-
Notifications
You must be signed in to change notification settings - Fork 17
/
.tags
161 lines (161 loc) · 20.1 KB
/
.tags
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
.\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:/;" l
:2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:/;" l
num2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^num2:$/;" l
ª"!Š PyImage$/;" i
:2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:/;" l
NoOple_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^dtype02:$/;" l
dtype02 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^dtype02:$/;" l
dtype0* .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^dtype0*:$/;" l
shape .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^shape:/;" l
valueB .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^valueB/;" l
valueB .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^valueB:$/;" l
:ý2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:ý2:$/;" l
_output_shapes .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^_output_shapes:$/;" l
:ý2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:ý2:$/;" l
!_TAG_FILE_FORMAT 2 /extended format; --format=1 will not append ;" to lines/
!_TAG_FILE_SORTED 1 /0=unsorted, 1=sorted, 2=foldcase/
!_TAG_PROGRAM_AUTHOR Darren Hiebert /[email protected]/
!_TAG_PROGRAM_NAME Exuberant Ctags //
!_TAG_PROGRAM_URL http://ctags.sourceforge.net /official site/
!_TAG_PROGRAM_VERSION 5.8 //
*assignvariableop_35_block_1_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_35_block_1_expand_bn_beta:$/;" l
*assignvariableop_44_block_2_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_44_block_2_expand_bn_beta:$/;" l
*assignvariableop_53_block_3_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_53_block_3_expand_bn_beta:$/;" l
*assignvariableop_62_block_4_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_62_block_4_expand_bn_beta:$/;" l
*assignvariableop_71_block_5_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_71_block_5_expand_bn_beta:$/;" l
*assignvariableop_80_block_6_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_80_block_6_expand_bn_beta:$/;" l
*assignvariableop_89_block_7_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_89_block_7_expand_bn_beta:$/;" l
*assignvariableop_98_block_8_expand_bn_beta .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^*assignvariableop_98_block_8_expand_bn_beta:$/;" l
2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^/;" l
2assignvariableop_210_block_1_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_210_block_1_expand_bn_moving_mean:$/;" l
2assignvariableop_216_block_2_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_216_block_2_expand_bn_moving_mean:$/;" l
2assignvariableop_222_block_3_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_222_block_3_expand_bn_moving_mean:$/;" l
2assignvariableop_228_block_4_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_228_block_4_expand_bn_moving_mean:$/;" l
2assignvariableop_234_block_5_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_234_block_5_expand_bn_moving_mean:$/;" l
2assignvariableop_240_block_6_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_240_block_6_expand_bn_moving_mean:$/;" l
2assignvariableop_246_block_7_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_246_block_7_expand_bn_moving_mean:$/;" l
2assignvariableop_252_block_8_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_252_block_8_expand_bn_moving_mean:$/;" l
2assignvariableop_258_block_9_expand_bn_moving_mean .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^2assignvariableop_258_block_9_expand_bn_moving_mean:$/;" l
7assignvariableop_265_block_10_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_265_block_10_expand_bn_moving_variance:$/;" l
7assignvariableop_271_block_11_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_271_block_11_expand_bn_moving_variance:$/;" l
7assignvariableop_277_block_12_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_277_block_12_expand_bn_moving_variance:$/;" l
7assignvariableop_283_block_13_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_283_block_13_expand_bn_moving_variance:$/;" l
7assignvariableop_289_block_14_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_289_block_14_expand_bn_moving_variance:$/;" l
7assignvariableop_295_block_15_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_295_block_15_expand_bn_moving_variance:$/;" l
7assignvariableop_301_block_16_expand_bn_moving_variance .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^7assignvariableop_301_block_16_expand_bn_moving_variance:$/;" l
: ýZ2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^ : ýZ2:$/;" l
: ý[2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^ : ý[2:$/;" l
:functional_1_block_1_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_1_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_2_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_2_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_3_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_3_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_4_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_4_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_5_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_5_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_6_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_6_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_7_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_7_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_8_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_8_expand_conv2d_readvariableop_resource:$/;" l
:functional_1_block_9_expand_conv2d_readvariableop_resource .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^:functional_1_block_9_expand_conv2d_readvariableop_resource:$/;" l
=Š .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^=Š:$/;" l
>savev2_block_10_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_10_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_11_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_11_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_12_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_12_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_13_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_13_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_14_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_14_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_15_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_15_depthwise_depthwise_kernel_read_readvariableop:$/;" l
>savev2_block_16_depthwise_depthwise_kernel_read_readvariableop .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^>savev2_block_16_depthwise_depthwise_kernel_read_readvariableop:$/;" l
BytesIO .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from six import BytesIO$/;" i
CLASS_NAMES .\model\mobile_netv2\ClassesOFObject.js /^var CLASS_NAMES=[$/;" v
Image .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from PIL import Image, ImageDraw, ImageFont$/;" i
ImageDraw .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from PIL import Image, ImageDraw, ImageFont$/;" i
ImageFont .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from PIL import Image, ImageDraw, ImageFont$/;" i
KOSTA .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import glob #KOSTA$/;" i
KOSTA .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import os #KOSTA$/;" i
MODELS_CONFIG .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^MODELS_CONFIG = {$/;" v
TEST_IMAGE_PATHS .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^TEST_IMAGE_PATHS = glob.glob('\/content\/test\/test\/*.jpeg')$/;" v
[__inference_layer_19_1_Conv2d_2_1x1_256_conv_layer_call_and_return_conditional_losses_377082 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^[__inference_layer_19_1_Conv2d_2_1x1_256_conv_layer_call_and_return_conditional_losses_377082:$/;" l
[__inference_layer_19_1_Conv2d_3_1x1_128_conv_layer_call_and_return_conditional_losses_379462 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^[__inference_layer_19_1_Conv2d_3_1x1_128_conv_layer_call_and_return_conditional_losses_379462:$/;" l
[__inference_layer_19_1_Conv2d_4_1x1_128_conv_layer_call_and_return_conditional_losses_381842 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^[__inference_layer_19_1_Conv2d_4_1x1_128_conv_layer_call_and_return_conditional_losses_381842:$/;" l
base_pipeline_file .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^base_pipeline_file = MODELS_CONFIG[chosen_model]['base_pipeline_file']$/;" v
batch_size .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^batch_size = MODELS_CONFIG[chosen_model]['batch_size'] #if you can fit a large batch in memory, it may speed up your training$/;" v
browser .\.atom-live-server.json /^ "browser": "chrome"$/;" f
categories .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^categories = label_map_util.convert_label_map_to_categories($/;" v
category_index .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^category_index = label_map_util.create_category_index(categories)$/;" v
children .\script.js /^var children = [];$/;" v
chosen_model .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^chosen_model = 'ssd_mobilenet_v2_320x320_coco17'$/;" v
ckpt .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ckpt = tf.compat.v2.train.Checkpoint($/;" v
classProbThreshold .\script.js /^var classProbThreshold = 0.4;\/\/40%$/;" v
colab_utils .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from object_detection.utils import colab_utils$/;" i
config_util .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from object_detection.utils import config_util$/;" i
configs .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^configs = config_util.get_configs_from_pipeline_file(pipeline_config)$/;" v
const.video .\script.js /^ video: true$/;" p
detect_fn .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ def detect_fn(image):$/;" f function:get_model_detection_function
detect_fn .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^detect_fn = get_model_detection_function(detection_model)$/;" v
detection_model .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^detection_model = model_builder.build($/;" v
download_config .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^download_config = 'https:\/\/raw.githubusercontent.com\/KostaMalsev\/ImageRecognition\/master\/model\/mobile_netv2\/ssd_mobilenet_v2_320x320_coco17_tpu-8.config'$/;" v
download_tar .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^download_tar = 'http:\/\/download.tensorflow.org\/models\/object_detection\/tf2\/20200711\/' + pretrained_checkpoint$/;" v
enableCam .\script.js /^function enableCam(event) {$/;" f
fine_tune_checkpoint .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^fine_tune_checkpoint = '\/content\/models\/research\/deploy\/' + model_name + '\/checkpoint\/ckpt-0'$/;" v
getUserMediaSupported .\script.js /^function getUserMediaSupported() {$/;" f
get_model_detection_function .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^def get_model_detection_function(model):$/;" f
get_num_classes .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^def get_num_classes(pbtxt_fname):$/;" f
glob .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import glob #KOSTA$/;" i
image_np .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^image_np = load_image_into_numpy_array(image_path)$/;" v
image_np_with_detections .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^image_np_with_detections = image_np.copy()$/;" v
image_path .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^image_path = random.choice(TEST_IMAGE_PATHS)$/;" v
input_tensor .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^input_tensor = tf.convert_to_tensor($/;" v
io .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import io$/;" i
is_training(2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^ is_training(/;" l
label_id_offset .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^label_id_offset = 1$/;" v
label_map .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^label_map = label_map_util.load_labelmap(label_map_path)$/;" v
label_map_dict .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^label_map_dict = label_map_util.get_label_map_dict(label_map, use_display_name=True)$/;" v
label_map_path .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^label_map_path = configs['eval_input_config'].label_map_path$/;" v
label_map_pbtxt_fname .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^label_map_pbtxt_fname = '\/content\/train\/toymnm_label_map.pbtxt'$/;" v
label_map_util .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ from object_detection.utils import label_map_util$/;" i
label_map_util .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from object_detection.utils import label_map_util$/;" i
last_model_path .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^last_model_path = '\/content\/training\/'$/;" v
load_image_into_numpy_array .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^def load_image_into_numpy_array(path):$/;" f
matplotlib .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import matplotlib$/;" i
matplotlib .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import matplotlib.pyplot as plt$/;" i
misc .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import scipy.misc$/;" i
model .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ model=detection_model)$/;" v
model .\script.js /^var model = undefined;$/;" v
model_builder .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from object_detection.builders import model_builder$/;" i
model_config .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^model_config = configs['model']$/;" v
model_dir .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^model_dir = '\/content\/training\/'$/;" v
model_dir .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^model_dir = '\/content\/training\/ckpt-2'$/;" v
model_name .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^model_name = MODELS_CONFIG[chosen_model]['model_name']$/;" v
n .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ n = f.write(s)$/;" v
np .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import numpy as np$/;" i
num_classes .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^num_classes = get_num_classes(label_map_pbtxt_fname)$/;" v
num_eval_steps .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^num_eval_steps = 500 #Perform evaluation after so many steps$/;" v
num_steps .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^num_steps = 1800 #40000 #The more steps, the longer the training. Increase if your loss function is still decreasing and validation metrics are increasing. $/;" v
os .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import os #KOSTA$/;" i
output_directory .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^output_directory = '\/content\/fine_tuned_model'$/;" v
pipeline_config .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^pipeline_config = pipeline_file$/;" v
pipeline_file .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^pipeline_file = '\/content\/models\/research\/deploy\/ssd_mobilenet_v2_320x320_coco17_tpu-8.config'$/;" v
pipeline_fname .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^pipeline_fname = '\/content\/models\/research\/deploy\/' + base_pipeline_file$/;" v
plot_detections .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^def plot_detections(image_np,$/;" f
plt .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import matplotlib.pyplot as plt$/;" i
predictWebcamTF .\script.js /^function predictWebcamTF() {$/;" f
pretrained_checkpoint .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^pretrained_checkpoint = MODELS_CONFIG[chosen_model]['pretrained_checkpoint']$/;" v
random .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import random$/;" i
re .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import re$/;" i
renderPredictionBoxes .\script.js /^function renderPredictionBoxes (predictionBoxes, predictionClasses, predictionScores)$/;" f
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = f.read()$/;" v
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = re.sub($/;" v
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = re.sub('batch_size: [0-9]+',$/;" v
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = re.sub('fine_tune_checkpoint: ".*?"',$/;" v
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = re.sub('num_classes: [0-9]+',$/;" v
s .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^ s = re.sub('num_steps: [0-9]+',$/;" v
scipy .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import scipy.misc$/;" i
tar .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^tar = tarfile.open(pretrained_checkpoint)$/;" v
tarfile .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import tarfile$/;" i
test_record_fname .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^test_record_fname = '\/content\/valid\/pieces.tfrecord'$/;" v
tf .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^import tensorflow as tf$/;" i
tf4d_ .\script.js /^ var tf4d_ = tf.tensor4d(Array.from(resized.dataSync()), [1,vidHeight, vidWidth, 3]);$/;" v
train_record_fname .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^train_record_fname = '\/content\/train\/toymnm.tfrecord'$/;" v
vidHeight .\script.js /^var vidHeight = 0;$/;" v
viz_utils .\model\mobile_netv2\TrainEnv\RoboflowTrainFile.py /^from object_detection.utils import visualization_utils as viz_utils$/;" i
xStart .\script.js /^var xStart = 0;$/;" v
yStart .\script.js /^var yStart = 0;$/;" v
— .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^—:$/;" l
ÿÿÿÿÿÿÿÿÿ2 .\model\mobile_netv2\TrainEnv\KerasSaved_model\saved_model.pb /^ÿÿÿÿÿÿÿÿÿ2:$/;" l