mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-21 18:49:23 +01:00
8ea29a1df4
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
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# 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()
|