mirror of
https://github.com/modelscope/modelscope.git
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70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import subprocess
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import sys
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import tempfile
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import unittest
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import cv2
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.cv import Text2360PanoramaImagePipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class Text2360PanoramaImageTest(unittest.TestCase):
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def setUp(self) -> None:
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logger.info('start install xformers')
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cmd = [
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sys.executable, '-m', 'pip', 'install', 'xformers', '-f',
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'https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html'
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]
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subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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logger.info('install xformers finished')
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self.task = Tasks.text_to_360panorama_image
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self.model_id = 'damo/cv_diffusion_text-to-360panorama-image_generation'
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self.prompt = 'The living room'
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self.upscale = False
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self.refinement = False
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self.input = {
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'prompt': self.prompt,
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'upscale': self.upscale,
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'refinement': self.refinement,
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}
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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output_image_path = tempfile.NamedTemporaryFile(suffix='.png').name
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cache_path = snapshot_download(self.model_id)
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pipeline = Text2360PanoramaImagePipeline(cache_path)
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pipeline.group_key = self.task
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output = pipeline(inputs=self.input)[OutputKeys.OUTPUT_IMG]
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cv2.imwrite(output_image_path, output)
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print(
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'pipeline: the output image path is {}'.format(output_image_path))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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output_image_path = tempfile.NamedTemporaryFile(suffix='.png').name
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pipeline_ins = pipeline(
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task=Tasks.text_to_360panorama_image,
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model=self.model_id,
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model_revision='v1.0.0')
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output = pipeline_ins(inputs=self.input)[OutputKeys.OUTPUT_IMG]
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cv2.imwrite(output_image_path, output)
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print(
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'pipeline: the output image path is {}'.format(output_image_path))
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if __name__ == '__main__':
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unittest.main()
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