Anuj Mittal
aad256f13b
openvino-model-optimizer: upgrade 2021.2 -> 2021.3
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2021-04-22 14:42:29 +08:00
Anuj Mittal
6267eaeee9
openvino-model-optimizer: upgrade 2021.1 -> 2021.2
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2020-12-30 12:41:42 +08:00
Anuj Mittal
cdc83c9107
openvino-model-optimizer: upgrade 2020.4 -> 2021.1
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Release notes:
https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2020-10-08 12:10:54 +08:00
Anuj Mittal
c47a273ebb
openvino-model-optimizer: upgrade 2020.3 -> 2020.4
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For release notes, see:
https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html
The repository now tries to download LFS content that only has
documentation. Disable it.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2020-08-14 09:48:30 +08:00
Anuj Mittal
f1b138cb99
openvino-model-optimizer: upgrade 2020.1 -> 2020.3
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The repository location and name has changed. Release notes:
https://software.intel.com/content/www/us/en/develop/articles/openvino-2020-3-lts-relnotes.html
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2020-06-12 16:51:18 +08:00
Anuj Mittal
39bbb90d27
dldt-model-optimizer: upgrade 2019r3.1 -> 2020r1
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2020-04-14 10:53:06 +08:00
Ross Burton
c5b7c5baf7
vino: set CVE_PRODUCT
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Signed-off-by: Ross Burton <ross.burton@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-11-13 06:02:59 +08:00
Chin Huat Ang
09ba2ea7d2
dldt-model-optimizer: upgrade 2019r3 -> 2019r3.1
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Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-11-01 11:34:29 +08:00
Anuj Mittal
eacd8eb9f7
dldt-model-optimizer: upgrade 2019r2 -> 2019r3
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For changes in this release, see:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-10-25 10:06:32 +08:00
Anuj Mittal
7aef51c962
dldt-model-optimizer: add recipe
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Model Optimizer is a cross-platform command-line tool that facilitates
the transition between the training and deployment environment,
performs static model analysis, and adjusts deep learning models for
optimal execution on end-point target devices.
For more details, see:
https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv
Since the recipe requires bits from meta-python, move this to the
dynamic layers section and add meta-python to BBFILES_DYNAMIC.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
2019-09-24 10:24:42 +08:00
