From 0267811fa474b191977be77846f08bb2c523483c Mon Sep 17 00:00:00 2001
From: Laurent COLBOIS <lcolbois@.idiap.ch>
Date: Thu, 3 Dec 2020 14:00:34 +0100
Subject: [PATCH] Added comparison test between TF1 and TF2 for FaceNet
embeddings
---
.../data/facenet_sandberg_20170512-110547.hdf5 | Bin 0 -> 2560 bytes
bob/bio/face/test/test_embeddings.py | 13 ++++++++++---
2 files changed, 10 insertions(+), 3 deletions(-)
create mode 100644 bob/bio/face/test/data/facenet_sandberg_20170512-110547.hdf5
diff --git a/bob/bio/face/test/data/facenet_sandberg_20170512-110547.hdf5 b/bob/bio/face/test/data/facenet_sandberg_20170512-110547.hdf5
new file mode 100644
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diff --git a/bob/bio/face/test/test_embeddings.py b/bob/bio/face/test/test_embeddings.py
index e97e3b00..b8bd3f0f 100644
--- a/bob/bio/face/test/test_embeddings.py
+++ b/bob/bio/face/test/test_embeddings.py
@@ -93,19 +93,26 @@ def test_idiap_inceptionv1_casia():
@is_library_available("tensorflow")
def test_facenet_sanderberg():
from bob.bio.face.embeddings.tf2_inception_resnet import (
- FaceNetSanderberg_20170512_110547,
+ FaceNetSanderberg_20170512_110547
)
+ reference = bob.io.base.load(
+ pkg_resources.resource_filename(
+ "bob.bio.face.test", "data/facenet_sandberg_20170512-110547.hdf5"
+ )
+ )
np.random.seed(10)
transformer = FaceNetSanderberg_20170512_110547()
- data = np.random.rand(3, 160, 160).astype("uint8")
+ data = (np.random.rand(3, 160, 160) * 255).astype("uint8")
output = transformer.transform([data])[0]
assert output.size == 128, output.shape
-
+
# Sample Batch
sample = Sample(data)
transformer_sample = wrap(["sample"], transformer)
output = [s.data for s in transformer_sample.transform([sample])][0]
+
+ np.testing.assert_allclose(output, reference.flatten(), rtol=1e-5, atol=1e-4)
assert output.size == 128, output.shape
--
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