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2019-08-09rename README -> README.mdHongxu Jia
The markdown formatting to make it easier for new users to read Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09add TODOHongxu Jia
- Move future plan to from README to TODO - The offline build has already supported, remove it from future plan Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09add LIMITATION.mdHongxu Jia
Move limitation from README to LIMITATION.md Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09add MAINTAINERS.mdHongxu Jia
Move maintenance from README to MAINTAINERS.md Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09add BUILD.mdHongxu Jia
Move `build and run' section from README to BUILD.md Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: add meta-tensorflow title for READMEHongxu Jia
The title for README is meta-tensorflow Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: add attribution statementHongxu Jia
Follow tensorflow brand guidelines: `Please only use the TensorFlow name and marks when accurately referencing this software distribution... When referring to our marks, please include the following attribution statement:' https://www.tensorflow.org/extras/tensorflow_brand_guidelines.pdf Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09tensorflow does not support to run pre-build model on big-endian platformHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09use pre-build openjdk-8-native 212b04 to replace meta-javaHongxu Jia
The openjdk-8-native 212b04 is a pre-build binary from ojdkbuild which is a community build using source code from OpenJDK project. [https://github.com/ojdkbuild/ojdkbuild] The reason to use it rather than build from source by meta-java: - The meta-java introduce extra 38 depend recipes to openjdk-8-native, without meta-java could save build time 20%, and will not be broke by meta-java build failure - Only use openjdk-8-native to build bazel-native, and then use bazel-native to build others, any target recipes/packages does not require openjdk-8-native directly The pre-build binary only supports on x86-64, for other hosts, we could add use the one provided by meta-java. What you do is just add layer meta-java to your build. The idea refers meta-renesas-ai: https://github.com/renesas-rz/meta-renesas-ai/blob/master/meta-tensorflow/recipes-devtools/openjdk/openjdk-8-native_151-1.b12.bb Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: support offline buildHongxu Jia
Once bazel fetches tarballs from internet, it will save them to distdir. And the following build support offline build. Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: upstream upstream repositoryHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09tensorflow: update label_image.lite default model to latestHongxu Jia
Previously model does not accurate, refer upstream: https://www.tensorflow.org/lite/models/image_classification/overview update to latest modle. Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: add TensorFlow/TensorFlow Lite C++ Image Recognition DemoHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09README: revise future planHongxu Jia
Add required bsp layer, build beagleboard, raspberrypi, genericx86 (including atom), genericx86-64, and imx6sxsabresd successfully. So remove beagleboard, raspberrypi, atom from future plan. Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
2019-08-09add READMEHongxu Jia
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>
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