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dnn(test): fix optional test data

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This commit is contained in:
Alexander Alekhin
2019-10-04 16:48:05 +03:00
parent 53c88f0f9e
commit f0058bbed3
2 changed files with 25 additions and 19 deletions
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modules/dnn/misc/python/test/test_dnn.py
+17 -11
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@@ -62,6 +62,7 @@ def printParams(backend, target):
}
print('%s/%s' % (backendNames[backend], targetNames[target]))
testdata_required = bool(os.environ.get('OPENCV_DNN_TEST_REQUIRE_TESTDATA', False))
class dnn_test(NewOpenCVTests):
@@ -87,13 +88,15 @@ class dnn_test(NewOpenCVTests):
self.dnnBackendsAndTargets.append([cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_OPENCL_FP16])
def find_dnn_file(self, filename, required=True):
if not required:
required = testdata_required
return self.find_file(filename, [os.environ.get('OPENCV_DNN_TEST_DATA_PATH', os.getcwd()),
os.environ['OPENCV_TEST_DATA_PATH']],
required=required)
def checkIETarget(self, backend, target):
proto = self.find_dnn_file('dnn/layers/layer_convolution.prototxt', required=True)
model = self.find_dnn_file('dnn/layers/layer_convolution.caffemodel', required=True)
proto = self.find_dnn_file('dnn/layers/layer_convolution.prototxt')
model = self.find_dnn_file('dnn/layers/layer_convolution.caffemodel')
net = cv.dnn.readNet(proto, model)
net.setPreferableBackend(backend)
net.setPreferableTarget(target)
@@ -134,8 +137,11 @@ class dnn_test(NewOpenCVTests):
def test_model(self):
img_path = self.find_dnn_file("dnn/street.png")
weights = self.find_dnn_file("dnn/MobileNetSSD_deploy.caffemodel")
config = self.find_dnn_file("dnn/MobileNetSSD_deploy.prototxt")
weights = self.find_dnn_file("dnn/MobileNetSSD_deploy.caffemodel", required=False)
config = self.find_dnn_file("dnn/MobileNetSSD_deploy.prototxt", required=False)
if weights is None or config is None:
raise unittest.SkipTest("Missing DNN test files (dnn/MobileNetSSD_deploy.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
frame = cv.imread(img_path)
model = cv.dnn_DetectionModel(weights, config)
model.setInputParams(size=(300, 300), mean=(127.5, 127.5, 127.5), scale=1.0/127.5)
@@ -163,9 +169,11 @@ class dnn_test(NewOpenCVTests):
def test_classification_model(self):
img_path = self.find_dnn_file("dnn/googlenet_0.png")
weights = self.find_dnn_file("dnn/squeezenet_v1.1.caffemodel")
weights = self.find_dnn_file("dnn/squeezenet_v1.1.caffemodel", required=False)
config = self.find_dnn_file("dnn/squeezenet_v1.1.prototxt")
ref = np.load(self.find_dnn_file("dnn/squeezenet_v1.1_prob.npy"))
if weights is None or config is None:
raise unittest.SkipTest("Missing DNN test files (dnn/squeezenet_v1.1.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
frame = cv.imread(img_path)
model = cv.dnn_ClassificationModel(config, weights)
@@ -177,9 +185,8 @@ class dnn_test(NewOpenCVTests):
def test_face_detection(self):
testdata_required = bool(os.environ.get('OPENCV_DNN_TEST_REQUIRE_TESTDATA', False))
proto = self.find_dnn_file('dnn/opencv_face_detector.prototxt', required=testdata_required)
model = self.find_dnn_file('dnn/opencv_face_detector.caffemodel', required=testdata_required)
proto = self.find_dnn_file('dnn/opencv_face_detector.prototxt')
model = self.find_dnn_file('dnn/opencv_face_detector.caffemodel', required=False)
if proto is None or model is None:
raise unittest.SkipTest("Missing DNN test files (dnn/opencv_face_detector.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")
@@ -216,9 +223,8 @@ class dnn_test(NewOpenCVTests):
def test_async(self):
timeout = 10*1000*10**6 # in nanoseconds (10 sec)
testdata_required = bool(os.environ.get('OPENCV_DNN_TEST_REQUIRE_TESTDATA', False))
proto = self.find_dnn_file('dnn/layers/layer_convolution.prototxt', required=testdata_required)
model = self.find_dnn_file('dnn/layers/layer_convolution.caffemodel', required=testdata_required)
proto = self.find_dnn_file('dnn/layers/layer_convolution.prototxt')
model = self.find_dnn_file('dnn/layers/layer_convolution.caffemodel')
if proto is None or model is None:
raise unittest.SkipTest("Missing DNN test files (dnn/layers/layer_convolution.{prototxt/caffemodel}). Verify OPENCV_DNN_TEST_DATA_PATH configuration parameter.")