haotian/duan8
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Wang Xinyu 2024-03-11 13:01:58 +08:00 committed by GitHub
parent e73bffcd25
commit 04d3a931f5
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -14,6 +14,8 @@ The basic workflow of TensorRTx is:
4. Load the TensorRT engine and run inference. 4. Load the TensorRT engine and run inference.
## News ## News
- `11 Mar 2024`. [WuxinrongY](https://github.com/WuxinrongY): YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
- `7 Mar 2024`. [AadeIT](https://github.com/AadeIT): CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes - `7 Mar 2024`. [AadeIT](https://github.com/AadeIT): CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- `17 Oct 2023`. [Rex-LK](https://github.com/Rex-LK): YOLOv8-Seg - `17 Oct 2023`. [Rex-LK](https://github.com/Rex-LK): YOLOv8-Seg
- `30 Jun 2023`. [xiaocao-tian](https://github.com/xiaocao-tian) and [lindsayshuo](https://github.com/lindsayshuo): YOLOv8 - `30 Jun 2023`. [xiaocao-tian](https://github.com/xiaocao-tian) and [lindsayshuo](https://github.com/lindsayshuo): YOLOv8
@ -28,7 +30,6 @@ The basic workflow of TensorRTx is:
- `26 May 2022`. [triple-Mu](https://github.com/triple-Mu): YOLOv5 python script with CUDA Python API. - `26 May 2022`. [triple-Mu](https://github.com/triple-Mu): YOLOv5 python script with CUDA Python API.
- `23 May 2022`. [yhpark](https://github.com/yester31): Real-ESRGAN, Practical Algorithms for General Image/Video Restoration. - `23 May 2022`. [yhpark](https://github.com/yester31): Real-ESRGAN, Practical Algorithms for General Image/Video Restoration.
- `19 May 2022`. [vjsrinivas](https://github.com/vjsrinivas): YOLOv3 TRT8 support and Python script. - `19 May 2022`. [vjsrinivas](https://github.com/vjsrinivas): YOLOv3 TRT8 support and Python script.
- `15 Mar 2022`. [sky_hole](https://github.com/wdhao): Swin Transformer - Semantic Segmentation.
## Tutorials ## Tutorials
@ -77,6 +78,7 @@ Following models are implemented.
|[yolov5](./yolov5)| yolov5 v1.0-v7.0 of [ultralytics/yolov5](https://github.com/ultralytics/yolov5), detection, classification and instance segmentation | |[yolov5](./yolov5)| yolov5 v1.0-v7.0 of [ultralytics/yolov5](https://github.com/ultralytics/yolov5), detection, classification and instance segmentation |
|[yolov7](./yolov7)| yolov7 v0.1, pytorch implementation from [WongKinYiu/yolov7](https://github.com/WongKinYiu/yolov7) | |[yolov7](./yolov7)| yolov7 v0.1, pytorch implementation from [WongKinYiu/yolov7](https://github.com/WongKinYiu/yolov7) |
|[yolov8](./yolov8)| yolov8, pytorch implementation from [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) | |[yolov8](./yolov8)| yolov8, pytorch implementation from [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) |
|[yolov9](./yolov9)| The Pytorch implementation is [WongKinYiu/yolov9](https://github.com/WongKinYiu/yolov9). |
|[yolop](./yolop)| yolop, pytorch implementation from [hustvl/YOLOP](https://github.com/hustvl/YOLOP) | |[yolop](./yolop)| yolop, pytorch implementation from [hustvl/YOLOP](https://github.com/hustvl/YOLOP) |
|[retinaface](./retinaface)| resnet50 and mobilnet0.25, weights from [biubug6/Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface) | |[retinaface](./retinaface)| resnet50 and mobilnet0.25, weights from [biubug6/Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface) |
|[arcface](./arcface)| LResNet50E-IR, LResNet100E-IR and MobileFaceNet, weights from [deepinsight/insightface](https://github.com/deepinsight/insightface) | |[arcface](./arcface)| LResNet50E-IR, LResNet100E-IR and MobileFaceNet, weights from [deepinsight/insightface](https://github.com/deepinsight/insightface) |