-
Notifications
You must be signed in to change notification settings - Fork 1
/
model_downloader_commands.txt
114 lines (70 loc) · 8.02 KB
/
model_downloader_commands.txt
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
Following model downloaded using openvino 2019R3 model downloader[All precision]
Usage[Windows10]: python yourpath/downloader.py --name modelname -o "yourpathtosavemodels\"
1. python downloader.py --name gaze-estimation-adas-0002 -o "outdirepath\git_ign\models\"
2. python downloader.py --name face-detection-adas-binary-0001 -o "outdirepath\git_ign\models\"
3. python downloader.py --name head-pose-estimation-adas-0001 -o "outdirepath\git_ign\models\"
4. python downloader.py --name landmarks-regression-retail-0009 -o "outdirepath\git_ign\models\"
============================ OUPUT WINDOWS10 =========================================
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --gaze-estimation-adas-0002 --precisions all -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
error: unrecognized arguments: --gaze-estimation-adas-0002
usage: downloader.py [-h] [-c CONFIG.YML] [--name PAT[,PAT...]]
[--list FILE.LST] [--all] [--print_all]
[--precisions PREC[,PREC...]] [-o DIR] [--cache_dir DIR]
[--num_attempts N] [--progress_format {text,json}]
optional arguments:
-h, --help show this help message and exit
-c CONFIG.YML, --config CONFIG.YML
model configuration file (deprecated)
--name PAT[,PAT...] download only models whose names match at least one of
the specified patterns
--list FILE.LST download only models whose names match at least one of
the patterns in the specified file
--all download all available models
--print_all print all available models
--precisions PREC[,PREC...]
download only models with the specified precisions
(actual for DLDT networks)
-o DIR, --output_dir DIR
path where to save models
--cache_dir DIR directory to use as a cache for downloaded files
--num_attempts N attempt each download up to N times
--progress_format {text,json}
which format to use for progress reporting
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --name gaze-estimation-adas-0002 --precisions all -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
Unknown precisions specified: all.
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --name gaze-estimation-adas-0002 -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
################|| Downloading models ||################
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\FP32\gaze-estimation-adas-0002.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\FP32\gaze-estimation-adas-0002.bin
... 100%, 7352 KB, 1430 KB/s, 5 seconds passed
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\FP16\gaze-estimation-adas-0002.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\FP16\gaze-estimation-adas-0002.bin
... 100%, 3676 KB, 1668 KB/s, 2 seconds passed
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\INT8\gaze-estimation-adas-0002.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\gaze-estimation-adas-0002\INT8\gaze-estimation-adas-0002.bin
... 100%, 7352 KB, 2230 KB/s, 3 seconds passed
################|| Post-processing ||################
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --name face-detection-adas-binary-0001 -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
################|| Downloading models ||################
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\face-detection-adas-binary-0001\INT1\face-detection-adas-binary-0001.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\face-detection-adas-binary-0001\INT1\face-detection-adas-binary-0001.bin
... 100%, 1797 KB, 1045 KB/s, 1 seconds passed
################|| Post-processing ||################
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --name head-pose-estimation-adas-0001 -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
################|| Downloading models ||################
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\head-pose-estimation-adas-0001\FP32\head-pose-estimation-adas-0001.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\head-pose-estimation-adas-0001\FP32\head-pose-estimation-adas-0001.bin
... 100%, 7466 KB, 1430 KB/s, 5 seconds passed
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\head-pose-estimation-adas-0001\FP16\head-pose-estimation-adas-0001.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\head-pose-estimation-adas-0001\FP16\head-pose-estimation-adas-0001.bin
... 100%, 3733 KB, 1194 KB/s, 3 seconds passed
################|| Post-processing ||################
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\open_model_zoo\tools\model_downloader>downloader.py --name landmarks-regression-retail-0009 -o "D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\
################|| Downloading models ||################
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\landmarks-regression-retail-0009\FP32\landmarks-regression-retail-0009.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\landmarks-regression-retail-0009\FP32\landmarks-regression-retail-0009.bin
... 100%, 744 KB, 529 KB/s, 1 seconds passed
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\landmarks-regression-retail-0009\FP16\landmarks-regression-retail-0009.xml
========== Downloading D:\edx\Intel_A_I\NanoDegree Intel Edge AI for IoT Developers\Code and Project\ND_Computer Pointer Controller\git_ign\models\intel\landmarks-regression-retail-0009\FP16\landmarks-regression-retail-0009.bin
... 100%, 372 KB, 449 KB/s, 0 seconds passed
################|| Post-processing ||################