From 3c786c488c32ad56a688c1f940d341f181b4b35e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Rapha=C3=ABl=20Bournhonesque?= <raphael@bournhonesque.eu>
Date: Fri, 28 Oct 2022 12:42:40 +0200
Subject: [PATCH] feat: switch all object detection models to Triton (#622)

- switch to Triton, use gRPC protocol for faster transfer
- only request needed output fields (resolves #942)
- get rid of CategoryIndex and protobuf-generated files
---
 .env                                          |    3 +
 .github/workflows/container-deploy-ml.yml     |    2 +-
 .github/workflows/container-deploy.yml        |    2 +
 .github/workflows/models-deploy.yml           |   29 +-
 docker-compose.yml                            |    2 +
 docker/ml.yml                                 |   20 +
 poetry.lock                                   | 1772 +++--------------
 pyproject.toml                                |    1 +
 robotoff/models.py                            |    6 +-
 robotoff/prediction/object_detection/core.py  |  130 +-
 .../object_detection/utils/label_map_util.py  |  192 --
 .../utils/string_int_label_map.proto          |   24 -
 .../utils/string_int_label_map_pb2.py         |  166 --
 .../utils/visualization_utils.py              |    9 +-
 robotoff/settings.py                          |   13 +-
 scripts/object_detection/run_local.py         |  140 --
 tests/unit/insights/test_extraction.py        |    4 +-
 17 files changed, 426 insertions(+), 2089 deletions(-)
 delete mode 100644 robotoff/prediction/object_detection/utils/label_map_util.py
 delete mode 100644 robotoff/prediction/object_detection/utils/string_int_label_map.proto
 delete mode 100644 robotoff/prediction/object_detection/utils/string_int_label_map_pb2.py
 delete mode 100644 scripts/object_detection/run_local.py

diff --git a/.env b/.env
index 97691de863..5e18d0ddcb 100644
--- a/.env
+++ b/.env
@@ -37,6 +37,9 @@ POSTGRES_USER=postgres
 POSTGRES_PASSWORD=postgres
 POSTGRES_EXPOSE=127.0.0.1:5432
 
+# Triton ML inference server
+TRITON_HOST=triton
+
 # InfluxDB
 INFLUXDB_HOST=
 INFLUXDB_PORT=8086
diff --git a/.github/workflows/container-deploy-ml.yml b/.github/workflows/container-deploy-ml.yml
index 4dfd429989..aedda29205 100644
--- a/.github/workflows/container-deploy-ml.yml
+++ b/.github/workflows/container-deploy-ml.yml
@@ -4,7 +4,7 @@ on:
   push:
     branches:
       - master
-      - tf-serving-deploy-*
+      - ml-deploy-*
     # only update on push if ml.yml changed (does not apply to tags)
     paths:
       - docker/ml.yml
diff --git a/.github/workflows/container-deploy.yml b/.github/workflows/container-deploy.yml
index bdc2f50d82..1248982d06 100644
--- a/.github/workflows/container-deploy.yml
+++ b/.github/workflows/container-deploy.yml
@@ -98,7 +98,9 @@ jobs:
           echo "OFF_PASSWORD=${{ secrets.OFF_PASSWORD }}" >> .env
           echo "SENTRY_DSN=${{ secrets.SENTRY_DSN }}" >> .env
           echo "ELASTICSEARCH_HOSTS=elasticsearch" >> .env
+          # TODO remove when triton is deployed, and category model is retrained for triton
           echo "TF_SERVING_HOST=${{ secrets.TF_SERVING_HOST }}" >> .env
+          echo "TRITON_HOST=${{ secrets.TRITON_HOST }}" >> .env
           echo "INFLUXDB_HOST=${{ secrets.INFLUXDB_HOST }}" >> .env
           echo "INFLUXDB_PORT=8086" >> .env
           echo "INFLUXDB_DB_NAME=${{ matrix.env == 'robotoff-org' && 'off_metrics' || 'off_net_metrics' }}" >> .env
diff --git a/.github/workflows/models-deploy.yml b/.github/workflows/models-deploy.yml
index 277e281ee6..fc83e4aab4 100644
--- a/.github/workflows/models-deploy.yml
+++ b/.github/workflows/models-deploy.yml
@@ -1,14 +1,12 @@
-name: Sync Tensorflow models to Proxmox VM
-on: 
+name: Sync ML models to Proxmox VM
+on:
   push:
-    branches:
-      - master
-      - deploy-*
-    tags: 
+    tags:
       - v*.*.*
+      - model-deploy*
 jobs:
-  tfmodels-sync:
-    name: Sync TF models
+  ml-models-sync:
+    name: Sync ML models
     runs-on: ubuntu-latest
     environment: ${{ matrix.env }}
     concurrency: ${{ matrix.env }}-${{ matrix.asset_name }}
@@ -35,17 +33,17 @@ jobs:
           proxy_username: ${{ secrets.USERNAME }}
           proxy_key: ${{ secrets.SSH_PRIVATE_KEY }}
           script: |
-            cd ${{ matrix.env }}/tf_models
+            cd ${{ matrix.env }}/models
             dir=`echo ${{ matrix.asset_name }} | sed 's/tf-//g'`
             mkdir -p ${dir} ${dir}/1
-            wget -cO - /~https://github.com/openfoodfacts/robotoff-models/releases/download/${{ matrix.asset_name }}-1.0/label_map.pbtxt > ${dir}/labels.pbtxt
-            wget -cO - /~https://github.com/openfoodfacts/robotoff-models/releases/download/${{ matrix.asset_name }}-1.0/saved_model.tar.gz > ${dir}/1/saved_model.tar.gz
-            cd ${dir}/1
-            tar -xzvf saved_model.tar.gz --strip-component=1
-            rm saved_model.tar.gz
+            wget -cO - /~https://github.com/openfoodfacts/robotoff-models/releases/download/${{ matrix.asset_name }}-1.0/labels.txt > ${dir}/labels.txt
+
+            if [ ${{ matrix.env }} = 'robotoff-ml' ]; then
+              wget -cO - /~https://github.com/openfoodfacts/robotoff-models/releases/download/${{ matrix.asset_name }}-1.0/model.onnx > ${dir}/1/model.onnx
+            fi
 
   # The category classifier has the pre- and post-processing built in, therefore
-  # it requires a slightly different sequence of steps to the 'tfmodels-sync' above.
+  # it requires a slightly different sequence of steps to the 'ml-models-sync' above.
   tfmodels-category-classifier-sync:
     name: Sync Category Classifier
     runs-on: ubuntu-latest
@@ -76,4 +74,3 @@ jobs:
             cd ${dir}/1
             tar -xzvf saved_model.tar.gz --strip-component=1
             rm saved_model.tar.gz
-
diff --git a/docker-compose.yml b/docker-compose.yml
index cc11af1d79..2887abf05d 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -36,6 +36,8 @@ x-robotoff-base-env: &robotoff-base-env
   SENTRY_DSN:
   ELASTICSEARCH_HOSTS:
   TF_SERVING_HOST:
+  TRITON_HOST:
+
 
 services:
   api:
diff --git a/docker/ml.yml b/docker/ml.yml
index 7ed8aab629..9f532a1059 100644
--- a/docker/ml.yml
+++ b/docker/ml.yml
@@ -14,5 +14,25 @@ services:
     networks:
       - webnet
 
+  triton:
+    restart: $RESTART_POLICY
+    # This is a custom built of Triton with:
+    # - GRPC/HTTP support
+    # - CPU only (we don't have GPU in production)
+    # - Tensorflow 2 SavedModel and ONNX support
+    # This allows us to reduce significantly the image size
+    # See https://gist.github.com/raphael0202/091e521f2c79a8db8c6e9aceafb6e0b9 for build script
+    image: ghcr.io/openfoodfacts/triton:latest
+    ports:
+      - ${TRITON_EXPOSE_HTTP:-8000}:8000
+      - ${TRITON_EXPOSE_GRPC:-8001}:8001
+      - ${TRITON_EXPOSE_METRICS:-8002}:8002
+    volumes:
+      - ./models:/models
+    entrypoint: "tritonserver --model-repository=/models"
+    mem_limit: 10g
+    networks:
+      - webnet
+
 networks:
   webnet:
diff --git a/poetry.lock b/poetry.lock
index c74d0a9afd..c9853ce28a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -8,7 +8,6 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
 [package.dependencies]
 pytz = "*"
-setuptools = ">=0.7"
 six = ">=1.4.0"
 tzlocal = ">=2.0,<3.0.0 || >=4.0.0"
 
@@ -20,7 +19,7 @@ mongodb = ["pymongo (>=3.0)"]
 redis = ["redis (>=3.0)"]
 rethinkdb = ["rethinkdb (>=2.4.0)"]
 sqlalchemy = ["sqlalchemy (>=0.8)"]
-testing = ["mock", "pytest (<6)", "pytest-asyncio", "pytest-asyncio (<0.6)", "pytest-cov", "pytest-tornado5"]
+testing = ["pytest (<6)", "pytest-cov", "pytest-tornado5", "mock", "pytest-asyncio (<0.6)", "pytest-asyncio"]
 tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
@@ -42,10 +41,10 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
 
 [[package]]
 name = "backports.zoneinfo"
@@ -75,7 +74,7 @@ tomli = ">=0.2.6,<2.0.0"
 typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
 typing-extensions = [
     {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
-    {version = ">=3.10.0.0,<3.10.0.1 || >3.10.0.1", markers = "python_version >= \"3.10\""},
+    {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
@@ -87,7 +86,7 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "blis"
-version = "0.7.8"
+version = "0.7.9"
 description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
 category = "main"
 optional = false
@@ -149,7 +148,7 @@ optional = false
 python-versions = ">=3.5.0"
 
 [package.extras]
-unicode-backport = ["unicodedata2"]
+unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
@@ -161,22 +160,22 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "colorama"
-version = "0.4.5"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 
 [[package]]
 name = "confection"
-version = "0.0.2"
+version = "0.0.3"
 description = "The sweetest config system for Python"
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.10.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 srsly = ">=2.4.0,<3.0.0"
 typing-extensions = {version = ">=3.7.4.1,<4.2.0", markers = "python_version < \"3.8\""}
 
@@ -204,7 +203,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "cymem"
-version = "2.0.6"
+version = "2.0.7"
 description = "Manage calls to calloc/free through Cython"
 category = "main"
 optional = false
@@ -219,7 +218,7 @@ optional = false
 python-versions = ">=3.6"
 
 [package.extras]
-dev = ["black", "coveralls", "mypy", "pylint", "pytest (>=5)", "pytest-cov"]
+dev = ["pylint", "mypy", "black", "coveralls", "pytest-cov", "pytest (>=5)"]
 
 [[package]]
 name = "distlib"
@@ -231,7 +230,7 @@ python-versions = "*"
 
 [[package]]
 name = "domdf-python-tools"
-version = "3.4.0"
+version = "3.5.0"
 description = "Helpful functions for Python 🐍 🛠️"
 category = "dev"
 optional = false
@@ -260,7 +259,7 @@ urllib3 = ">=1.21.1,<2"
 
 [package.extras]
 async = ["aiohttp (>=3,<4)"]
-develop = ["black", "coverage", "jinja2", "mock", "pytest", "pytest-cov", "pyyaml", "requests (>=2.0.0,<3.0.0)", "sphinx (<1.7)", "sphinx-rtd-theme"]
+develop = ["requests (>=2.0.0,<3.0.0)", "coverage", "mock", "pyyaml", "pytest", "pytest-cov", "sphinx (<1.7)", "sphinx-rtd-theme", "black", "jinja2"]
 docs = ["sphinx (<1.7)", "sphinx-rtd-theme"]
 requests = ["requests (>=2.4.0,<3.0.0)"]
 
@@ -276,8 +275,8 @@ python-versions = ">=3.6"
 Faker = ">=0.7.0"
 
 [package.extras]
-dev = ["Django", "Pillow", "SQLAlchemy", "coverage", "flake8", "isort", "mongoengine", "tox", "wheel (>=0.32.0)", "zest.releaser[recommended]"]
-doc = ["Sphinx", "sphinx-rtd-theme", "sphinxcontrib-spelling"]
+dev = ["coverage", "django", "flake8", "isort", "pillow", "sqlalchemy", "mongoengine", "wheel (>=0.32.0)", "tox", "zest.releaser"]
+doc = ["sphinx", "sphinx-rtd-theme", "sphinxcontrib-spelling"]
 
 [[package]]
 name = "factory-boy-peewee"
@@ -293,7 +292,7 @@ peewee = "*"
 
 [[package]]
 name = "faker"
-version = "15.0.0"
+version = "15.3.1"
 description = "Faker is a Python package that generates fake data for you."
 category = "dev"
 optional = false
@@ -301,7 +300,7 @@ python-versions = ">=3.7"
 
 [package.dependencies]
 python-dateutil = ">=2.4"
-typing-extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.8\""}
+typing-extensions = {version = ">=3.10.0.1", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "falcon"
@@ -376,7 +375,7 @@ attrs = ">=19.2.0"
 flake8 = ">=3.0.0"
 
 [package.extras]
-dev = ["black", "coverage", "hypothesis", "hypothesmith"]
+dev = ["coverage", "black", "hypothesis", "hypothesmith"]
 
 [[package]]
 name = "flake8-github-actions"
@@ -410,7 +409,21 @@ python-versions = "*"
 python-dateutil = ">=2.8.1"
 
 [package.extras]
-dev = ["flake8", "markdown", "twine", "wheel"]
+dev = ["wheel", "flake8", "markdown", "twine"]
+
+[[package]]
+name = "grpcio"
+version = "1.41.0"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = ">=1.5.2"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.41.0)"]
 
 [[package]]
 name = "gunicorn"
@@ -420,9 +433,6 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
-[package.dependencies]
-setuptools = ">=3.0"
-
 [package.extras]
 eventlet = ["eventlet (>=0.24.1)"]
 gevent = ["gevent (>=1.4.0)"]
@@ -431,7 +441,7 @@ tornado = ["tornado (>=0.2)"]
 
 [[package]]
 name = "identify"
-version = "2.5.5"
+version = "2.5.8"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -461,12 +471,12 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["jaraco.packaging (>=8.2)", "rst.linker (>=1.9)", "sphinx"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pep517", "pyfakefs", "pytest (>=4.6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-flake8", "pytest-mypy"]
+docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
 
 [[package]]
 name = "importlib-resources"
-version = "5.9.0"
+version = "5.10.0"
 description = "Read resources from Python packages"
 category = "main"
 optional = false
@@ -476,8 +486,8 @@ python-versions = ">=3.7"
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "influxdb"
@@ -495,7 +505,7 @@ requests = ">=2.17.0"
 six = ">=1.10.0"
 
 [package.extras]
-test = ["mock", "nose", "nose-cov", "requests-mock"]
+test = ["nose", "nose-cov", "mock", "requests-mock"]
 
 [[package]]
 name = "iniconfig"
@@ -514,10 +524,10 @@ optional = false
 python-versions = ">=3.6.1,<4.0"
 
 [package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
-pipfile-deprecated-finder = ["pipreqs", "requirementslib"]
 plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jinja2"
@@ -550,7 +560,7 @@ typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
 [[package]]
 name = "kiwisolver"
@@ -700,11 +710,11 @@ pymdown-extensions = ">=7.0"
 
 [[package]]
 name = "mkdocs-material-extensions"
-version = "1.0.3"
-description = "Extension pack for Python Markdown."
+version = "1.1"
+description = "Extension pack for Python Markdown and MkDocs Material."
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [[package]]
 name = "more-itertools"
@@ -724,7 +734,7 @@ python-versions = "*"
 
 [[package]]
 name = "murmurhash"
-version = "1.0.8"
+version = "1.0.9"
 description = "Cython bindings for MurmurHash"
 category = "main"
 optional = false
@@ -777,9 +787,6 @@ category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "numpy"
 version = "1.19.5"
@@ -828,10 +835,10 @@ smart-open = ">=5.2.1,<6.0.0"
 typer = ">=0.3.0,<1.0.0"
 
 [package.extras]
-all = ["boto3", "google-cloud-storage (>=1.26.0,<2.0.0)", "mock", "pytest", "pytest-coverage", "typer-cli"]
-gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
+test = ["typer-cli", "mock", "pytest-coverage", "pytest"]
 s3 = ["boto3"]
-test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
+gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
+all = ["typer-cli", "mock", "pytest-coverage", "pytest", "boto3", "google-cloud-storage (>=1.26.0,<2.0.0)"]
 
 [[package]]
 name = "peewee"
@@ -859,15 +866,15 @@ python-versions = "*"
 
 [[package]]
 name = "platformdirs"
-version = "2.5.2"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "2.5.3"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx (>=4)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx-autodoc-typehints (>=1.19.4)", "sphinx (>=5.3)"]
+test = ["appdirs (==1.4.4)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest (>=7.2)"]
 
 [[package]]
 name = "pluggy"
@@ -881,8 +888,8 @@ python-versions = ">=3.6"
 importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 
 [package.extras]
-dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["pytest-benchmark", "pytest"]
+dev = ["tox", "pre-commit"]
 
 [[package]]
 name = "pre-commit"
@@ -903,7 +910,7 @@ virtualenv = ">=20.0.8"
 
 [[package]]
 name = "preshed"
-version = "3.0.7"
+version = "3.0.8"
 description = "Cython hash table that trusts the keys are pre-hashed"
 category = "main"
 optional = false
@@ -926,7 +933,7 @@ six = ">=1.9"
 
 [[package]]
 name = "psycopg2-binary"
-version = "2.9.3"
+version = "2.9.5"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 category = "main"
 optional = false
@@ -961,14 +968,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "pydantic"
-version = "1.9.2"
+version = "1.10.2"
 description = "Data validation and settings management using python type hints"
 category = "main"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
 
 [package.dependencies]
-typing-extensions = ">=3.7.4.3"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 dotenv = ["python-dotenv (>=0.10.4)"]
@@ -995,7 +1002,7 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "9.5"
+version = "9.8"
 description = "Extension pack for Python Markdown."
 category = "dev"
 optional = false
@@ -1016,7 +1023,7 @@ python-versions = "*"
 aws = ["pymongo-auth-aws (<2.0.0)"]
 encryption = ["pymongocrypt (>=1.1.0,<2.0.0)"]
 gssapi = ["pykerberos"]
-ocsp = ["certifi", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
+ocsp = ["pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)", "certifi"]
 snappy = ["python-snappy"]
 srv = ["dnspython (>=1.16.0,<1.17.0)"]
 tls = ["ipaddress"]
@@ -1031,11 +1038,11 @@ optional = false
 python-versions = ">=3.6.8"
 
 [package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
+diagrams = ["railroad-diagrams", "jinja2"]
 
 [[package]]
 name = "pyrsistent"
-version = "0.18.1"
+version = "0.19.2"
 description = "Persistent/Functional/Immutable data structures"
 category = "main"
 optional = false
@@ -1077,7 +1084,7 @@ pytest = ">=4.6"
 toml = "*"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-httpserver"
@@ -1102,7 +1109,7 @@ python-versions = ">=3.7"
 pytest = ">=5.0"
 
 [package.extras]
-dev = ["pre-commit", "pytest-asyncio", "tox"]
+dev = ["pre-commit", "tox", "pytest-asyncio"]
 
 [[package]]
 name = "python-dateutil"
@@ -1115,9 +1122,17 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-rapidjson"
+version = "1.9"
+description = "Python wrapper around rapidjson"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "pytz"
-version = "2022.2.1"
+version = "2022.6"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1170,7 +1185,7 @@ urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
 socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
-use-chardet-on-py3 = ["chardet (>=3.0.2,<5)"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
 [[package]]
 name = "sentry-sdk"
@@ -1193,27 +1208,14 @@ celery = ["celery (>=3)"]
 chalice = ["chalice (>=1.16.0)"]
 django = ["django (>=1.8)"]
 falcon = ["falcon (>=1.4)"]
-flask = ["blinker (>=1.1)", "flask (>=0.11)"]
-pure-eval = ["asttokens", "executing", "pure-eval"]
+flask = ["flask (>=0.11)", "blinker (>=1.1)"]
+pure_eval = ["pure-eval", "executing", "asttokens"]
 pyspark = ["pyspark (>=2.4.4)"]
 rq = ["rq (>=0.6)"]
 sanic = ["sanic (>=0.8)"]
 sqlalchemy = ["sqlalchemy (>=1.2)"]
 tornado = ["tornado (>=5)"]
 
-[[package]]
-name = "setuptools"
-version = "65.5.0"
-description = "Easily download, build, install, upgrade, and uninstall Python packages"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mock", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
-
 [[package]]
 name = "shellingham"
 version = "1.5.0"
@@ -1239,17 +1241,17 @@ optional = false
 python-versions = ">=3.6,<4.0"
 
 [package.extras]
-all = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage", "requests"]
-azure = ["azure-common", "azure-core", "azure-storage-blob"]
+all = ["boto3", "google-cloud-storage", "azure-storage-blob", "azure-common", "azure-core", "requests"]
+azure = ["azure-storage-blob", "azure-common", "azure-core"]
 gcs = ["google-cloud-storage"]
 http = ["requests"]
 s3 = ["boto3"]
-test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage", "moto[server] (==1.3.14)", "parameterizedtestcase", "paramiko", "pathlib2", "pytest", "pytest-rerunfailures", "requests", "responses"]
+test = ["boto3", "google-cloud-storage", "azure-storage-blob", "azure-common", "azure-core", "requests", "moto[server] (==1.3.14)", "pathlib2", "responses", "paramiko", "parameterizedtestcase", "pytest", "pytest-rerunfailures"]
 webhdfs = ["requests"]
 
 [[package]]
 name = "spacy"
-version = "3.4.1"
+version = "3.4.2"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 category = "main"
 optional = false
@@ -1265,10 +1267,9 @@ numpy = ">=1.15.0"
 packaging = ">=20.0"
 pathy = ">=0.3.5"
 preshed = ">=3.0.2,<3.1.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.10.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 requests = ">=2.13.0,<3.0.0"
-setuptools = "*"
-spacy-legacy = ">=3.0.9,<3.1.0"
+spacy-legacy = ">=3.0.10,<3.1.0"
 spacy-loggers = ">=1.0.0,<2.0.0"
 srsly = ">=2.4.3,<3.0.0"
 thinc = ">=8.1.0,<8.2.0"
@@ -1279,24 +1280,26 @@ wasabi = ">=0.9.1,<1.1.0"
 
 [package.extras]
 apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
-cuda = ["cupy (>=5.0.0b4,<11.0.0)"]
-cuda100 = ["cupy-cuda100 (>=5.0.0b4,<11.0.0)"]
-cuda101 = ["cupy-cuda101 (>=5.0.0b4,<11.0.0)"]
-cuda102 = ["cupy-cuda102 (>=5.0.0b4,<11.0.0)"]
-cuda110 = ["cupy-cuda110 (>=5.0.0b4,<11.0.0)"]
-cuda111 = ["cupy-cuda111 (>=5.0.0b4,<11.0.0)"]
-cuda112 = ["cupy-cuda112 (>=5.0.0b4,<11.0.0)"]
-cuda113 = ["cupy-cuda113 (>=5.0.0b4,<11.0.0)"]
-cuda114 = ["cupy-cuda114 (>=5.0.0b4,<11.0.0)"]
-cuda115 = ["cupy-cuda115 (>=5.0.0b4,<11.0.0)"]
-cuda116 = ["cupy-cuda116 (>=5.0.0b4,<11.0.0)"]
-cuda117 = ["cupy-cuda117 (>=5.0.0b4,<11.0.0)"]
-cuda80 = ["cupy-cuda80 (>=5.0.0b4,<11.0.0)"]
-cuda90 = ["cupy-cuda90 (>=5.0.0b4,<11.0.0)"]
-cuda91 = ["cupy-cuda91 (>=5.0.0b4,<11.0.0)"]
-cuda92 = ["cupy-cuda92 (>=5.0.0b4,<11.0.0)"]
-ja = ["sudachidict-core (>=20211220)", "sudachipy (>=0.5.2,!=0.6.1)"]
-ko = ["natto-py (==0.9.0)"]
+cuda = ["cupy (>=5.0.0b4,<12.0.0)"]
+cuda-autodetect = ["cupy-wheel (>=11.0.0,<12.0.0)"]
+cuda100 = ["cupy-cuda100 (>=5.0.0b4,<12.0.0)"]
+cuda101 = ["cupy-cuda101 (>=5.0.0b4,<12.0.0)"]
+cuda102 = ["cupy-cuda102 (>=5.0.0b4,<12.0.0)"]
+cuda110 = ["cupy-cuda110 (>=5.0.0b4,<12.0.0)"]
+cuda111 = ["cupy-cuda111 (>=5.0.0b4,<12.0.0)"]
+cuda112 = ["cupy-cuda112 (>=5.0.0b4,<12.0.0)"]
+cuda113 = ["cupy-cuda113 (>=5.0.0b4,<12.0.0)"]
+cuda114 = ["cupy-cuda114 (>=5.0.0b4,<12.0.0)"]
+cuda115 = ["cupy-cuda115 (>=5.0.0b4,<12.0.0)"]
+cuda116 = ["cupy-cuda116 (>=5.0.0b4,<12.0.0)"]
+cuda117 = ["cupy-cuda117 (>=5.0.0b4,<12.0.0)"]
+cuda11x = ["cupy-cuda11x (>=11.0.0,<12.0.0)"]
+cuda80 = ["cupy-cuda80 (>=5.0.0b4,<12.0.0)"]
+cuda90 = ["cupy-cuda90 (>=5.0.0b4,<12.0.0)"]
+cuda91 = ["cupy-cuda91 (>=5.0.0b4,<12.0.0)"]
+cuda92 = ["cupy-cuda92 (>=5.0.0b4,<12.0.0)"]
+ja = ["sudachipy (>=0.5.2,!=0.6.1)", "sudachidict-core (>=20211220)"]
+ko = ["natto-py (>=0.9.0)"]
 lookups = ["spacy-lookups-data (>=1.0.3,<1.1.0)"]
 ray = ["spacy-ray (>=0.1.0,<1.0.0)"]
 th = ["pythainlp (>=2.0)"]
@@ -1329,12 +1332,9 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "srsly"
-version = "2.4.4"
+version = "2.4.5"
 description = "Modern high-performance serialization utilities for Python"
 category = "main"
 optional = false
@@ -1345,7 +1345,7 @@ catalogue = ">=2.0.3,<2.1.0"
 
 [[package]]
 name = "thinc"
-version = "8.1.2"
+version = "8.1.5"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 category = "main"
 optional = false
@@ -1359,8 +1359,7 @@ cymem = ">=2.0.2,<2.1.0"
 murmurhash = ">=1.0.2,<1.1.0"
 numpy = ">=1.15.0"
 preshed = ">=3.0.2,<3.1.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.10.0"
-setuptools = "*"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 srsly = ">=2.4.0,<3.0.0"
 typing-extensions = {version = ">=3.7.4.1,<4.2.0", markers = "python_version < \"3.8\""}
 wasabi = ">=0.8.1,<1.1.0"
@@ -1419,11 +1418,11 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "tomlkit"
-version = "0.11.5"
+version = "0.11.6"
 description = "Style preserving TOML library"
 category = "dev"
 optional = false
-python-versions = ">=3.6,<4.0"
+python-versions = ">=3.6"
 
 [[package]]
 name = "tqdm"
@@ -1442,6 +1441,25 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "tritonclient"
+version = "2.27.0"
+description = "Python client library and utilities for communicating with Triton Inference Server"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+grpcio = {version = "1.41.0", optional = true, markers = "extra == \"grpc\""}
+numpy = ">=1.19.1"
+protobuf = {version = ">=3.5.0,<3.20", optional = true, markers = "extra == \"grpc\""}
+python-rapidjson = ">=0.9.1"
+
+[package.extras]
+all = ["protobuf (>=3.5.0,<3.20)", "grpcio (==1.41.0)", "numpy (>=1.19.1)", "python-rapidjson (>=0.9.1)", "geventhttpclient (>=1.4.4,<=2.0.2)", "aiohttp (>=3.8.1)"]
+grpc = ["protobuf (>=3.5.0,<3.20)", "grpcio (==1.41.0)", "numpy (>=1.19.1)", "python-rapidjson (>=0.9.1)"]
+http = ["geventhttpclient (>=1.4.4,<=2.0.2)", "aiohttp (>=3.8.1)", "numpy (>=1.19.1)", "python-rapidjson (>=0.9.1)"]
+
 [[package]]
 name = "typed-ast"
 version = "1.5.4"
@@ -1462,10 +1480,10 @@ python-versions = ">=3.6"
 click = ">=7.1.1,<7.2.0"
 
 [package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)"]
-doc = ["markdown-include (>=0.5.1,<0.6.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=5.4.0,<6.0.0)"]
-test = ["black (>=19.10b0,<20.0b0)", "coverage (>=5.2,<6.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.782)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<2.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
+test = ["isort (>=5.0.6,<6.0.0)", "black (>=19.10b0,<20.0b0)", "mypy (==0.782)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<2.0.0)", "coverage (>=5.2,<6.0)", "pytest-cov (>=2.10.0,<3.0.0)", "pytest (>=4.4.0,<5.4.0)", "shellingham (>=1.3.0,<2.0.0)"]
+doc = ["markdown-include (>=0.5.1,<0.6.0)", "mkdocs-material (>=5.4.0,<6.0.0)", "mkdocs (>=1.1.2,<2.0.0)"]
+dev = ["flake8 (>=3.8.3,<4.0.0)", "autoflake (>=1.3.1,<2.0.0)"]
+all = ["shellingham (>=1.3.0,<2.0.0)", "colorama (>=0.4.3,<0.5.0)"]
 
 [[package]]
 name = "typer-cli"
@@ -1498,7 +1516,7 @@ python-versions = "*"
 
 [[package]]
 name = "types-protobuf"
-version = "3.20.4"
+version = "3.20.4.2"
 description = "Typing stubs for protobuf"
 category = "dev"
 optional = false
@@ -1522,7 +1540,7 @@ python-versions = "*"
 
 [[package]]
 name = "types-six"
-version = "1.16.21"
+version = "1.16.21.1"
 description = "Typing stubs for six"
 category = "dev"
 optional = false
@@ -1546,7 +1564,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "tzdata"
-version = "2022.4"
+version = "2022.6"
 description = "Provider of IANA time zone data"
 category = "main"
 optional = false
@@ -1567,7 +1585,7 @@ tzdata = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 devenv = ["black", "pyroma", "pytest-cov", "zest.releaser"]
-test = ["pytest (>=4.3)", "pytest-mock (>=3.3)"]
+test = ["pytest-mock (>=3.3)", "pytest (>=4.3)"]
 
 [[package]]
 name = "urllib3"
@@ -1578,8 +1596,8 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
+secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
@@ -1646,1381 +1664,155 @@ watchdog = ["watchdog"]
 
 [[package]]
 name = "zipp"
-version = "3.8.1"
+version = "3.10.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx"]
-testing = ["func-timeout", "jaraco.itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.7"
-content-hash = "2a538defeee16c370712f33efc237d96738684a53472f68354b3e2a27c79b562"
+content-hash = "f3ee59df28dff0ba3e2851e860b563553f118bb412447ad36b0deb32f84ee75d"
 
 [metadata.files]
-apscheduler = [
-    {file = "APScheduler-3.8.1-py2.py3-none-any.whl", hash = "sha256:c22cb14b411a31435eb2c530dfbbec948ac63015b517087c7978adb61b574865"},
-    {file = "APScheduler-3.8.1.tar.gz", hash = "sha256:5cf344ebcfbdaa48ae178c029c055cec7bc7a4a47c21e315e4d1f08bd35f2355"},
-]
-atomicwrites = [
-    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
-]
-attrs = [
-    {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
-    {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
-]
-"backports.zoneinfo" = [
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+apscheduler = []
+atomicwrites = []
+attrs = []
+"backports.zoneinfo" = []
+black = []
+blis = []
+bracex = []
+cachetools = []
+catalogue = []
+certifi = []
+cfgv = []
+charset-normalizer = []
+click = []
+colorama = []
+confection = []
+coverage = []
+cycler = []
+cymem = []
+dacite = []
+distlib = []
+domdf-python-tools = []
+elasticsearch = []
+factory-boy = []
+factory-boy-peewee = []
+faker = []
+falcon = []
+falcon-cors = []
+falcon-multipart = []
+filelock = []
+flake8 = []
+flake8-bugbear = []
+flake8-github-actions = []
+flashtext = []
+ghp-import = []
+grpcio = []
+gunicorn = []
+identify = []
+idna = []
+importlib-metadata = []
+importlib-resources = []
+influxdb = []
+iniconfig = []
+isort = []
+jinja2 = []
+jsonschema = []
+kiwisolver = []
+langcodes = []
+langid = []
+markdown = []
+markupsafe = []
+matplotlib = []
+mccabe = []
+mdx-truly-sane-lists = []
+mergedeep = []
+mkdocs = []
+mkdocs-awesome-pages-plugin = []
+mkdocs-material = []
+mkdocs-material-extensions = []
+more-itertools = []
+msgpack = []
+murmurhash = []
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+nodeenv = []
+numpy = []
+orjson = []
+packaging = []
+pathspec = []
+pathy = []
+peewee = []
+pillow = []
+pint = []
+platformdirs = []
+pluggy = []
+pre-commit = []
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+protobuf = []
+psycopg2-binary = []
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+pydantic = []
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+pymdown-extensions = []
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+pytest-httpserver = []
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+python-dateutil = []
+python-rapidjson = []
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+pytz-deprecation-shim = []
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+pyyaml-env-tag = []
+requests = []
+sentry-sdk = []
+shellingham = []
+six = []
+smart-open = []
+spacy = []
+spacy-legacy = []
+spacy-loggers = []
+spacy-lookups-data = []
+srsly = []
+thinc = []
+toml = []
+toml-sort = []
+tomli = []
+tomlkit = []
+tqdm = []
+tritonclient = []
+typed-ast = []
+typer = []
+typer-cli = []
+types-cachetools = []
+types-certifi = []
+types-protobuf = []
+types-requests = []
+types-setuptools = []
+types-six = []
+types-toml = []
+typing-extensions = []
+tzdata = []
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+virtualenv = []
+wasabi = []
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diff --git a/pyproject.toml b/pyproject.toml
index 03cf1eeabd..1869aac71a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -72,6 +72,7 @@ typer = "~0.3.2"
 py-healthcheck = "^1.10.1"
 spacy-lookups-data = "^1.0.3"
 cachetools = "^5.2.0"
+tritonclient = {extras = ["grpc"], version = "^2.26.0"}
 
 [tool.poetry.dependencies.sentry-sdk]
 version = "~0.19.5"
diff --git a/robotoff/models.py b/robotoff/models.py
index 5e5781b304..dcfcee869c 100644
--- a/robotoff/models.py
+++ b/robotoff/models.py
@@ -217,11 +217,11 @@ class ImagePrediction(BaseModel):
     """Table to store computer vision predictions (object detection,
     image segmentation,...) made by custom models.
 
-    They are created by api `ImagePredictorResource`, `ImagePredictionImporterResource`
+    They are created by API `ImagePredictorResource`, `ImagePredictionImporterResource`
     or cli `import_logos`
 
-    Predictions come from a model, from settings `OBJECT_DETECTION_TF_SERVING_MODELS`
-    this can be a nutriscore, a logo, etc...
+    Predictions come from a model, see `OBJECT_DETECTION_MODEL_VERSION` in
+    settings.py for available models.
     """
 
     type = peewee.CharField(max_length=256)
diff --git a/robotoff/prediction/object_detection/core.py b/robotoff/prediction/object_detection/core.py
index 46b48f05a6..f84af88d8b 100644
--- a/robotoff/prediction/object_detection/core.py
+++ b/robotoff/prediction/object_detection/core.py
@@ -2,20 +2,20 @@
 import pathlib
 from typing import Dict, List, Optional, Tuple
 
+import cachetools
+import grpc
 import numpy as np
-import PIL
 from PIL import Image
+from tritonclient.grpc import service_pb2, service_pb2_grpc
 
 from robotoff import settings
-from robotoff.prediction.object_detection.utils import label_map_util
 from robotoff.prediction.object_detection.utils import visualization_utils as vis_util
-from robotoff.prediction.object_detection.utils.label_map_util import CategoryIndex
-from robotoff.utils import get_logger, http_session
+from robotoff.utils import get_logger, text_file_iter
 from robotoff.utils.types import JSONType
 
 logger = get_logger(__name__)
 
-LABEL_MAP_NAME = "labels.pbtxt"
+LABEL_NAMES_FILENAME = "labels.txt"
 
 
 @dataclasses.dataclass
@@ -31,9 +31,9 @@ class ObjectDetectionRawResult:
     detection_boxes: np.ndarray
     detection_scores: np.ndarray
     detection_classes: np.ndarray
-    category_index: CategoryIndex
+    label_names: List[str]
     detection_masks: Optional[np.ndarray] = None
-    boxed_image: Optional[PIL.Image.Image] = None
+    boxed_image: Optional[Image.Image] = None
 
     def select(self, threshold: Optional[float] = None) -> List[ObjectDetectionResult]:
         if threshold is None:
@@ -49,7 +49,7 @@ def select(self, threshold: Optional[float] = None) -> List[ObjectDetectionResul
             selected_boxes, selected_scores, selected_classes
         ):
             label_int = int(label)
-            label_str = self.category_index.get(label_int, {}).get("name")
+            label_str = self.label_names[label_int]
             if label_str is not None:
                 result = ObjectDetectionResult(
                     bounding_box=tuple(bounding_box.tolist()),
@@ -64,7 +64,7 @@ def to_json(self, threshold: Optional[float] = None) -> List[JSONType]:
         return [dataclasses.asdict(r) for r in self.select(threshold)]
 
 
-def convert_image_to_array(image: PIL.Image.Image) -> np.ndarray:
+def convert_image_to_array(image: Image.Image) -> np.ndarray:
     if image.mode != "RGB":
         image = image.convert("RGB")
 
@@ -79,7 +79,7 @@ def add_boxes_and_labels(image_array: np.ndarray, raw_result: ObjectDetectionRaw
         raw_result.detection_boxes,
         raw_result.detection_classes,
         raw_result.detection_scores,
-        raw_result.category_index,
+        raw_result.label_names,
         instance_masks=raw_result.detection_masks,
         use_normalized_coordinates=True,
         line_thickness=5,
@@ -100,37 +100,78 @@ def resize_image(image: Image.Image, max_size: Tuple[int, int]) -> Image.Image:
     return image
 
 
+@cachetools.cached(cachetools.Cache(maxsize=1))
+def get_triton_inference_stub():
+    channel = grpc.insecure_channel(settings.TRITON_URI)
+    return service_pb2_grpc.GRPCInferenceServiceStub(channel)
+
+
 class RemoteModel:
-    def __init__(self, name: str, label_path: pathlib.Path):
+    def __init__(self, name: str, label_names: List[str]):
         self.name: str = name
-        label_map = label_map_util.load_labelmap(str(label_path))
-        self.categories = label_map_util.convert_label_map_to_categories(
-            label_map, max_num_classes=1000
-        )
-        self.category_index: CategoryIndex = label_map_util.create_category_index(
-            self.categories
-        )
+        self.label_names = label_names
 
     def detect_from_image(
-        self, image: np.ndarray, output_image: bool = False
+        self, image: Image.Image, output_image: bool = False
     ) -> ObjectDetectionRawResult:
         resized_image = resize_image(image, settings.OBJECT_DETECTION_IMAGE_MAX_SIZE)
         image_array = convert_image_to_array(resized_image)
-        data = {
-            "signature_name": "serving_default",
-            "instances": np.expand_dims(image_array, 0).tolist(),
-        }
-
-        r = http_session.post(
-            "{}/{}:predict".format(settings.TF_SERVING_BASE_URL, self.name), json=data
+        grpc_stub = get_triton_inference_stub()
+        request = service_pb2.ModelInferRequest()
+        request.model_name = self.name
+
+        image_input = service_pb2.ModelInferRequest().InferInputTensor()
+        image_input.name = "inputs"
+        image_input.datatype = "UINT8"
+        image_input.shape.extend([1, image_array.shape[0], image_array.shape[1], 3])
+        request.inputs.extend([image_input])
+
+        for output_name in (
+            "num_detections",
+            "detection_classes",
+            "detection_scores",
+            "detection_boxes",
+        ):
+            output = service_pb2.ModelInferRequest().InferRequestedOutputTensor()
+            output.name = output_name
+            request.outputs.extend([output])
+
+        request.raw_input_contents.extend([image_array.tobytes()])
+        response = grpc_stub.ModelInfer(request)
+
+        if len(response.outputs) != 4:
+            raise Exception(f"expected 4 output, got {len(response.outputs)}")
+
+        if len(response.raw_output_contents) != 4:
+            raise Exception(
+                f"expected 4 raw output content, got {len(response.raw_output_contents)}"
+            )
+
+        output_index = {output.name: i for i, output in enumerate(response.outputs)}
+        num_detections = (
+            np.frombuffer(
+                response.raw_output_contents[output_index["num_detections"]],
+                dtype=np.float32,
+            )
+            .reshape((1, 1))
+            .astype(np.int)[0][0]
         )
-        r.raise_for_status()
-        response = r.json()
-        prediction = response["predictions"][0]
-        num_detections = int(prediction["num_detections"])
-        detection_classes = np.array(prediction["detection_classes"], dtype=np.uint8)
-        detection_scores = np.array(prediction["detection_scores"])
-        detection_boxes = np.array(prediction["detection_boxes"])
+        detection_scores = np.frombuffer(
+            response.raw_output_contents[output_index["detection_scores"]],
+            dtype=np.float32,
+        ).reshape((1, -1))[0]
+        detection_classes = (
+            np.frombuffer(
+                response.raw_output_contents[output_index["detection_classes"]],
+                dtype=np.float32,
+            )
+            .reshape((1, -1))
+            .astype(np.int)
+        )[0]
+        detection_boxes = np.frombuffer(
+            response.raw_output_contents[output_index["detection_boxes"]],
+            dtype=np.float32,
+        ).reshape((1, -1, 4))[0]
 
         result = ObjectDetectionRawResult(
             num_detections=num_detections,
@@ -138,7 +179,7 @@ def detect_from_image(
             detection_boxes=detection_boxes,
             detection_scores=detection_scores,
             detection_masks=None,
-            category_index=self.category_index,
+            label_names=self.label_names,
         )
 
         if output_image:
@@ -149,31 +190,34 @@ def detect_from_image(
 
 class ObjectDetectionModelRegistry:
     models: Dict[str, RemoteModel] = {}
+    _loaded = False
 
     @classmethod
     def get_available_models(cls) -> List[str]:
+        cls.load_all()
         return list(cls.models.keys())
 
     @classmethod
     def load_all(cls):
-        for model_name in settings.OBJECT_DETECTION_TF_SERVING_MODELS:
-            file_path = settings.TF_SERVING_MODELS_PATH / model_name
+        if cls._loaded:
+            return
+        for model_name in settings.OBJECT_DETECTION_MODEL_VERSION:
+            file_path = settings.MODELS_DIR / model_name
             if file_path.is_dir():
-                logger.info("TF model '{}' found".format(model_name))
+                logger.info(f"Model '{model_name}' found")
                 cls.models[model_name] = cls.load(model_name, file_path)
             else:
-                logger.info("Missing TF model: '{}'".format(model_name))
+                logger.info(f"Missing model: '{model_name}'")
+        cls._loaded = True
 
     @classmethod
     def load(cls, name: str, model_dir: pathlib.Path) -> RemoteModel:
-        label_path = model_dir / LABEL_MAP_NAME
-        model = RemoteModel(name, label_path)
+        label_names = ["NULL"] + list(text_file_iter(model_dir / LABEL_NAMES_FILENAME))
+        model = RemoteModel(name, label_names)
         cls.models[name] = model
         return model
 
     @classmethod
     def get(cls, name: str) -> RemoteModel:
+        cls.load_all()
         return cls.models[name]
-
-
-ObjectDetectionModelRegistry.load_all()
diff --git a/robotoff/prediction/object_detection/utils/label_map_util.py b/robotoff/prediction/object_detection/utils/label_map_util.py
deleted file mode 100644
index bf0c136528..0000000000
--- a/robotoff/prediction/object_detection/utils/label_map_util.py
+++ /dev/null
@@ -1,192 +0,0 @@
-# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-
-"""Label map utility functions."""
-
-import logging
-from typing import Dict, List
-
-from google.protobuf import text_format  # type: ignore
-
-from . import string_int_label_map_pb2
-
-
-def _validate_label_map(label_map):
-    """Checks if a label map is valid.
-
-    Args:
-      label_map: StringIntLabelMap to validate.
-
-    Raises:
-      ValueError: if label map is invalid.
-    """
-    for item in label_map.item:
-        if item.id < 0:
-            raise ValueError("Label map ids should be >= 0.")
-        if (
-            item.id == 0
-            and item.name != "background"
-            and item.display_name != "background"
-        ):
-            raise ValueError("Label map id 0 is reserved for the background label")
-
-
-CategoryIndex = Dict[int, Dict]
-
-
-def create_category_index(categories: List[Dict]) -> CategoryIndex:
-    """Creates dictionary of COCO compatible categories keyed by category id.
-
-    Args:
-      categories: a list of dicts, each of which has the following keys:
-        'id': (required) an integer id uniquely identifying this category.
-        'name': (required) string representing category name
-          e.g., 'cat', 'dog', 'pizza'.
-
-    Returns:
-      category_index: a dict containing the same entries as categories, but keyed
-        by the 'id' field of each category.
-    """
-    category_index = {}
-    for cat in categories:
-        category_index[cat["id"]] = cat
-    return category_index
-
-
-def get_max_label_map_index(label_map):
-    """Get maximum index in label map.
-
-    Args:
-      label_map: a StringIntLabelMapProto
-
-    Returns:
-      an integer
-    """
-    return max([item.id for item in label_map.item])
-
-
-def convert_label_map_to_categories(
-    label_map, max_num_classes, use_display_name=True
-) -> List[Dict]:
-    """Loads label map proto and returns categories list compatible with eval.
-
-    This function loads a label map and returns a list of dicts, each of which
-    has the following keys:
-      'id': (required) an integer id uniquely identifying this category.
-      'name': (required) string representing category name
-        e.g., 'cat', 'dog', 'pizza'.
-    We only allow class into the list if its id-label_id_offset is
-    between 0 (inclusive) and max_num_classes (exclusive).
-    If there are several items mapping to the same id in the label map,
-    we will only keep the first one in the categories list.
-
-    Args:
-      label_map: a StringIntLabelMapProto or None.  If None, a default categories
-        list is created with max_num_classes categories.
-      max_num_classes: maximum number of (consecutive) label indices to include.
-      use_display_name: (boolean) choose whether to load 'display_name' field
-        as category name.  If False or if the display_name field does not exist,
-        uses 'name' field as category names instead.
-    Returns:
-      categories: a list of dictionaries representing all possible categories.
-    """
-    categories = []
-    list_of_ids_already_added: List = []
-    if not label_map:
-        label_id_offset = 1
-        for class_id in range(max_num_classes):
-            categories.append(
-                {
-                    "id": class_id + label_id_offset,
-                    "name": "category_{}".format(class_id + label_id_offset),
-                }
-            )
-        return categories
-    for item in label_map.item:
-        if not 0 < item.id <= max_num_classes:
-            logging.info(
-                "Ignore item %d since it falls outside of requested " "label range.",
-                item.id,
-            )
-            continue
-        if use_display_name and item.HasField("display_name"):
-            name = item.display_name
-        else:
-            name = item.name
-        if item.id not in list_of_ids_already_added:
-            list_of_ids_already_added.append(item.id)
-            categories.append({"id": item.id, "name": name})
-    return categories
-
-
-def load_labelmap(path: str):
-    """Loads label map proto.
-
-    Args:
-      path: path to StringIntLabelMap proto text file.
-    Returns:
-      a StringIntLabelMapProto
-    """
-    with open(path, "r") as fid:
-        label_map_string = fid.read()
-        label_map = string_int_label_map_pb2.StringIntLabelMap()  # type: ignore
-        try:
-            text_format.Merge(label_map_string, label_map)
-        except text_format.ParseError:
-            label_map.ParseFromString(label_map_string)
-    _validate_label_map(label_map)
-    return label_map
-
-
-def get_label_map_dict(label_map_path, use_display_name=False):
-    """Reads a label map and returns a dictionary of label names to id.
-
-    Args:
-      label_map_path: path to label_map.
-      use_display_name: whether to use the label map items' display names as keys.
-
-    Returns:
-      A dictionary mapping label names to id.
-    """
-    label_map = load_labelmap(label_map_path)
-    label_map_dict = {}
-    for item in label_map.item:
-        if use_display_name:
-            label_map_dict[item.display_name] = item.id
-        else:
-            label_map_dict[item.name] = item.id
-    return label_map_dict
-
-
-def create_category_index_from_labelmap(label_map_path):
-    """Reads a label map and returns a category index.
-
-    Args:
-      label_map_path: Path to `StringIntLabelMap` proto text file.
-
-    Returns:
-      A category index, which is a dictionary that maps integer ids to dicts
-      containing categories, e.g.
-      {1: {'id': 1, 'name': 'dog'}, 2: {'id': 2, 'name': 'cat'}, ...}
-    """
-    label_map = load_labelmap(label_map_path)
-    max_num_classes = max(item.id for item in label_map.item)
-    categories = convert_label_map_to_categories(label_map, max_num_classes)
-    return create_category_index(categories)
-
-
-def create_class_agnostic_category_index():
-    """Creates a category index with a single `object` class."""
-    return {1: {"id": 1, "name": "object"}}
diff --git a/robotoff/prediction/object_detection/utils/string_int_label_map.proto b/robotoff/prediction/object_detection/utils/string_int_label_map.proto
deleted file mode 100644
index 0894183bba..0000000000
--- a/robotoff/prediction/object_detection/utils/string_int_label_map.proto
+++ /dev/null
@@ -1,24 +0,0 @@
-// Message to store the mapping from class label strings to class id. Datasets
-// use string labels to represent classes while the object detection framework
-// works with class ids. This message maps them so they can be converted back
-// and forth as needed.
-syntax = "proto2";
-
-package object_detection.protos;
-
-message StringIntLabelMapItem {
-  // String name. The most common practice is to set this to a MID or synsets
-  // id.
-  optional string name = 1;
-
-  // Integer id that maps to the string name above. Label ids should start from
-  // 1.
-  optional int32 id = 2;
-
-  // Human readable string label.
-  optional string display_name = 3;
-};
-
-message StringIntLabelMap {
-  repeated StringIntLabelMapItem item = 1;
-};
diff --git a/robotoff/prediction/object_detection/utils/string_int_label_map_pb2.py b/robotoff/prediction/object_detection/utils/string_int_label_map_pb2.py
deleted file mode 100644
index 3f1d729da5..0000000000
--- a/robotoff/prediction/object_detection/utils/string_int_label_map_pb2.py
+++ /dev/null
@@ -1,166 +0,0 @@
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: robotoff/ml/object_detection/utils/string_int_label_map.proto
-# type: ignore
-
-import sys
-
-_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import descriptor_pb2
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-    name="robotoff/ml/object_detection/utils/string_int_label_map.proto",
-    package="object_detection.protos",
-    syntax="proto2",
-    serialized_pb=_b(
-        '\n=robotoff/ml/object_detection/utils/string_int_label_map.proto\x12\x17object_detection.protos"G\n\x15StringIntLabelMapItem\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\n\n\x02id\x18\x02 \x01(\x05\x12\x14\n\x0c\x64isplay_name\x18\x03 \x01(\t"Q\n\x11StringIntLabelMap\x12<\n\x04item\x18\x01 \x03(\x0b\x32..object_detection.protos.StringIntLabelMapItem'
-    ),
-)
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-
-_STRINGINTLABELMAPITEM = _descriptor.Descriptor(
-    name="StringIntLabelMapItem",
-    full_name="object_detection.protos.StringIntLabelMapItem",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="name",
-            full_name="object_detection.protos.StringIntLabelMapItem.name",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=_b("").decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            options=None,
-        ),
-        _descriptor.FieldDescriptor(
-            name="id",
-            full_name="object_detection.protos.StringIntLabelMapItem.id",
-            index=1,
-            number=2,
-            type=5,
-            cpp_type=1,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            options=None,
-        ),
-        _descriptor.FieldDescriptor(
-            name="display_name",
-            full_name="object_detection.protos.StringIntLabelMapItem.display_name",
-            index=2,
-            number=3,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=_b("").decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            options=None,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    options=None,
-    is_extendable=False,
-    syntax="proto2",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=90,
-    serialized_end=161,
-)
-
-
-_STRINGINTLABELMAP = _descriptor.Descriptor(
-    name="StringIntLabelMap",
-    full_name="object_detection.protos.StringIntLabelMap",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="item",
-            full_name="object_detection.protos.StringIntLabelMap.item",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            options=None,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    options=None,
-    is_extendable=False,
-    syntax="proto2",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=163,
-    serialized_end=244,
-)
-
-_STRINGINTLABELMAP.fields_by_name["item"].message_type = _STRINGINTLABELMAPITEM
-DESCRIPTOR.message_types_by_name["StringIntLabelMapItem"] = _STRINGINTLABELMAPITEM
-DESCRIPTOR.message_types_by_name["StringIntLabelMap"] = _STRINGINTLABELMAP
-
-StringIntLabelMapItem = _reflection.GeneratedProtocolMessageType(
-    "StringIntLabelMapItem",
-    (_message.Message,),
-    dict(
-        DESCRIPTOR=_STRINGINTLABELMAPITEM,
-        __module__="robotoff.ml.object_detection.utils.string_int_label_map_pb2"
-        # @@protoc_insertion_point(class_scope:object_detection.protos.StringIntLabelMapItem)
-    ),
-)
-_sym_db.RegisterMessage(StringIntLabelMapItem)
-
-StringIntLabelMap = _reflection.GeneratedProtocolMessageType(
-    "StringIntLabelMap",
-    (_message.Message,),
-    dict(
-        DESCRIPTOR=_STRINGINTLABELMAP,
-        __module__="robotoff.ml.object_detection.utils.string_int_label_map_pb2"
-        # @@protoc_insertion_point(class_scope:object_detection.protos.StringIntLabelMap)
-    ),
-)
-_sym_db.RegisterMessage(StringIntLabelMap)
-
-
-# @@protoc_insertion_point(module_scope)
diff --git a/robotoff/prediction/object_detection/utils/visualization_utils.py b/robotoff/prediction/object_detection/utils/visualization_utils.py
index d7fd55619b..e93672e3ee 100644
--- a/robotoff/prediction/object_detection/utils/visualization_utils.py
+++ b/robotoff/prediction/object_detection/utils/visualization_utils.py
@@ -539,7 +539,7 @@ def visualize_boxes_and_labels_on_image_array(
     boxes,
     classes,
     scores,
-    category_index,
+    label_names,
     instance_masks=None,
     instance_boundaries=None,
     keypoints=None,
@@ -567,8 +567,7 @@ def visualize_boxes_and_labels_on_image_array(
       scores: a numpy array of shape [N] or None.  If scores=None, then
         this function assumes that the boxes to be plotted are groundtruth
         boxes and plot all boxes as black with no classes or scores.
-      category_index: a dict containing category dictionaries (each holding
-        category index `id` and category name `name`) keyed by category indices.
+      label_names: a list containing label names.
       instance_masks: a numpy array of shape [N, image_height, image_width] with
         values ranging between 0 and 1, can be None.
       instance_boundaries: a numpy array of shape [N, image_height, image_width]
@@ -616,8 +615,8 @@ def visualize_boxes_and_labels_on_image_array(
                 display_str = ""
                 if not skip_labels:
                     if not agnostic_mode:
-                        if classes[i] in category_index.keys():
-                            class_name = category_index[classes[i]]["name"]
+                        if len(label_names) > classes[i]:
+                            class_name = label_names[classes[i]]
                         else:
                             class_name = "N/A"
                         display_str = str(class_name)
diff --git a/robotoff/settings.py b/robotoff/settings.py
index 2c4df0d0b8..4b37f49ce8 100644
--- a/robotoff/settings.py
+++ b/robotoff/settings.py
@@ -258,15 +258,14 @@ def init_sentry(integrations: Optional[List[Integration]] = None):
 _tf_serving_http_port = os.environ.get("TF_SERVING_PORT", "8501")
 TF_SERVING_BASE_URL = f"http://{_tf_serving_host}:{_tf_serving_http_port}/v1/models"
 
-TF_SERVING_MODELS_PATH = PROJECT_DIR / "tf_models"
-OBJECT_DETECTION_IMAGE_MAX_SIZE = (1024, 1024)
 
+_triton_host = os.environ.get("TRITON_HOST", "localhost")
+_triton_grpc_port = os.environ.get("TRITON_PORT", "8001")
+TRITON_URI = f"{_triton_host}:{_triton_grpc_port}"
+
+MODELS_DIR = PROJECT_DIR / "models"
+OBJECT_DETECTION_IMAGE_MAX_SIZE = (1024, 1024)
 
-OBJECT_DETECTION_TF_SERVING_MODELS = (
-    "nutriscore",
-    "nutrition-table",
-    "universal-logo-detector",
-)
 
 OBJECT_DETECTION_MODEL_VERSION = {
     "nutriscore": "tf-nutriscore-1.0",
diff --git a/scripts/object_detection/run_local.py b/scripts/object_detection/run_local.py
deleted file mode 100644
index 67611613a4..0000000000
--- a/scripts/object_detection/run_local.py
+++ /dev/null
@@ -1,140 +0,0 @@
-import pathlib
-
-import numpy as np
-import PIL
-import tensorflow as tf
-import utils_ops
-from PIL import Image
-
-from robotoff.prediction.object_detection.core import (
-    ObjectDetectionRawResult,
-    add_boxes_and_labels,
-    convert_image_to_array,
-)
-from robotoff.prediction.object_detection.utils import label_map_util
-from robotoff.prediction.object_detection.utils.label_map_util import CategoryIndex
-from robotoff.utils import get_logger
-
-logger = get_logger(__name__)
-
-
-class ObjectDetectionModel:
-    def __init__(self, graph: tf.Graph, label_map):
-        self.graph: tf.Graph = graph
-        self.label_map = label_map
-
-        self.categories = label_map_util.convert_label_map_to_categories(
-            label_map, max_num_classes=1000
-        )
-        self.category_index: CategoryIndex = label_map_util.create_category_index(
-            self.categories
-        )
-
-    @classmethod
-    def load(cls, graph_path: pathlib.Path, label_path: pathlib.Path):
-        detection_graph = tf.Graph()
-        with detection_graph.as_default():
-            od_graph_def = tf.GraphDef()
-            with tf.gfile.GFile(str(graph_path), "rb") as f:
-                serialized_graph = f.read()
-                od_graph_def.ParseFromString(serialized_graph)
-                tf.import_graph_def(od_graph_def, name="")
-
-        label_map = label_map_util.load_labelmap(str(label_path))
-
-        logger.info("Model loaded")
-        return cls(graph=detection_graph, label_map=label_map)
-
-    def _run_inference_for_single_image(
-        self, image: np.ndarray
-    ) -> ObjectDetectionRawResult:
-        with tf.Session(graph=self.graph) as sess:
-            # Get handles to input and output tensors
-            ops = self.graph.get_operations()
-            all_tensor_names = {output.name for op in ops for output in op.outputs}
-            tensor_dict = {}
-            for key in [
-                "num_detections",
-                "detection_boxes",
-                "detection_scores",
-                "detection_classes",
-                "detection_masks",
-            ]:
-                tensor_name = key + ":0"
-                if tensor_name in all_tensor_names:
-                    tensor_dict[key] = self.graph.get_tensor_by_name(tensor_name)
-            if "detection_masks" in tensor_dict:
-                # The following processing is only for single image
-                detection_boxes = tf.squeeze(tensor_dict["detection_boxes"], [0])
-                detection_masks = tf.squeeze(tensor_dict["detection_masks"], [0])
-                # Reframe is required to translate mask from box coordinates
-                # to image coordinates and fit the image size.
-                real_num_detection = tf.cast(tensor_dict["num_detections"][0], tf.int32)
-                detection_boxes = tf.slice(
-                    detection_boxes, [0, 0], [real_num_detection, -1]
-                )
-                detection_masks = tf.slice(
-                    detection_masks, [0, 0, 0], [real_num_detection, -1, -1]
-                )
-                detection_masks_reframed = utils_ops.reframe_box_masks_to_image_masks(
-                    detection_masks, detection_boxes, image.shape[0], image.shape[1]
-                )
-                detection_masks_reframed = tf.cast(
-                    tf.greater(detection_masks_reframed, 0.5), tf.uint8
-                )
-                # Follow the convention by adding back the batch dimension
-                tensor_dict["detection_masks"] = tf.expand_dims(
-                    detection_masks_reframed, 0
-                )
-            image_tensor = self.graph.get_tensor_by_name("image_tensor:0")
-
-            # Run inference
-            output_dict = sess.run(
-                tensor_dict, feed_dict={image_tensor: np.expand_dims(image, 0)}
-            )
-
-            # all outputs are float32 numpy arrays, so convert types as
-            # appropriate
-            output_dict["num_detections"] = int(output_dict["num_detections"][0])
-            output_dict["detection_classes"] = output_dict["detection_classes"][
-                0
-            ].astype(np.uint8)
-            output_dict["detection_boxes"] = output_dict["detection_boxes"][0]
-            output_dict["detection_scores"] = output_dict["detection_scores"][0]
-            if "detection_masks" in output_dict:
-                output_dict["detection_masks"] = output_dict["detection_masks"][0]
-
-        return ObjectDetectionRawResult(
-            num_detections=output_dict["num_detections"],
-            detection_classes=output_dict["detection_classes"],
-            detection_boxes=output_dict["detection_boxes"],
-            detection_scores=output_dict["detection_scores"],
-            detection_masks=output_dict.get("detection_masks"),
-            category_index=self.category_index,
-        )
-
-    def detect_from_image(
-        self, image: PIL.Image.Image, output_image: bool = False
-    ) -> ObjectDetectionRawResult:
-        image_array = convert_image_to_array(image)
-        result = self._run_inference_for_single_image(image_array)
-
-        if output_image:
-            add_boxes_and_labels(image_array, result)
-
-        return result
-
-
-def run_model(image_dir: pathlib.Path, model: ObjectDetectionModel):
-    for filepath in image_dir.glob("*.jpg"):
-        boxed_filename = filepath.parent / "{}_box.jpg".format(filepath.stem)
-
-        if filepath.stem.endswith("box") or boxed_filename.exists():
-            continue
-
-        image: PIL.Image.Image = Image.open(str(filepath))
-        result = model.detect_from_image(image, output_image=True)
-
-        with open(str(boxed_filename), "wb") as f:
-            if result.boxed_image:
-                result.boxed_image.save(f)
diff --git a/tests/unit/insights/test_extraction.py b/tests/unit/insights/test_extraction.py
index 113aa39ed2..94a3bee9e9 100644
--- a/tests/unit/insights/test_extraction.py
+++ b/tests/unit/insights/test_extraction.py
@@ -15,7 +15,7 @@ def __init__(self, raw_result: ObjectDetectionRawResult):
         self.raw_result = raw_result
 
     def detect_from_image(
-        self, image: np.ndarray, output_image: bool = False
+        self, image: Image.Image, output_image: bool = False
     ) -> ObjectDetectionRawResult:
         return self.raw_result
 
@@ -35,7 +35,7 @@ def test_extract_nutriscore_label_automatic(
         detection_boxes=np.array([[1, 2, 3, 4]]),
         detection_scores=np.array([0.8]),
         detection_classes=np.array([1]),
-        category_index={1: {"id": 1, "name": "nutriscore-a"}},
+        label_names=["NULL", "nutriscore-a"],
     )
     mocker.patch(
         "robotoff.prediction.object_detection.core.ObjectDetectionModelRegistry.get",