Files
modelscope/tests/pipelines/test_image_paint_by_example.py
ashui.cbh 329231fe9d ImagePaintbyexamplePipeline demo service 支持
修改pipeline输出格式为numpy array 供demo service使用

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11841517
2023-03-01 20:34:24 +08:00

66 lines
2.2 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
import cv2
import torch
from PIL import Image
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.logger import get_logger
from modelscope.utils.test_utils import test_level
logger = get_logger()
class ImagePaintbyexampleTest(unittest.TestCase):
def setUp(self) -> None:
self.input_location = 'data/test/images/image_paint_by_example/image/example_1.png'
self.input_mask_location = 'data/test/images/image_paint_by_example/mask/example_1.png'
self.reference_location = 'data/test/images/image_paint_by_example/reference/example_1.jpg'
self.model_id = 'damo/cv_stable-diffusion_paint-by-example'
self.input = {
'img': self.input_location,
'mask': self.input_mask_location,
'reference': self.reference_location
}
def save_result(self, result):
vis_img = result[OutputKeys.OUTPUT_IMG]
cv2.imwrite('result.png', vis_img)
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
@unittest.skipIf(not torch.cuda.is_available(), 'cuda unittest')
def test_paintbyexample(self):
paintbyexample = pipeline(
Tasks.image_paintbyexample, model=self.model_id)
result = paintbyexample(self.input)
if result:
self.save_result(result)
else:
raise ValueError('process error')
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
@unittest.skipIf(not torch.cuda.is_available(), 'cuda unittest')
def test_paintbyexample_with_image(self):
paintbyexample = pipeline(
Tasks.image_paintbyexample, model=self.model_id)
img = Image.open(self.input_location)
mask = Image.open(self.input_mask_location)
reference = Image.open(self.reference_location)
result = paintbyexample({
'img': img,
'mask': mask,
'reference': reference
})
if result:
self.save_result(result)
else:
raise ValueError('process error')
if __name__ == '__main__':
unittest.main()