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Isort for image tests

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This commit is contained in:
Dmitrii Rudenko
2024-07-30 19:37:44 +03:00
parent 90a430cc40
commit 4e699cc9fa
1 changed files with 6 additions and 3 deletions
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9
tests/test_image_onnx_embeddings.py
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@@ -1,13 +1,13 @@
import os
from io import BytesIO
import numpy as np
import pytest
import requests
from PIL import Image
from fastembed import ImageEmbedding
from tests.config import TEST_MISC_DIR
from PIL import Image
from io import BytesIO
import requests
CANONICAL_VECTOR_VALUES = {
"Qdrant/clip-ViT-B-32-vision": np.array([-0.0098, 0.0128, -0.0274, 0.002, -0.0059]),
@@ -38,6 +38,7 @@ def test_embedding():
TEST_MISC_DIR / "image.jpeg",
str(TEST_MISC_DIR / "small_image.jpeg"),
Image.open(BytesIO(requests.get("https://qdrant.tech/img/logo.png").content)),
TEST_MISC_DIR / "logo.png",
]
embeddings = list(model.embed(images))
embeddings = np.stack(embeddings, axis=0)
@@ -49,6 +50,8 @@ def test_embedding():
embeddings[0, : canonical_vector.shape[0]], canonical_vector, atol=1e-3
), model_desc["model"]
assert np.allclose(embeddings[3, :10], embeddings[2:10], atol=1e-3), model_desc["model"]
@pytest.mark.parametrize("n_dims,model_name", [(512, "Qdrant/clip-ViT-B-32-vision")])
def test_batch_embedding(n_dims, model_name):