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openface
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Code Issues Releases Wiki Activity

Move tests to separate directory.

This commit is contained in:
Brandon Amos 2016-01-11 12:13:14 -05:00
parent 3ba7574e4d
commit 9ed7a42c85
5 changed files with 114 additions and 57 deletions
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2
.travis.yml
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@ -26,4 +26,4 @@ script:
wget http://openface-models.storage.cmusatyalab.org/nn4.v1.t7 \
-O ./models/openface/nn4.v1.t7 && \
python2 setup.py install && \
nosetests-2.7 -v -d test.py"
./run-tests.sh"

7
run-tests.sh Normal file
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@ -0,0 +1,7 @@
#!/bin/bash
set -e
cd $(dirname $0)
nosetests-2.7 -v

0
tests/__init__.py Normal file
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96
tests/openface_api_tests.py Normal file
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@ -0,0 +1,96 @@
# OpenFace tests, run with `nosetests-2.7 -v -d test.py`
#
# Copyright 2015 Carnegie Mellon University
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cv2
import os
import re
import shutil
import numpy as np
np.set_printoptions(precision=2)
from numpy.linalg import norm
import scipy
import scipy.spatial
import openface
from subprocess import Popen, PIPE
openfaceDir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
modelDir = os.path.join(openfaceDir, 'models')
dlibModelDir = os.path.join(modelDir, 'dlib')
openfaceModelDir = os.path.join(modelDir, 'openface')
exampleImages = os.path.join(openfaceDir, 'images', 'examples')
lfwSubset = os.path.join(openfaceDir, 'data', 'lfw-subset')
dlibFacePredictor = os.path.join(dlibModelDir,
"shape_predictor_68_face_landmarks.dat")
nn4_v1_model = os.path.join(openfaceModelDir, 'nn4.v1.t7')
nn4_v2_model = os.path.join(openfaceModelDir, 'nn4.v2.t7')
imgDim = 96
align = openface.AlignDlib(dlibFacePredictor)
nn4_v1 = openface.TorchNeuralNet(nn4_v1_model, imgDim=imgDim)
nn4_v2 = openface.TorchNeuralNet(nn4_v2_model, imgDim=imgDim)
def test_v1_pipeline():
imgPath = os.path.join(exampleImages, 'lennon-1.jpg')
bgrImg = cv2.imread(imgPath)
if bgrImg is None:
raise Exception("Unable to load image: {}".format(imgPath))
rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)
assert np.isclose(norm(rgbImg), 11.1355)
bb = align.getLargestFaceBoundingBox(rgbImg)
assert bb.left() == 341
assert bb.right() == 1006
assert bb.top() == 193
assert bb.bottom() == 859
# Should be INNER_EYES_AND_BOTTOM_LIP by default.
alignedFace = align.align(imgDim, rgbImg, bb)
assert np.isclose(norm(alignedFace), 8.30662)
alignedFace_alt = align.align(imgDim, rgbImg, bb,
landmarkIndices=openface.AlignDlib.INNER_EYES_AND_BOTTOM_LIP)
assert np.isclose(norm(alignedFace), norm(alignedFace_alt))
def test_v2_pipeline():
imgPath = os.path.join(exampleImages, 'lennon-1.jpg')
bgrImg = cv2.imread(imgPath)
if bgrImg is None:
raise Exception("Unable to load image: {}".format(imgPath))
rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)
assert np.isclose(norm(rgbImg), 11.1355)
bb = align.getLargestFaceBoundingBox(rgbImg)
assert bb.left() == 341
assert bb.right() == 1006
assert bb.top() == 193
assert bb.bottom() == 859
alignedFace = align.align(imgDim, rgbImg, bb,
landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
assert np.isclose(norm(alignedFace), 7.61577)
rep = nn4_v2.forward(alignedFace)
cosDist = scipy.spatial.distance.cosine(rep, np.ones(128))
assert np.isclose(cosDist, 0.981229293936)

66
test.py → tests/openface_demo_tests.py
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@ -31,13 +31,13 @@ import openface
from subprocess import Popen, PIPE
fileDir = os.path.dirname(os.path.realpath(__file__))
modelDir = os.path.join(fileDir, 'models')
openfaceDir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
modelDir = os.path.join(openfaceDir, 'models')
dlibModelDir = os.path.join(modelDir, 'dlib')
openfaceModelDir = os.path.join(modelDir, 'openface')
exampleImages = os.path.join(fileDir, 'images', 'examples')
lfwSubset = os.path.join(fileDir, 'data', 'lfw-subset')
exampleImages = os.path.join(openfaceDir, 'images', 'examples')
lfwSubset = os.path.join(openfaceDir, 'data', 'lfw-subset')
dlibFacePredictor = os.path.join(dlibModelDir,
"shape_predictor_68_face_landmarks.dat")
@ -50,54 +50,8 @@ nn4_v1 = openface.TorchNeuralNet(nn4_v1_model, imgDim=imgDim)
nn4_v2 = openface.TorchNeuralNet(nn4_v2_model, imgDim=imgDim)
def test_v1_pipeline():
imgPath = os.path.join(exampleImages, 'lennon-1.jpg')
bgrImg = cv2.imread(imgPath)
if bgrImg is None:
raise Exception("Unable to load image: {}".format(imgPath))
rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)
assert np.isclose(norm(rgbImg), 11.1355)
bb = align.getLargestFaceBoundingBox(rgbImg)
assert bb.left() == 341
assert bb.right() == 1006
assert bb.top() == 193
assert bb.bottom() == 859
# Should be INNER_EYES_AND_BOTTOM_LIP by default.
alignedFace = align.align(imgDim, rgbImg, bb)
assert np.isclose(norm(alignedFace), 8.30662)
alignedFace_alt = align.align(imgDim, rgbImg, bb,
landmarkIndices=openface.AlignDlib.INNER_EYES_AND_BOTTOM_LIP)
assert np.isclose(norm(alignedFace), norm(alignedFace_alt))
def test_v2_pipeline():
imgPath = os.path.join(exampleImages, 'lennon-1.jpg')
bgrImg = cv2.imread(imgPath)
if bgrImg is None:
raise Exception("Unable to load image: {}".format(imgPath))
rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)
assert np.isclose(norm(rgbImg), 11.1355)
bb = align.getLargestFaceBoundingBox(rgbImg)
assert bb.left() == 341
assert bb.right() == 1006
assert bb.top() == 193
assert bb.bottom() == 859
alignedFace = align.align(imgDim, rgbImg, bb,
landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
assert np.isclose(norm(alignedFace), 7.61577)
rep = nn4_v2.forward(alignedFace)
cosDist = scipy.spatial.distance.cosine(rep, np.ones(128))
assert np.isclose(cosDist, 0.981229293936)
def test_compare_demo():
cmd = ['python2', os.path.join(fileDir, 'demos', 'compare.py'),
cmd = ['python2', os.path.join(openfaceDir, 'demos', 'compare.py'),
os.path.join(exampleImages, 'lennon-1.jpg'),
os.path.join(exampleImages, 'lennon-2.jpg')]
p = Popen(cmd, stdout=PIPE, stderr=PIPE)
@ -107,9 +61,9 @@ def test_compare_demo():
def test_classification_demo_pretrained():
cmd = ['python2', os.path.join(fileDir, 'demos', 'classifier.py'),
cmd = ['python2', os.path.join(openfaceDir, 'demos', 'classifier.py'),
'infer',
os.path.join(fileDir, 'models', 'openface',
os.path.join(openfaceDir, 'models', 'openface',
'celeb-classifier.nn4.v2.pkl'),
os.path.join(exampleImages, 'carell.jpg')]
p = Popen(cmd, stdout=PIPE, stderr=PIPE)
@ -122,7 +76,7 @@ def test_classification_demo_training():
# Get lfw-subset by running ./data/download-lfw-subset.sh
assert os.path.isdir(lfwSubset)
cmd = ['python2', os.path.join(fileDir, 'util', 'align-dlib.py'),
cmd = ['python2', os.path.join(openfaceDir, 'util', 'align-dlib.py'),
os.path.join(lfwSubset, 'raw'), 'align', 'outerEyesAndNose',
os.path.join(lfwSubset, 'aligned')]
p = Popen(cmd, stdout=PIPE, stderr=PIPE)
@ -136,14 +90,14 @@ def test_classification_demo_training():
(out, err) = p.communicate()
assert p.returncode == 0
cmd = ['python2', os.path.join(fileDir, 'demos', 'classifier.py'),
cmd = ['python2', os.path.join(openfaceDir, 'demos', 'classifier.py'),
'train',
os.path.join(lfwSubset, 'reps')]
p = Popen(cmd, stdout=PIPE, stderr=PIPE)
(out, err) = p.communicate()
assert p.returncode == 0
cmd = ['python2', os.path.join(fileDir, 'demos', 'classifier.py'),
cmd = ['python2', os.path.join(openfaceDir, 'demos', 'classifier.py'),
'infer',
os.path.join(lfwSubset, 'reps', 'classifier.pkl'),
os.path.join(lfwSubset, 'raw', 'Adrien_Brody', 'Adrien_Brody_0001.jpg')]