abstract object detection ms to ms dir

Signed-off-by: greg pereira <[email protected]>

.github/workflows/model_servers.yaml

@@ -28,6 +28,8 @@ jobs:
             model: mistral
           - image_name: whispercpp
             model: whisper-small
+          - image_name: object_detection_python
+            model: facebook/detr-resnet-101
     runs-on: ubuntu-latest
     permissions:
       contents: read

.github/workflows/object_detection.yaml

@@ -0,0 +1,87 @@
+name: object_detection
+
+on:
+  pull_request:
+    branches:
+      - main
+    # paths:
+    #   - ./recipes/computer_vision/object_detection/**
+    #   - .github/workflows/object_detection.yaml
+  push:
+    branches:
+      - main
+    # paths:
+    #   - ./recipes/computer_vision/object_detection/**
+    #   - .github/workflows/object_detection.yaml
+
+  workflow_dispatch:
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: object_detection
+  COMPONENT: app
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+    services:
+      registry:
+        image: registry:2.8.3
+        ports:
+          - 5000:5000
+    steps:
+      - uses: actions/[email protected]
+
+      - name: Install qemu dependency
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y qemu-user-static
+
+      - name: Build Image
+        id: build_image
+        uses: redhat-actions/[email protected]
+        with:
+          image: ${{ env.REGISTRY }}/${{ github.event.repository.name }}/${{ env.COMPONENT }}/${{ env.IMAGE_NAME }}
+          tags: latest
+          platforms: linux/amd64, linux/arm64
+          containerfiles: ./recipes/computer_vision/${{ env.IMAGE_NAME }}/app/Containerfile
+          context: recipes/computer_vision/${{ env.IMAGE_NAME }}/app
+
+      - name: Set up Python
+        uses: actions/[email protected]
+        with:
+          python-version: '3.11'
+
+      - name: Install Dependencies
+        working-directory: ./recipes/computer_vision/${{ env.IMAGE_NAME }}
+        run: make install
+
+      - name: Download model
+        working-directory: ./model_servers/object_detection_python
+        run: make mistralfacebook/detr-resnet-101
+
+      # COMING SOON
+      # - name: Run Functional Tests
+      #   shell: bash
+      #   run: make functional-tests
+      #   working-directory: ./recipes/computer_vision/${{ env.IMAGE_NAME }}
+
+      - name: Login to Registry
+        if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+        uses: redhat-actions/[email protected]
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Push Image
+        id: push_image
+        if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+        uses: redhat-actions/[email protected]
+        with:
+          image: ${{ steps.build_image.outputs.image }}
+          tags: ${{ steps.build_image.outputs.tags }}
+          registry: ${{ env.REGISTRY }}

.gitignore

@@ -9,3 +9,6 @@ model_servers/llamacpp_python/model.gguf
 !models/Containerfile
 !models/README.md
 recipes/chromedriver
+recipes/chrome
+convert_models/converted_models
+model_servers/object_detection_python/facebook

convert_models/download_huggingface.py

@@ -3,9 +3,15 @@
 
 parser = argparse.ArgumentParser()
 parser.add_argument("-m", "--model")
+parser.add_argument("-o", "--output")
 args = parser.parse_args()
 
+if not args.output:
+    download_path = f"converted_models/{args.model}"
+else:
+    download_path = f"{args.output}"
+
 snapshot_download(repo_id=args.model,
-                local_dir=f"converted_models/{args.model}",
+                local_dir=download_path,
                 local_dir_use_symlinks=True,
-                cache_dir=f"converted_models/cache")
+                cache_dir=f"converted_models/cache")

model_servers/object_detection_python/Makefile

@@ -0,0 +1,66 @@
+PORT ?= 8000
+APP ?= object_detection_python
+REGIISTRY ?= quay.io
+REGISTYR_ORG ?= ai-lab
+COMPONENT := model_servers
+
+IMAGE := $(REGIISTRY)/$(REGISTYR_ORG)/$(COMPONENT)/$(APP):latest
+CUDA_IMAGE := $(REGIISTRY)/$(REGISTYR_ORG)/$(COMPONENT)/$(APP)_cuda:latest
+VULKAN_IMAGE := $(REGIISTRY)/$(REGISTYR_ORG)/$(COMPONENT)/$(APP)_vulkan:latest
+
+MODEL_NAME ?= facebook/detr-resnet-101
+MODEL_PATH := /models/facebook/detr-resnet-101
+
+BIND_MOUNT_OPTIONS := ro
+OS := $(shell uname -s)
+SED_BUILD_COMMAND :=
+ifeq ($(OS),Linux)
+    BIND_MOUNT_OPTIONS := ro,Z
+endif
+
+.PHONY: all
+all: build download-model-python run 
+
+.PHONY: install
+install:
+	pip install -r src/requirements.txt
+
+.PHONY: download-model-python
+download-model-python:
+	pip install -r ../../convert_models/requirements.txt
+	python3 ../../convert_models/download_huggingface.py -m $(MODEL_NAME)
+	cp -r converted_models/* ../../models
+	rm -rf converted_models
+	rm -rf ../../models/cache
+
+.PHONY: build
+build:
+	sed -i '' 's/EXPOSE 8000/EXPOSE ${PORT}/g' base/Containerfile
+	podman build -t $(IMAGE) . -f base/Containerfile
+	sed -i '' 's/EXPOSE ${PORT}/EXPOSE 8000/g' base/Containerfile 
+
+.PHONY: run
+run: 
+	cd ../../models && \
+	podman run -it -d -p $(PORT):$(PORT) -v ./$(MODEL_NAME):$(MODEL_PATH):$(BIND_MOUNT_OPTIONS) \
+		-e MODEL_PATH=$(MODEL_PATH) -e HOST=0.0.0.0 -e PORT=$(PORT) --net=host $(IMAGE)
+
+.PHONY: test
+test:
+	$(MAKE) facebook/detr-resnet-101
+	PORT=$(PORT) MODEL_NAME=$(MODEL_NAME) MODEL_PATH=$(MODEL_PATH) PORT=$(PORT) IMAGE=$(IMAGE) PULL_ALWAYS=0 pytest -s -vvv
+	$(MAKE) -i clean
+
+.PHONY: clean
+clean: 
+	-rm -rf $(MODEL_NAME)
+	-rm -rf .pytest_cache
+	-rm -rf facebook
+
+
+.PHONY: facebook/detr-resnet-101
+facebook/detr-resnet-101: 
+	pip install -r ../../convert_models/requirements.txt
+	python3 ../../convert_models/download_huggingface.py -m facebook/detr-resnet-101
+	cp -r converted_models/facebook ./
+	rm -rf converted_models/

recipes/computer_vision/object_detection/model_server/Containerfile → model_servers/object_detection_python/base/Containerfile

@@ -1,8 +1,8 @@
 FROM registry.access.redhat.com/ubi9/python-311:1-52
 WORKDIR /locallm
-COPY requirements.txt /locallm/requirements.txt
+COPY ../src/requirements.txt /locallm/requirements.txt
 RUN pip install --upgrade pip && \
     pip install --no-cache-dir --upgrade -r requirements.txt
-COPY object_detection_server.py object_detection_server.py
+COPY ../src/object_detection_server.py object_detection_server.py
 EXPOSE 8000
 ENTRYPOINT [ "uvicorn", "object_detection_server:app", "--host", "0.0.0.0" ]

recipes/computer_vision/object_detection/model_server/object_detection_server.py → model_servers/object_detection_python/src/object_detection_server.py

@@ -9,7 +9,7 @@
 
 
 app = FastAPI()
-model = os.getenv("MODEL_PATH", default="facebook/detr-resnet-101")
+model = os.getenv("MODEL_PATH", default="/models/facebook/detr-resnet-101")
 revision = os.getenv("MODEL_REVISION", default="no_timm")
 
 processor = AutoImageProcessor.from_pretrained(model, revision=revision)

model_servers/object_detection_python/src/requirements.txt

@@ -0,0 +1,36 @@
+annotated-types==0.6.0
+anyio==4.3.0
+certifi==2024.2.2
+charset-normalizer==3.3.2
+click==8.1.7
+fastapi==0.110.1
+filelock==3.13.4
+fsspec==2024.3.1
+h11==0.14.0
+huggingface-hub==0.22.2
+idna==3.7
+Jinja2==3.1.3
+MarkupSafe==2.1.5
+mpmath==1.3.0
+networkx==3.3
+numpy==1.26.4
+packaging==24.0
+pillow==10.3.0
+pydantic==2.6.4
+pydantic_core==2.16.3
+PyYAML==6.0.1
+regex==2023.12.25
+requests==2.31.0
+safetensors==0.4.2
+sniffio==1.3.1
+starlette==0.37.2
+sympy==1.12
+timm==0.9.16
+tokenizers==0.15.2
+torch==2.2.2
+torchvision==0.17.2
+tqdm==4.66.2
+transformers==4.39.3
+typing_extensions==4.11.0
+urllib3==2.2.1
+uvicorn==0.29.0

model_servers/object_detection_python/tests/conftest.py

@@ -0,0 +1,55 @@
+import pytest_container
+import pytest
+import os
+import logging
+import platform
+
+if 'PORT' not in os.environ:
+    PORT = 8000
+else:
+    PORT = os.environ['PORT']
+    try:
+        PORT = int(PORT)
+    except:
+        PORT = 8000
+
+if 'IMAGE' not in os.environ:
+    IMAGE = 'ghcr.io/containers/model_servers/object_detection_python:latest'
+else:
+    IMAGE = os.environ['IMAGE']
+
+MODEL_NAME=os.environ['MODEL_NAME']
+MODEL_PATH=os.environ['MODEL_PATH']
+
+BIND_MOUNT_OPTIONS = 'ro'
+if platform.system() == 'Linux':
+    BIND_MOUNT_OPTIONS = 'ro,Z'
+
+MS = pytest_container.Container(
+        url=f"containers-storage:{IMAGE}",
+        volume_mounts=[
+            pytest_container.container.BindMount(
+                container_path=f"{MODEL_PATH}",
+                host_path=f"./{MODEL_NAME}",
+                flags=[BIND_MOUNT_OPTIONS]
+            )
+        ],
+        extra_environment_variables={
+            "MODEL_PATH": f"{MODEL_PATH}",
+            "HOST": "0.0.0.0",
+            "PORT": f"{PORT}"
+        },
+        forwarded_ports=[
+            pytest_container.PortForwarding(
+                container_port=PORT,
+                host_port=PORT
+            )
+        ],
+    )
+
+def pytest_addoption(parser):
+    pytest_container.add_logging_level_options(parser)
+
+
+def pytest_generate_tests(metafunc):
+    pytest_container.auto_container_parametrize(metafunc)

model_servers/object_detection_python/tests/requirements.txt

@@ -0,0 +1,8 @@
+pip==24.0
+pytest-container==0.4.0
+pytest-selenium==4.1.0
+pytest-testinfra==10.1.0
+pytest==8.1.1
+requests==2.31.0
+selenium==4.19.0
+tenacity==8.2.3

model_servers/object_detection_python/tests/test_alive.py

@@ -0,0 +1,13 @@
+import pytest_container
+from .conftest import MS
+import tenacity
+
+CONTAINER_IMAGES = [MS]
+
+
+def test_etc_os_release_present(auto_container: pytest_container.container.ContainerData):
+    assert auto_container.connection.file("/etc/os-release").exists
+
+@tenacity.retry(stop=tenacity.stop_after_attempt(5), wait=tenacity.wait_exponential())
+def test_alive(auto_container: pytest_container.container.ContainerData, host):
+    host.run_expect([0],f"curl http://localhost:{auto_container.forwarded_ports[0].host_port}",).stdout.strip()

recipes/computer_vision/object_detection/Makefile

@@ -0,0 +1,48 @@
+
+APP := object_detection_client
+COMPONENT := app
+
+PORT ?= 8501
+REGISTRY ?= quay.io
+REGISTRY_ORG ?= ai-lab
+
+IMAGE ?= $(REGISTRY)/$(REGISTRY_ORG)/$(COMPONENT)/$(APP):latest
+
+MODEL_NAME ?= facebook/detr-resnet-101
+MODEL_PATH := /models/facebook/detr-resnet-101
+
+.PHONY: install
+install:
+	pip install -r app/requirements.txt
+
+.PHONY: all
+all: build-and-run-server build run
+
+.PHONY: build
+build:
+	sed -i '' 's/EXPOSE 8501/EXPOSE ${PORT}/g' app/Containerfile
+	podman build -t $(IMAGE) app/
+	sed -i '' 's/EXPOSE ${PORT}/EXPOSE 8501/g' app/Containerfile
+
+# .PHONY: facebook/detr-resnet-101 # THIS WILL BE USED FOR FUNCTIONAL TESTS
+# facebook/detr-resnet-101: 
+# 	pip install -r ../../../convert_models/requirements.txt
+# 	python3.11 ../../../convert_models/download_huggingface.py -m facebook/detr-resnet-101
+# 	cp -r converted_models/facebook ./
+# 	rm -rf converted_models/
+
+.PHONY: clean
+clean: 
+	-rm -rf $(MODEL_NAME)
+	-rm -rf .pytest_cache
+	-rm -rf facebook
+
+.PHONY: run
+run:
+	podman run -p $(PORT):$(PORT) -e MODEL_ENDPOINT=http://10.88.0.1:8000/detection $(IMAGE)
+
+.PHONY: build-and-run-server
+build-and-run-server:
+	cd ../../../model_servers/object_detection_python/ && \
+	$(MAKE) all
+