Commit b550ecb6 authored by Xinyi ZHANG's avatar Xinyi ZHANG Committed by Tiago de Freitas Pereira
Browse files

”new”

parent 60c531cb
import bob.ip.facedetect
def bounding_box_to_annotations(bbx):
"""Converts :any:`bob.ip.facedetect.BoundingBox` to dictionary annotations.
......
......@@ -33,4 +33,3 @@ class BobIpTinyface(Base):
return {"topleft": (r[0], r[1]), "bottomright": (r[2], r[3])}
else:
return None
from bob.bio.face.annotator import BobIpTinyface
annotator = BobIpTinyface()
annotator = BobIpTinyface()
\ No newline at end of file
......@@ -61,4 +61,3 @@ transformer = make_pipeline(
# Assemble the Vanilla Biometric pipeline and execute
pipeline = VanillaBiometricsPipeline(transformer, algorithm)
transformer = pipeline.transformer
......@@ -68,4 +68,4 @@ transformer = make_pipeline(
# Assemble the Vanilla Biometric pipeline and execute
pipeline = VanillaBiometricsPipeline(transformer, algorithm)
transformer = pipeline.transformer
transformer = pipeline.transformer
\ No newline at end of file
......@@ -61,4 +61,3 @@ transformer = make_pipeline(
# Assemble the Vanilla Biometric pipeline and execute
pipeline = VanillaBiometricsPipeline(transformer, algorithm)
transformer = pipeline.transformer
......@@ -64,4 +64,3 @@ transformer = make_pipeline(
# Assemble the Vanilla Biometric pipeline and execute
pipeline = VanillaBiometricsPipeline(transformer, algorithm)
transformer = pipeline.transformer
......@@ -64,4 +64,3 @@ transformer = make_pipeline(
# Assemble the Vanilla Biometric pipeline and execute
pipeline = VanillaBiometricsPipeline(transformer, algorithm)
transformer = pipeline.transformer
......@@ -7,6 +7,7 @@ from .pytorch_model import pytorch_library_model
from .tf_model import tf_model
from .opencv_caffe import opencv_model
# gets sphinx autodoc done right - don't remove it
def __appropriate__(*args):
"""Says object was actually declared here, and not in the import module.
......
......@@ -78,7 +78,7 @@ class mxnet_model(TransformerMixin, BaseEstimator):
"""
if self.model is None:
self.load_model()
self._load_model()
X = check_array(X, allow_nd=True)
X = mx.nd.array(X)
......@@ -94,4 +94,4 @@ class mxnet_model(TransformerMixin, BaseEstimator):
return d
def _more_tags(self):
return {"stateless": True, "requires_fit": False}
return {"stateless": True, "requires_fit": False}
\ No newline at end of file
......@@ -85,7 +85,7 @@ class opencv_model(TransformerMixin, BaseEstimator):
"""
if self.model is None:
self.load_model()
self._load_model()
img = np.array(X)
......@@ -102,4 +102,4 @@ class opencv_model(TransformerMixin, BaseEstimator):
return d
def _more_tags(self):
return {"stateless": True, "requires_fit": False}
return {"stateless": True, "requires_fit": False}
\ No newline at end of file
......@@ -79,7 +79,7 @@ class pytorch_loaded_model(TransformerMixin, BaseEstimator):
"""
if self.model is None:
self.load_model()
self._load_model()
X = torch.Tensor(X)
......@@ -162,4 +162,4 @@ class pytorch_library_model(TransformerMixin, BaseEstimator):
return d
def _more_tags(self):
return {"stateless": True, "requires_fit": False}
return {"stateless": True, "requires_fit": False}
\ No newline at end of file
......@@ -73,7 +73,7 @@ class tf_model(TransformerMixin, BaseEstimator):
"""
if self.model is None:
self.load_model()
self._load_model()
X = check_array(X, allow_nd=True)
X = tf.convert_to_tensor(X)
......@@ -92,4 +92,4 @@ class tf_model(TransformerMixin, BaseEstimator):
return d
def _more_tags(self):
return {"stateless": True, "requires_fit": False}
return {"stateless": True, "requires_fit": False}
\ No newline at end of file
......@@ -214,4 +214,4 @@ setup(
"Programming Language :: Python",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)
)
\ No newline at end of file
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment