AIDB的目的是使用c++快速AI模型，集成了目前市面上比较主流的几个c++部署框架，包括ONNX、MNN、NCNN、TNN、Paddle和OpenVINO。将几个框架抽象成统一的接口，通过配置文件可以方便调用不同框架和模型。 并且提供了很多预训练模型供调用测试，涉及目标检测、分类和生成模型。
持续更新ing
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Try out the web demo:
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Run the C++ demo on Google Colab:
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Run the Python demo on Google Colab:
| aidb-webassembly-webcam-demo | aidb-webassembly-capture-demo |
|---|---|
 |
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Model Lite: MEGA | Baidu: 92e8
docker pull mister5ive/ai.deploy.boxor 你自己的环境
Refer to aidb-webassembly-demo
mkdir build && cd build
cmake .. -DENGINE_MNN={ON/OFF} -DENGINE_ORT={ON/OFF} -DENGINE_NCNN={ON/OFF} -DENGINE_TNN={ON/OFF} -DENGINE_OPV={ON/OFF} -DENGINE_PPLite={ON/OFF}
make -j8Linux下，run前执行 source set_env.sh
./build/samples/FaceDetect model_name backend type inputfile-
model_name
- scrfd_10g_kps
- scrfd_2.5g_kps
- scrfd_500m_kps
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/FaceDetectWithLandmark model_name backend pfpld backend type inputfile-
model_name
- scrfd_10g_kps
- scrfd_2.5g_kps
- scrfd_500m_kps
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/FaceDetectWith3DDFA det_model_name backend tddfa_model_name backend type inputfile-
det_backend
- scrfd_10g_kps
- scrfd_2.5g_kps
- scrfd_500m_kps
-
tddfa_model_name
- 3ddfa_mb1_bfm_base
- 3ddfa_mb1_bfm_dense
- 3ddfa_mb05_bfm_base
- 3ddfa_mb05_bfm_dense
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/FaceParsing bisenet backend type inputfile-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/PPOcr ppocr_det det_backend ppocr_cls cls_backend ppocr_ret rec_backend type inputfile-
det_backend/cls_backend/rec_backend
- ONNX
- MNN
- NCNN
- OpenVINO
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/YoloX model_name backend type inputfile-
model_name
- yolox_tiny
- yolox_nano
- yolox_s
- yolox_m
- yolox_l
- yolox_x
- yolox_darknet
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/YoloV7 model_name backend type inputfile-
model_name
- yolov7_tiny
- yolov7_tiny_grid
- yolov7
- yolov7_grid
- yolov7x
- yolov7x_grid
- yolov7_d6_grid
- yolov7_e6_grid
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/YoloV8 model_name backend type inputfile-
model_name
- yolov8n
- yolov8s
- yolov8m
- yolov8l
- yolov8x
-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/MobileViT model_name backend inputfile-
model_name
- mobilevit_xxs
- mobilevit_s
-
backend
- ONNX
- MNN
- OpenVINO
./build/samples/Movenet movenet backend type inputfile-
backend
- ONNX
- MNN
- NCNN
- OpenVINO
- TNN
- PaddleLite
-
type
- 0 - image
- 1 - video
-
inputfile: 0 is webcam
./build/samples/MobileStyleGan mobilestylegan_mappingnetwork map_backend mobilestylegan_synthesisnetwork syn_backend- map_backend/syn_backend
- ONNX
- MNN
- OpenVINO
./build/samples/AnimeGan model_name backend 0 inputfile-
model_name
- animeganv2_celeba_distill
- animeganv2_celeba_distill_dynamic
- animeganv2_face_paint_v1
- animeganv2_face_paint_v1_dynamic
- animeganv2_face_paint_v2
- animeganv2_face_paint_v2_dynamic
- animeganv2_paprika
- animeganv2_paprika_dynamic
-
backend
- ONNX
- MNN
- OpenVINO
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