feat(rfdetr): add object detection API (#5923)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
2025-07-27 22:02:51 +02:00
committed by GitHub
parent 73ecb7f90b
commit 949e5b9be8
34 changed files with 884 additions and 7 deletions

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@@ -8,4 +8,6 @@ else
source $backend_dir/../common/libbackend.sh
fi
ensureVenv
python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto

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@@ -0,0 +1,20 @@
.DEFAULT_GOAL := install
.PHONY: install
install:
bash install.sh
$(MAKE) protogen
.PHONY: protogen
protogen: backend_pb2_grpc.py backend_pb2.py
.PHONY: protogen-clean
protogen-clean:
$(RM) backend_pb2_grpc.py backend_pb2.py
backend_pb2_grpc.py backend_pb2.py:
bash protogen.sh
.PHONY: clean
clean: protogen-clean
rm -rf venv __pycache__

174
backend/python/rfdetr/backend.py Executable file
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@@ -0,0 +1,174 @@
#!/usr/bin/env python3
"""
gRPC server for RFDETR object detection models.
"""
from concurrent import futures
import argparse
import signal
import sys
import os
import time
import base64
import backend_pb2
import backend_pb2_grpc
import grpc
import requests
import supervision as sv
from inference import get_model
from PIL import Image
from io import BytesIO
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
A gRPC servicer for the RFDETR backend service.
This class implements the gRPC methods for object detection using RFDETR models.
"""
def __init__(self):
self.model = None
self.model_name = None
def Health(self, request, context):
"""
A gRPC method that returns the health status of the backend service.
Args:
request: A HealthMessage object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Reply object that contains the health status of the backend service.
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
A gRPC method that loads a RFDETR model into memory.
Args:
request: A ModelOptions object that contains the model parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Result object that contains the result of the LoadModel operation.
"""
model_name = request.Model
try:
# Load the RFDETR model
self.model = get_model(model_name)
self.model_name = model_name
print(f'Loaded RFDETR model: {model_name}')
except Exception as err:
return backend_pb2.Result(success=False, message=f"Failed to load model: {err}")
return backend_pb2.Result(message="Model loaded successfully", success=True)
def Detect(self, request, context):
"""
A gRPC method that performs object detection on an image.
Args:
request: A DetectOptions object that contains the image source.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A DetectResponse object that contains the detection results.
"""
if self.model is None:
print(f"Model is None")
return backend_pb2.DetectResponse()
print(f"Model is not None")
try:
print(f"Decoding image")
# Decode the base64 image
print(f"Image data: {request.src}")
image_data = base64.b64decode(request.src)
image = Image.open(BytesIO(image_data))
# Perform inference
predictions = self.model.infer(image, confidence=0.5)[0]
# Convert to proto format
proto_detections = []
for i in range(len(predictions.predictions)):
pred = predictions.predictions[i]
print(f"Prediction: {pred}")
proto_detection = backend_pb2.Detection(
x=float(pred.x),
y=float(pred.y),
width=float(pred.width),
height=float(pred.height),
confidence=float(pred.confidence),
class_name=pred.class_name
)
proto_detections.append(proto_detection)
return backend_pb2.DetectResponse(Detections=proto_detections)
except Exception as err:
print(f"Detection error: {err}")
return backend_pb2.DetectResponse()
def Status(self, request, context):
"""
A gRPC method that returns the status of the backend service.
Args:
request: A HealthMessage object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A StatusResponse object that contains the status information.
"""
state = backend_pb2.StatusResponse.READY if self.model is not None else backend_pb2.StatusResponse.UNINITIALIZED
return backend_pb2.StatusResponse(state=state)
def serve(address):
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS),
options=[
('grpc.max_message_length', 50 * 1024 * 1024), # 50MB
('grpc.max_send_message_length', 50 * 1024 * 1024), # 50MB
('grpc.max_receive_message_length', 50 * 1024 * 1024), # 50MB
])
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
server.add_insecure_port(address)
server.start()
print("[RFDETR] Server started. Listening on: " + address, file=sys.stderr)
# Define the signal handler function
def signal_handler(sig, frame):
print("[RFDETR] Received termination signal. Shutting down...")
server.stop(0)
sys.exit(0)
# Set the signal handlers for SIGINT and SIGTERM
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
try:
while True:
time.sleep(_ONE_DAY_IN_SECONDS)
except KeyboardInterrupt:
server.stop(0)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the RFDETR gRPC server.")
parser.add_argument(
"--addr", default="localhost:50051", help="The address to bind the server to."
)
args = parser.parse_args()
print(f"[RFDETR] startup: {args}", file=sys.stderr)
serve(args.addr)

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@@ -0,0 +1,19 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
if [ "x${BUILD_PROFILE}" == "xintel" ]; then
EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
fi
installRequirements

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@@ -0,0 +1,13 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
ensureVenv
python3 -m grpc_tools.protoc -I../.. -I./ --python_out=. --grpc_python_out=. backend.proto

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@@ -0,0 +1,7 @@
rfdetr
opencv-python
accelerate
peft
inference
torch==2.7.1
optimum-quanto

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@@ -0,0 +1,8 @@
--extra-index-url https://download.pytorch.org/whl/cu118
torch==2.7.1+cu118
rfdetr
opencv-python
accelerate
inference
peft
optimum-quanto

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@@ -0,0 +1,7 @@
torch==2.7.1
rfdetr
opencv-python
accelerate
inference
peft
optimum-quanto

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@@ -0,0 +1,9 @@
--extra-index-url https://download.pytorch.org/whl/rocm6.3
torch==2.7.1+rocm6.3
torchvision==0.22.1+rocm6.3
rfdetr
opencv-python
accelerate
inference
peft
optimum-quanto

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@@ -0,0 +1,13 @@
--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
intel-extension-for-pytorch==2.3.110+xpu
torch==2.3.1+cxx11.abi
torchvision==0.18.1+cxx11.abi
oneccl_bind_pt==2.3.100+xpu
optimum[openvino]
setuptools
rfdetr
inference
opencv-python
accelerate
peft
optimum-quanto

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@@ -0,0 +1,3 @@
grpcio==1.71.0
protobuf
grpcio-tools

9
backend/python/rfdetr/run.sh Executable file
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@@ -0,0 +1,9 @@
#!/bin/bash
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
startBackend $@

11
backend/python/rfdetr/test.sh Executable file
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@@ -0,0 +1,11 @@
#!/bin/bash
set -e
backend_dir=$(dirname $0)
if [ -d $backend_dir/common ]; then
source $backend_dir/common/libbackend.sh
else
source $backend_dir/../common/libbackend.sh
fi
runUnittests