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설치 | 문서 사용하기 | 빠른 시작 | API문서 | 로그 업데이트

[](../../examples/vision/classification) [](../../examples/vision/detection) [](../../examples/vision/segmentation/paddleseg) [](../../examples/vision/segmentation/paddleseg) [](../../examples/vision/matting) [](../../examples/vision/matting) [](../../examples/vision/ocr)
[](../../examples/vision/facealign) [](../../examples/vision/keypointdetection) [](https://github.com/PaddlePaddle/FastDeploy/issues/6) [](../../examples/text) [](https://paddlespeech.bj.bcebos.com/Parakeet/docs/demos/parakeet_espnet_fs2_pwg_demo/tn_g2p/parakeet/001.wav)
**⚡Fastdeploy** 장면쉽게 유연 한 극,효율적 AI 추리 도구 가 배치 돼 있다.📦 제공 개표 즉의**구름을 단**부처 체험 지원 넘 🔥 160 +**text**,**비전**,**speech**과**다른 모드**모델 🔚 실현에 차 려 단'의 추리 성능 최적화 한다.이미지 분류, 객체 검출, 이미지 분할, 얼굴 검출, 얼굴 인식, 포인트 검출, 퍼팅, OCR, NLP, TTS 등의 작업을 포함하고 있어 개발자의**다중 장면, 다중 하드웨어, 다중 플랫폼**을 위한 산업 배치 요구를 충족시킨다.
## 🌠 최근 업데이트 - ✨✨✨ **2023.01.17** fastdeploy 시리즈의[**YOLOv8**](./../../examples/vision/detection/paddledetection/) 하드웨어 배포 지원을 공개하였다.그 중에는[**Paddle YOLOv8**](https://github.com/PaddlePaddle/PaddleYOLO/tree/release/2.5/configs/yolov8)그리고[**커뮤니티 ultralytics YOLOv8**](https://github.com/ultralytics/ultralytics) - [**Paddle YOLOv8**](https://github.com/PaddlePaddle/PaddleYOLO/tree/release/2.5/configs/yolov8) 을 배포할 수 있는 하드웨어:[**Intel CPU**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**NVIDIA GPU**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**Jetson**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**Phytium**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**KunlunXin**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**Huawei Ascend**](./../../examples/vision/detection/paddledetection/python/infer_yolov8.py)、[**ARM CPU**](./../../examples/vision/detection/paddledetection/cpp/infer_yolov8.cc), 포함**Python** 배치 와 **C++** 배치;**계산 할 수TPU** 와 **RK3588** 업데이트 중 - [**커뮤니티 ultralytics YOLOv8**](https://github.com/ultralytics/ultralytics) 을 배포할 수 있는 하드웨어:[**Intel CPU**](./../../examples/vision/detection/yolov8)、[**NVIDIA GPU**](./../../examples/vision/detection/yolov8)、[**Jetson**](./../../examples/vision/detection/yolov8), 포함**Python** 배치 와 **C++** 배치; - **YOLOv8**, **PP-YOLOE+**, **YOLOv5** 와 같은 모델의 성능을 비교하기 위해 fastdeploy 모델 api 전환 - **✨👥✨ 지역 사회 교류** - **Slack**:Join our [Slack community](https://join.slack.com/t/fastdeployworkspace/shared_invite/zt-1m88mytoi-mBdMYcnTF~9LCKSOKXd6Tg) and chat with other community members about ideas - **WeChat**: 차원 코드를 스캔하고 설문지를 기입하여 기술커뮤니티에 가입하며 커뮤니티 개발자와 교류하고 산업전달통점 문제를 배치한다
## 🌌 추리 백엔드와 능력 | | 비디오 스트림 | 서비스화 배치 |엔드 투 엔드 성능 최적화| Linux | Windows | Android |macOS | |:----------|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:| | X86_64 CPU | |       | |

|

| |

| | NVDIA GPU | | |
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| | | |Phytium CPU | | | |
| | | | | KunlunXin XPU | | | | | | | | | Huawei Ascend NPU | | |
| | | | | |Graphcore IPU | | | | | | | | | Sophgo | | | | | | | | |Intel graphics card | | | | | | | | |Jetson | | |
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| | | | |ARM CPU | | |
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| | | | |RK3588 etc. | | | | | | | | |RV1126 etc. | | | | | | | | | Amlogic | | | | | | | | | NXP | | | | | | | |
## 🔮 문서 자습서 - [✴️ Python SDK 빠른 시작](#fastdeploy-quick-start-python) - [✴️ C++ SDK 빠른 시작](#fastdeploy-quick-start-cpp) - **문서 설치** - [사전 컴파일 라이브러리 다운로드 설치](./../../docs/cn/build_and_install/download_prebuilt_libraries.md) - [GPU 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/gpu.md) - [CPU 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/cpu.md) - [IPU 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/ipu.md) - [KunlunXin XPU 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/kunlunxin.md) - [Rockchip RV1126 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/rv1126.md) - [Rockchip RK3588 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/rknpu2.md) - [Amlogic A311D 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/a311d.md) - [Huawei Ascend 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/huawei_ascend.md) - [Jetson 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/jetson.md) - [Android 배치 환경 컴파일 설치](./../../docs/cn/build_and_install/android.md) - **빠른 사용** - [PP-YOLOE Python 배포 예제](./../../docs/cn/quick_start/models/python.md) - [PP-YOLOE C++ 배포 예제](./../../docs/cn/quick_start/models/cpp.md) - **백엔드 사용** - [Runtime Python 사용 예시](./../../docs/cn/quick_start/runtime/python.md) - [Runtime C++ 사용 예시](./../../docs/cn/quick_start/runtime/cpp.md) - [모델 배포의 추리 백엔드를 어떻게 설정할 것인가](./../../docs/cn/faq/how_to_change_backend.md) - **서비스화 배치** - [서비스 배포 이미지 컴파일 설치](./../../serving/docs/zh_CN/compile.md) - [서비스화 배치](./../../serving) - **API 문서** - [Python API 문서](https://www.paddlepaddle.org.cn/fastdeploy-api-doc/python/html/) - [C++ API 문서](https://www.paddlepaddle.org.cn/fastdeploy-api-doc/cpp/html/) - [Android Java API 문서](./../../java/android) - **성능 개선** - [정량화 가속](./../../docs/cn/quantize.md) - [다중 스레드, 다중 프로세스 사용](./../../tutorials/multi_thread) - **늘 보는 질문** - [1. Windows C++ SDK 어떻게 사용하는가](./../../docs/cn/faq/use_sdk_on_windows.md) - [2. Android 어떻게 사용하는가 FastDeploy C++ SDK](./../../docs/cn/faq/use_cpp_sdk_on_android.md) - [3. TensorRT 몇 가지 기술들이 있습니다](./../../docs/en/faq/tensorrt_tricks.md) - **더 많은FastDeploy 배포 모듈** - [Benchmark 테스트](./../../benchmark) - **모델 지원 목록** - [🖥️ 서비스 모델 지원 목록](#fastdeploy-server-models) - [📳 모바일 및 엔드사이드 모델 지원 목록](#fastdeploy-edge-models) - [⚛️ Web 및 애플릿 모델 지원 목록](#fastdeploy-web-models) - **💕개발자 기여금** - [새로운 모델 추가](./../../docs/cn/faq/develop_a_new_model.md)
## 빠른 시작💨
Python SDK 빠른 시작(열림 수축)
### 🎆 빠른 설치 #### 🔸 선행의존성 - CUDA >= 11.2、cuDNN >= 8.0、Python >= 3.6 - OS: Linux x86_64/macOS/Windows 10 #### 🔸 설치 GPU 버전 ```bash pip install numpy opencv-python fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html ``` #### [🔸 Conda설치 (추천✨)](./../../docs/cn/build_and_install/download_prebuilt_libraries.md) ```bash conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2 ``` #### 🔸 설치 CPU 버전 ```bash pip install numpy opencv-python fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html ``` ### 🎇 Python 추리 실례 * 모형과 그림을 준비하다 ```bash wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz tar xvf ppyoloe_crn_l_300e_coco.tgz wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg ``` * 추리 결과를 테스트하다 ```python # GPU/TensorRT 배치, 참조 examples/vision/detection/paddledetection/python import cv2 import fastdeploy.vision as vision model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", "ppyoloe_crn_l_300e_coco/model.pdiparams", "ppyoloe_crn_l_300e_coco/infer_cfg.yml") im = cv2.imread("000000014439.jpg") result = model.predict(im) print(result) vis_im = vision.vis_detection(im, result, score_threshold=0.5) cv2.imwrite("vis_image.jpg", vis_im) ```
C++ SDK 빠른 시작 (클릭을 하여 자세한 상황을 살펴보기)
### 🎆 설치 - 참고[C++ 프리컴파일 라이브러리 다운로드](./../../docs/cn/build_and_install/download_prebuilt_libraries.md) #### 🎇 C++ 추리 실례 * 모형과 그림을 준비하다 ```bash wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz tar xvf ppyoloe_crn_l_300e_coco.tgz wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg ``` * 추리 결과를 테스트하다 ```C++ // GPU/TensorRT배치, 참조 examples/vision/detection/paddledetection/cpp #include "fastdeploy/vision.h" int main(int argc, char* argv[]) { namespace vision = fastdeploy::vision; auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", "ppyoloe_crn_l_300e_coco/model.pdiparams", "ppyoloe_crn_l_300e_coco/infer_cfg.yml"); auto im = cv::imread("000000014439.jpg"); vision::DetectionResult res; model.Predict(im, &res); auto vis_im = vision::VisDetection(im, res, 0.5); cv::imwrite("vis_image.jpg", vis_im); return 0; } ```
더 많은 배치 사례를 참고하시기 바랍니다[모델 배포 예제](./../../examples) .
## ✴️ ✴️ 서비스 모델 지원 목록 ✴️ ✴️ 부호 설명: (1) ✅: 지원 되여 있어야 한다; (2) ❔:진행 중이다; (3) N/A:지원되지 않습니다;
서비스 모델 지원 목록 (누르면 축소 가능)
| 작업 장면 | 모형 | Linux | Linux | Win | Win | Mac | Mac | Linux | Linux | Linux | Linux | Linux | |:----------------------:|:--------------------------------------------------------------------------------------------:|:------------------------------------------------:|:----------:|:-------:|:----------:|:-------:|:-------:|:-----------:|:---------------:|:-------------:|:-------------:|:-------:| | --- | --- | X86 CPU | NVIDIA GPU | X86 CPU | NVIDIA GPU | X86 CPU | Arm CPU | AArch64 CPU | Phytium D2000CPU | NVIDIA Jetson | Graphcore IPU | Serving | | Classification | [PaddleClas/ResNet50](./../../examples/vision/classification/paddleclas) | [✅](./examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [TorchVison/ResNet](./../../examples/vision/classification/resnet) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Classification | [ultralytics/YOLOv5Cls](./../../examples/vision/classification/yolov5cls) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Classification | [PaddleClas/PP-LCNet](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/PP-LCNetv2](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/EfficientNet](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/GhostNet](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/MobileNetV1](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/MobileNetV2](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/MobileNetV3](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/ShuffleNetV2](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/SqueeezeNetV1.1](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Classification | [PaddleClas/Inceptionv3](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Classification | [PaddleClas/PP-HGNet](./../../examples/vision/classification/paddleclas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Detection | [PaddleDetection/PP-YOLOE](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [🔥PaddleDetection/YOLOv8](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ |✅ | ❔ | | Detection | [🔥ultralytics/YOLOv8](./../../examples/vision/detection/yolov8) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ |❔ | ❔ | | Detection | [PaddleDetection/PicoDet](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/YOLOX](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/YOLOv3](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/PP-YOLO](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/PP-YOLOv2](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/Faster-RCNN](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [PaddleDetection/Mask-RCNN](./../../examples/vision/detection/paddledetection) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [Megvii-BaseDetection/YOLOX](./../../examples/vision/detection/yolox) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [WongKinYiu/YOLOv7](./../../examples/vision/detection/yolov7) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [WongKinYiu/YOLOv7end2end_trt](./../../examples/vision/detection/yolov7end2end_trt) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Detection | [WongKinYiu/YOLOv7end2end_ort_](./../../examples/vision/detection/yolov7end2end_ort) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [meituan/YOLOv6](./../../examples/vision/detection/yolov6) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [ultralytics/YOLOv5](./../../examples/vision/detection/yolov5) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Detection | [WongKinYiu/YOLOR](./../../examples/vision/detection/yolor) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Detection | [WongKinYiu/ScaledYOLOv4](./../../examples/vision/detection/scaledyolov4) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [ppogg/YOLOv5Lite](./../../examples/vision/detection/yolov5lite) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Detection | [RangiLyu/NanoDetPlus](./../../examples/vision/detection/nanodet_plus) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | KeyPoint | [PaddleDetection/TinyPose](./../../examples/vision/keypointdetection/tiny_pose) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | KeyPoint | [PaddleDetection/PicoDet + TinyPose](./../../examples/vision/keypointdetection/det_keypoint_unite) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | HeadPose | [omasaht/headpose](./../../examples/vision/headpose) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Tracking | [PaddleDetection/PP-Tracking](./../../examples/vision/tracking/pptracking) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | OCR | [PaddleOCR/PP-OCRv2](./../../examples/vision/ocr) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | OCR | [PaddleOCR/PP-OCRv3](./../../examples/vision/ocr) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | | Segmentation | [PaddleSeg/PP-LiteSeg](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Segmentation | [PaddleSeg/PP-HumanSegLite](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Segmentation | [PaddleSeg/HRNet](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Segmentation | [PaddleSeg/PP-HumanSegServer](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Segmentation | [PaddleSeg/Unet](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Segmentation | [PaddleSeg/Deeplabv3](./../../examples/vision/segmentation/paddleseg) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | FaceDetection | [biubug6/RetinaFace](./../../examples/vision/facedet/retinaface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceDetection | [Linzaer/UltraFace](./../../examples/vision/facedet/ultraface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceDetection | [deepcam-cn/YOLOv5Face](./../../examples/vision/facedet/yolov5face) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceDetection | [insightface/SCRFD](./../../examples/vision/facedet/scrfd) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceAlign | [Hsintao/PFLD](./../../examples/vision/facealign/pfld) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceAlign | [Single430FaceLandmark1000](./../../examples/vision/facealign/face_landmark_1000) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | FaceAlign | [jhb86253817/PIPNet](./../../examples/vision/facealign) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | FaceRecognition | [insightface/ArcFace](./../../examples/vision/faceid/insightface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceRecognition | [insightface/CosFace](./../../examples/vision/faceid/insightface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceRecognition | [insightface/PartialFC](./../../examples/vision/faceid/insightface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | FaceRecognition | [insightface/VPL](./../../examples/vision/faceid/insightface) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Matting | [ZHKKKe/MODNet](./../../examples/vision/matting/modnet) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Matting | [PeterL1n/RobustVideoMatting]() | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Matting | [PaddleSeg/PP-Matting](./../../examples/vision/matting/ppmatting) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Matting | [PaddleSeg/PP-HumanMatting](./../../examples/vision/matting/modnet) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Matting | [PaddleSeg/ModNet](./../../examples/vision/matting/modnet) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | | Video Super-Resolution | [PaddleGAN/BasicVSR](./) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Video Super-Resolution | [PaddleGAN/EDVR](./../../examples/vision/sr/edvr) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Video Super-Resolution | [PaddleGAN/PP-MSVSR](./../../examples/vision/sr/ppmsvsr) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | | Information Extraction | [PaddleNLP/UIE](./../../examples/text/uie) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ✅ | ❔ | | | NLP | [PaddleNLP/ERNIE-3.0](./../../examples/text/ernie-3.0) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | ❔ | ✅ | | Speech | [PaddleSpeech/PP-TTS](./../../examples/audio/pp-tts) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❔ | ❔ | -- | ✅ |
## 📳 측면 모델 지원 목록
측면 모델 지원 목록 (누르면 축소 가능)
| 작업 장면 | 모형 | 크기(MB) | Linux | Android | Linux | Linux | Linux | Linux | Linux | TBD... | |:------------------:|:-----------------------------------------------------------------------------------------:|:--------:|:-------:|:-------:|:-------:|:-----------------------:|:------------------------------:|:---------------------------:|:--------------------------------:|:-------:| | --- | --- | --- | ARM CPU | ARM CPU | Rockchip-NPU
RK3568/RK3588 | Rockchip-NPU
RV1109/RV1126/RK1808 | Amlogic-NPU
A311D/S905D/C308X | NXP-NPU
i.MX 8M Plus | TBD...| | | Classification | [PaddleClas/ResNet50](./../../examples/vision/classification/paddleclas) | 98 | ✅ | ✅ | ❔ | ✅ | | | | | Classification | [PaddleClas/PP-LCNet](./../../examples/vision/classification/paddleclas) | 11.9 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/PP-LCNetv2](./../../examples/vision/classification/paddleclas) | 26.6 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/EfficientNet](./../../examples/vision/classification/paddleclas) | 31.4 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/GhostNet](./../../examples/vision/classification/paddleclas) | 20.8 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/MobileNetV1](./../../examples/vision/classification/paddleclas) | 17 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/MobileNetV2](./../../examples/vision/classification/paddleclas) | 14.2 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/MobileNetV3](./../../examples/vision/classification/paddleclas) | 22 | ✅ | ✅ | ❔ | ✅ | ❔ | ❔ | -- | | Classification | [PaddleClas/ShuffleNetV2](./../../examples/vision/classification/paddleclas) | 9.2 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/SqueezeNetV1.1](./../../examples/vision/classification/paddleclas) | 5 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/Inceptionv3](./../../examples/vision/classification/paddleclas) | 95.5 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Classification | [PaddleClas/PP-HGNet](./../../examples/vision/classification/paddleclas) | 59 | ✅ | ✅ | ❔ | ✅ | -- | -- | -- | | Detection | [PaddleDetection/PicoDet_s](./../../examples/vision/detection/paddledetection) | 4.9 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | -- | | Detection | [YOLOv5](./../../examples/vision/detection/rkyolo) | | ❔ | ❔ | [✅](./../../examples/vision/detection/rkyolo) | ❔ | ❔ | ❔ | -- | | Face Detection | [deepinsight/SCRFD](./../../examples/vision/facedet/scrfd) | 2.5 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Keypoint Detection | [PaddleDetection/PP-TinyPose](./../../examples/vision/keypointdetection/tiny_pose) | 5.5 | ✅ | ✅ | ❔ | ❔ | ❔ | ❔ | -- | | Segmentation | [PaddleSeg/PP-LiteSeg(STDC1)](./../../examples/vision/segmentation/paddleseg) | 32.2 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Segmentation | [PaddleSeg/PP-HumanSeg-Lite](./../../examples/vision/segmentation/paddleseg) | 0.556 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Segmentation | [PaddleSeg/HRNet-w18](./../../examples/vision/segmentation/paddleseg) | 38.7 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Segmentation | [PaddleSeg/PP-HumanSeg](./../../examples/vision/segmentation/paddleseg) | 107.2 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Segmentation | [PaddleSeg/Unet](./../../examples/vision/segmentation/paddleseg) | 53.7 | ✅ | ✅ | ✅ | -- | -- | -- | -- | | Segmentation | [PaddleSeg/Deeplabv3](./../../examples/vision/segmentation/paddleseg) | 150 | ❔ | ✅ | ✅ | | | | | | OCR | [PaddleOCR/PP-OCRv2](./../../examples/vision/ocr/PP-OCRv2) | 2.3+4.4 | ✅ | ✅ | ❔ | -- | -- | -- | -- | | OCR | [PaddleOCR/PP-OCRv3](./../../examples/vision/ocr/PP-OCRv3) | 2.4+10.6 | ✅ | ❔ | ❔ | ❔ | ❔ | ❔ | -- |
## ⚛️ Web 와 애플릿 모델 지원 목록
웹 및 애플릿 배포 지원 목록 (누르면 축소)
| 작업 장면 | 모형 | [web_demo](./../../examples/application/js/web_demo) | |:------------------:|:-------------------------------------------------------------------------------------------:|:--------------------------------------------:| | --- | --- | [Paddle.js](./../../examples/application/js) | | Detection | [FaceDetection](./../../examples/application/js/web_demo/src/pages/cv/detection) | ✅ | | Detection | [ScrewDetection](./../../examples/application/js/web_demo/src/pages/cv/detection) | ✅ | | Segmentation | [PaddleSeg/HumanSeg](./../../examples/application/js/web_demo/src/pages/cv/segmentation/HumanSeg) | ✅ | | Object Recognition | [GestureRecognition](./../../examples/application/js/web_demo/src/pages/cv/recognition) | ✅ | | Object Recognition | [ItemIdentification](./../../examples/application/js/web_demo/src/pages/cv/recognition) | ✅ | | OCR | [PaddleOCR/PP-OCRv3](./../../examples/application/js/web_demo/src/pages/cv/ocr) | ✅ |
## 💐 Acknowledge 이 프로젝트의 SDK 생성 및 다운로드는 [EasyEdge](https://ai.baidu.com/easyedge/app/openSource) 의 무료 오픈 기능을 사용하여 진행되었습니다. 이에 감사드립니다. ## ©️ License
Fastdeploy 컴플라이언스 [Apache e-2.0 오픈 소스 프로토콜](./../../LICENSE)