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Added type hinting for attributes of SSD wrapper objects

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Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2019-06-13 14:12:13 +02:00
parent cc9b3abe9b
commit 88010c5914
1 changed files with 15 additions and 5 deletions
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src/twomartens/masterthesis/ssd.py
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@ -38,7 +38,7 @@ import math
import os
import pickle
import time
from typing import Dict, List, Sequence
from typing import Dict, List, Sequence, Union
from typing import Optional
import numpy as np
@ -71,6 +71,11 @@ class SSD:
Args:
mode: one of training, inference, and inference_fast
weights_path: path to trained weights
Attributes:
mode: one of training, inference, and inference_fast
predictor_sizes: sizes of predictor layers
model: Keras SSD model
"""
def __init__(self, mode: str, weights_path: Optional[str] = None) -> None:
@ -78,8 +83,8 @@ class SSD:
keras_ssd300.ssd_300(image_size=IMAGE_SIZE, n_classes=N_CLASSES,
mode=mode, iou_threshold=IOU_THRESHOLD, top_k=TOP_K,
scales=[0.07, 0.15, 0.33, 0.51, 0.69, 0.87, 1.05],
return_predictor_sizes=True)
self.mode = mode
return_predictor_sizes=True) # type: tf.keras.models.Model, np.ndarray
self.mode = mode # type: str
# load existing weights
if weights_path is not None:
@ -108,6 +113,11 @@ class DropoutSSD:
Args:
mode: one of training, inference, and inference_fast
weights_path: path to trained weights
Attributes:
mode: one of training, inference, and inference_fast
predictor_sizes: sizes of predictor layers
model: Keras SSD model
"""
def __init__(self, mode: str, weights_path: Optional[str] = None) -> None:
@ -118,8 +128,8 @@ class DropoutSSD:
iou_threshold=IOU_THRESHOLD,
top_k=TOP_K,
scales=[0.07, 0.15, 0.33, 0.51, 0.69, 0.87, 1.05],
return_predictor_sizes=True)
self.mode = mode
return_predictor_sizes=True) # type: tf.keras.models.Model, np.ndarray
self.mode = mode # type: str
# load existing weights
if weights_path is not None: