quadtree code
 * quadtree attention image matching can run in modelscope pipeline
 * jit build quadtree attention
 * update license info

tests/pipelines/test_image_matching.py

@@ -0,0 +1,46 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
+import unittest
+from pathlib import Path
+
+import cv2
+import matplotlib.cm as cm
+import numpy as np
+
+from modelscope.outputs import OutputKeys
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.cv.image_utils import match_pair_visualization
+from modelscope.utils.demo_utils import DemoCompatibilityCheck
+from modelscope.utils.test_utils import test_level
+
+
+class ImageMatchingTest(unittest.TestCase, DemoCompatibilityCheck):
+
+    def setUp(self) -> None:
+        self.task = 'image-matching'
+        self.model_id = 'damo/cv_quadtree_attention_image-matching_outdoor'
+
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    def test_image_matching(self):
+        input_location = [[
+            'data/test/images/image_matching1.jpg',
+            'data/test/images/image_matching2.jpg'
+        ]]
+        estimator = pipeline(Tasks.image_matching, model=self.model_id)
+        result = estimator(input_location)
+        kpts0, kpts1, conf = result[0][OutputKeys.MATCHES]
+
+        match_pair_visualization(
+            input_location[0][0],
+            input_location[0][1],
+            kpts0,
+            kpts1,
+            conf,
+            output_filename='quadtree_match.png')
+
+        print('test_image_matching DONE')
+
+
+if __name__ == '__main__':
+    unittest.main()