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Add type information to docstrings

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This commit is contained in:
Tobias Eidelpes 2023-01-19 11:06:13 +01:00
parent 548d7a1f9c
commit 733e5f6fb6
1 changed files with 8 additions and 8 deletions
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16
yolo-second-run/model.py
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@ -7,8 +7,8 @@ from torchvision import transforms
def load_models(yolo_path: str, resnet_path: str):
"""Load the models for two-stage classification.
:param yolo_path: path to yolo weights
:param resnet_path: path to resnet weights
:param str yolo_path: path to yolo weights
:param str resnet_path: path to resnet weights
:returns: tuple of models
"""
@ -25,8 +25,8 @@ def detect(img_path: str, yolo_path: str, resnet_path: str):
healthy or wilted.
:param str img_path: path to image
:param yolo_path: path to yolo weights
:param resnet_path: path to resnet weights
:param str yolo_path: path to yolo weights
:param str resnet_path: path to resnet weights
:returns: tuple of recent image and dict of bounding boxes and
their predictions
@ -105,10 +105,10 @@ def get_cutout(img, xmin, xmax, ymin, ymax):
object classification model.
:param img: opencv2 image object in BGR
:param xmin: start of bounding box on x axis
:param xmax: end of bounding box on x axis
:param ymin: start of bounding box on y axis
:param ymax: end of bounding box on y axis
:param int xmin: start of bounding box on x axis
:param int xmax: end of bounding box on x axis
:param int ymin: start of bounding box on y axis
:param int ymax: end of bounding box on y axis
:returns: tensor of cropped image in BGR
"""