mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-16 08:17:45 +01:00
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
|
|
import unittest
|
|
|
|
import cv2
|
|
import numpy as np
|
|
import torch
|
|
from PIL import Image
|
|
|
|
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.logger import get_logger
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
logger = get_logger()
|
|
|
|
|
|
class ImageViewTransformTest(unittest.TestCase):
|
|
|
|
def setUp(self) -> None:
|
|
self.model_id = 'damo/cv_image-view-transform'
|
|
image = Image.open(
|
|
'data/test/images/image_view_transform_source_img.png')
|
|
self.input = {
|
|
'source_img': image,
|
|
'target_view': [50.0, 0.0, 0.0, True, 3.0, 4, 50, 1.0]
|
|
}
|
|
|
|
def pipeline_inference(self, pipeline: Pipeline, input: str):
|
|
result = pipeline(input)
|
|
logger.info(result)
|
|
cv2.imwrite('result.jpg', result[OutputKeys.OUTPUT_IMGS][0])
|
|
print(np.sum(np.abs(result[OutputKeys.OUTPUT_IMGS][0])))
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_modelhub(self):
|
|
image_view_transform = pipeline(
|
|
Tasks.image_view_transform,
|
|
model=self.model_id,
|
|
revision='v1.0.3',
|
|
trust_remote_code=True)
|
|
self.pipeline_inference(image_view_transform, self.input)
|
|
|
|
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
|
|
def test_run_modelhub_default_model(self):
|
|
image_view_transform = pipeline(
|
|
Tasks.image_view_transform, trust_remote_code=True)
|
|
self.pipeline_inference(image_view_transform, self.input)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|