Files
modelscope/tests/pipelines/test_image_portrait_enhancement.py
xingjun.wang 48c0d2a9af add 1.6
2023-05-22 10:53:18 +08:00

51 lines
1.9 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import os
import os.path as osp
import unittest
import cv2
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.pipelines.base import Pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
class ImagePortraitEnhancementTest(unittest.TestCase):
def setUp(self) -> None:
self.task = Tasks.image_portrait_enhancement
self.model_id = 'damo/cv_gpen_image-portrait-enhancement'
self.model_id_hires = 'damo/cv_gpen_image-portrait-enhancement-hires'
self.test_image = 'data/test/images/Solvay_conference_1927.png'
def pipeline_inference(self, pipeline: Pipeline, test_image: str):
result = pipeline(test_image)
if result is not None:
cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
print(f'Output written to {osp.abspath("result.png")}')
else:
raise Exception('Testing failed: invalid output')
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_modelhub(self):
face_enhancement = pipeline(
Tasks.image_portrait_enhancement, model=self.model_id)
self.pipeline_inference(face_enhancement, self.test_image)
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_run_modelhub_hires(self):
face_enhancement = pipeline(
Tasks.image_portrait_enhancement, model=self.model_id_hires)
self.pipeline_inference(face_enhancement, self.test_image)
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
def test_run_modelhub_default_model(self):
face_enhancement = pipeline(Tasks.image_portrait_enhancement)
self.pipeline_inference(face_enhancement, self.test_image)
if __name__ == '__main__':
unittest.main()