Focoos Foundational Models

Model Name	Task	Metrics	Domain
focoos_object365	Detection	-	Common Objects, 365 classes
focoos_rtdetr	Detection	-	Common Objects, 80 classes
focoos_cts_medium	Semantic Segmentation	-	Autonomous driving, 30 classes
focoos_cts_large	Semantic Segmentation	-	Autonomous driving, 30 classes
focoos_ade_nano	Semantic Segmentation	-	Common Scenes, 150 classes
focoos_ade_small	Semantic Segmentation	-	Common Scenes, 150 classes
focoos_ade_medium	Semantic Segmentation	-	Common Scenes, 150 classes
focoos_ade_large	Semantic Segmentation	-	Common Scenes, 150 classes
focoos_aeroscapes	Semantic Segmentation	-	Drone Aerial Scenes, 11 classes
focoos_isaid_nano	Semantic Segmentation	-	Satellite Imagery, 15 classes
focoos_isaid_medium	Semantic Segmentation	-	Satellite Imagery, 15 classes

Focoos SDK

Requirements

For local inference, ensure that you have CUDA 12 and cuDNN 9 installed, as they are required for onnxruntime version 1.20.1.

To install cuDNN 9:

apt-get -y install cudnn9-cuda-12

To perform inference using TensorRT, ensure you have TensorRT version 10.5 installed.

Install

Nvidia GPU:

pip install '.[gpu]'

Nvidia GPU,TensorRT:

pip install '.[gpu,tensorrt]'

CPU,COREML:

pip install '.[cpu]'

🤖 Cloud Inference

from focoos import Focoos

focoos = Focoos(api_key=os.getenv("FOCOOS_API_KEY"))

model = focoos.get_remote_model("focoos_object365")
detections = model.infer("./image.jpg", threshold=0.4)

🤖 Cloud Inference with Gradio

setup FOCOOS_API_KEY_GRADIO environment variable with your Focoos API key

pip install '.[gradio]'

python gradio/app.py

Local Inference

from focoos import Focoos

focoos = Focoos(api_key=os.getenv("FOCOOS_API_KEY"))

model = focoos.get_local_model("focoos_object365")

detections = model.infer("./image.jpg", threshold=0.4)