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[bitnami/tensorflow-resnet] Release 2.19.1-debian-12-r9 (#91777)

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Signed-off-by: Bitnami Bot <bitnami.bot@broadcom.com>
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Bitnami Bot
2026-03-21 06:37:55 +01:00
committed by GitHub
parent 1a23b9cf94
commit f46edfe019
2 changed files with 4 additions and 8 deletions
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4
bitnami/tensorflow-resnet/2/debian-12/Dockerfile
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@@ -7,7 +7,7 @@ ARG DOWNLOADS_URL="downloads.bitnami.com/files/stacksmith"
ARG TARGETARCH
LABEL org.opencontainers.image.base.name="docker.io/bitnami/minideb:bookworm" \
org.opencontainers.image.created="2026-02-19T05:04:53Z" \
org.opencontainers.image.created="2026-03-21T05:28:48Z" \
org.opencontainers.image.description="Application packaged by Broadcom, Inc." \
org.opencontainers.image.documentation="https://github.com/bitnami/containers/tree/main/bitnami/tensorflow-resnet/README.md" \
org.opencontainers.image.source="https://github.com/bitnami/containers/tree/main/bitnami/tensorflow-resnet" \
@@ -48,7 +48,7 @@ RUN mkdir /.local && chmod g+rwX /.local
COPY rootfs /
ENV APP_VERSION="2.19.1" \
BITNAMI_APP_NAME="tensorflow-resnet" \
IMAGE_REVISION="8" \
IMAGE_REVISION="9" \
PATH="/opt/bitnami/tensorflow-resnet/bin:$PATH"
USER 1001

8
bitnami/tensorflow-resnet/README.md
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@@ -1,7 +1,5 @@
# Bitnami Secure Image for TensorFlow ResNet
## What is TensorFlow ResNet?
> TensorFlow ResNet is a client utility for use with TensorFlow Serving and ResNet models.
[Overview of TensorFlow ResNet](https://github.com/tensorflow/models)
@@ -43,10 +41,6 @@ Non-root container images add an extra layer of security and are generally recom
Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags [in our documentation page](https://techdocs.broadcom.com/us/en/vmware-tanzu/application-catalog/tanzu-application-catalog/services/tac-doc/apps-tutorials-understand-rolling-tags-containers-index.html).
## Prerequisites
To run this application you need Docker Engine 1.10.0.
## How to use this image
### Run TensorFlow ResNet client with TensorFlow Serving
@@ -109,6 +103,8 @@ You can use these snapshots to restore the application state should the upgrade
## Configuration
The following section describes how to configure the application
### Predict an image
Once you have deployed both the TensorFlow Serving and TensorFlow ResNet containers you can use the `resnet_client_cc` utility to predict images. To do that follow the next steps: