SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Update fixtures-image-utils (#28080)

Browse Source 
* fix hf-internal-testing/fixtures_image_utils

* fix test

* comments
This commit is contained in:
Quentin Lhoest
2023-12-15 17:58:36 +01:00
committed by GitHub
parent 1c286be508
commit 26ea725bc0
6 changed files with 46 additions and 29 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
tests/pipelines/test_pipelines_depth_estimation.py
View File

@@ -68,17 +68,19 @@ class DepthEstimationPipelineTests(unittest.TestCase):
self.assertEqual({"predicted_depth": ANY(torch.Tensor), "depth": ANY(Image.Image)}, outputs)
import datasets
dataset = datasets.load_dataset("hf-internal-testing/fixtures_image_utils", "image", split="test")
# we use revision="refs/pr/1" until the PR is merged
# https://hf.co/datasets/hf-internal-testing/fixtures_image_utils/discussions/1
dataset = datasets.load_dataset("hf-internal-testing/fixtures_image_utils", split="test", revision="refs/pr/1")
outputs = depth_estimator(
[
Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png"),
"http://images.cocodataset.org/val2017/000000039769.jpg",
# RGBA
dataset[0]["file"],
dataset[0]["image"],
# LA
dataset[1]["file"],
dataset[1]["image"],
# L
dataset[2]["file"],
dataset[2]["image"],
]
)
self.assertEqual(