f32d270262d975d4984743da41f2d3d4db1511f4,autokeras/pretrained/face_detector.py,FaceDetector,load,#FaceDetector#Any#,313
Before Change
self.scale_factor = 0.709
def load(self, model_path=None):
temp_path = temp_path_generator()
ensure_dir(temp_path)
for model_link, file_path in zip(Constant.FACE_DETECTION_PRETRAINED["PRETRAINED_MODEL_LINKS"],
Constant.FACE_DETECTION_PRETRAINED["FILE_NAMES"]):
download_file(model_link, f"{temp_path}/{file_path}")
After Change
def load(self, model_path=None):
model_paths = [download_model(model_link, file_name) for model_link, file_name in zip(
Constant.FACE_DETECTOR["MODEL_LINKS"], Constant.FACE_DETECTOR["MODEL_NAMES"])]
return model_paths
def predict(self, img_path, output_file_path=None):
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 4
Instances
Project Name: keras-team/autokeras
Commit Name: f32d270262d975d4984743da41f2d3d4db1511f4
Time: 2019-01-08
Author: yashwanth95tuniki@gmail.com
File Name: autokeras/pretrained/face_detector.py
Class Name: FaceDetector
Method Name: load
Project Name: jhfjhfj1/autokeras
Commit Name: f32d270262d975d4984743da41f2d3d4db1511f4
Time: 2019-01-08
Author: yashwanth95tuniki@gmail.com
File Name: autokeras/pretrained/object_detector.py
Class Name: ObjectDetector
Method Name: load