Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/yhwang-hub/dl_model_infer
πππThis is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yolov8-seg, yolov8-pose, yolov8-obb, yolox, RTDETR, DETR, depth-anything, yolop, yolopv2, SMOKE, yolov9 and other models.πππ
https://github.com/yhwang-hub/dl_model_infer
Last synced: 3 months ago
JSON representation
πππThis is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yolov8-seg, yolov8-pose, yolov8-obb, yolox, RTDETR, DETR, depth-anything, yolop, yolopv2, SMOKE, yolov9 and other models.πππ
- Host: GitHub
- URL: https://github.com/yhwang-hub/dl_model_infer
- Owner: yhwang-hub
- Created: 2023-06-08T07:25:09.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-05-04T08:44:30.000Z (9 months ago)
- Last Synced: 2024-08-01T03:18:54.519Z (6 months ago)
- Language: C++
- Homepage:
- Size: 36.5 MB
- Stars: 105
- Watchers: 2
- Forks: 16
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-yolo-object-detection - yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS. (Lighter and Deployment Frameworks)
- awesome-yolo-object-detection - yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS. (Lighter and Deployment Frameworks)
- awesome-cuda-triton-hpc - yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS. (Frameworks)
- awesome-cuda-triton-hpc - yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS. (Frameworks)