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upgrade to latest openvino version (#11563)

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This commit is contained in:
Blake Blackshear
2024-05-27 15:49:35 -05:00
committed by GitHub
parent a86e22e0fc
commit bfeb7b8a96
6 changed files with 83 additions and 41 deletions
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11
docker/main/Dockerfile
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@@ -57,9 +57,11 @@ RUN apt-get -qq update \
&& pip install -r /requirements-ov.txt
# Get OpenVino Model
RUN mkdir /models \
&& cd /models && omz_downloader --name ssdlite_mobilenet_v2 \
&& cd /models && omz_converter --name ssdlite_mobilenet_v2 --precision FP16
RUN --mount=type=bind,source=docker/main/build_ov_model.py,target=/build_ov_model.py \
mkdir /models && cd /models \
&& wget http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
&& tar -xvf ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
&& python3 /build_ov_model.py
# libUSB - No Udev
@@ -97,7 +99,8 @@ RUN wget -qO edgetpu_model.tflite https://github.com/google-coral/test_data/raw/
RUN wget -qO cpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite
COPY labelmap.txt .
# Copy OpenVino model
COPY --from=ov-converter /models/public/ssdlite_mobilenet_v2/FP16 openvino-model
COPY --from=ov-converter /models/ssdlite_mobilenet_v2.xml openvino-model/
COPY --from=ov-converter /models/ssdlite_mobilenet_v2.bin openvino-model/
RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/dataset_classes/coco_91cl_bkgr.txt -O openvino-model/coco_91cl_bkgr.txt && \
sed -i 's/truck/car/g' openvino-model/coco_91cl_bkgr.txt
# Get Audio Model and labels

11
docker/main/build_ov_model.py Normal file
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@@ -0,0 +1,11 @@
import openvino as ov
from openvino.tools import mo
ov_model = mo.convert_model(
"/models/ssdlite_mobilenet_v2_coco_2018_05_09/frozen_inference_graph.pb",
compress_to_fp16=True,
transformations_config="/usr/local/lib/python3.9/dist-packages/openvino/tools/mo/front/tf/ssd_v2_support.json",
tensorflow_object_detection_api_pipeline_config="/models/ssdlite_mobilenet_v2_coco_2018_05_09/pipeline.config",
reverse_input_channels=True,
)
ov.save_model(ov_model, "/models/ssdlite_mobilenet_v2.xml")

6
docker/main/requirements-ov.txt
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@@ -1,5 +1,3 @@
numpy
# Openvino Library - Custom built with MYRIAD support
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
openvino-dev[tensorflow2] @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino_dev-2022.3.1-1-py3-none-any.whl
tensorflow
openvino-dev>=2024.0.0

4
docker/main/requirements-wheels.txt
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@@ -30,6 +30,4 @@ setproctitle == 1.3.*
ws4py == 0.5.*
unidecode == 1.3.*
onnxruntime == 1.16.*
# Openvino Library - Custom built with MYRIAD support
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.3.1/openvino-2022.3.1-1-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
openvino == 2024.1.*