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Update README.md

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Micaela Verucchi
2020-08-06 11:05:26 +02:00
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@@ -14,7 +14,7 @@ M. Verucchi, G. Brilli, D. Sapienza, M. Verasani, M. Arena, F. Gatti, A. Capoton
"A Systematic Assessment of Embedded Neural Networks for Object Detection", in IEEE International Conference on Emerging Technologies and Factory Automation (2020) "A Systematic Assessment of Embedded Neural Networks for Object Detection", in IEEE International Conference on Emerging Technologies and Factory Automation (2020)
``` ```
## Results ## FPS Results
Inference FPS of yolov4 with tkDNN, average of 1200 images with the same dimesion as the input size, on Inference FPS of yolov4 with tkDNN, average of 1200 images with the same dimesion as the input size, on
* RTX 2080Ti (CUDA 10.2, TensorRT 7.0.0, Cudnn 7.6.5); * RTX 2080Ti (CUDA 10.2, TensorRT 7.0.0, Cudnn 7.6.5);
* Xavier AGX, Jetpack 4.3 (CUDA 10.0, CUDNN 7.6.3, tensorrt 6.0.1 ); * Xavier AGX, Jetpack 4.3 (CUDA 10.0, CUDNN 7.6.3, tensorrt 6.0.1 );
@@ -40,6 +40,20 @@ Inference FPS of yolov4 with tkDNN, average of 1200 images with the same dimesio
| Nano | yolo4 512 | 2,32 | 2,34 | 3,02 | 3,04 | - | - | | Nano | yolo4 512 | 2,32 | 2,34 | 3,02 | 3,04 | - | - |
| Nano | yolo4 608 | 1,40 | 1,41 | 1,92 | 1,93 | - | - | | Nano | yolo4 608 | 1,40 | 1,41 | 1,92 | 1,93 | - | - |
## MAP Results
Results for COCO val 2017 (5k images), on RTX 2080Ti, with conf threshold=0.001
| | CodaLab | CodaLab | CodaLab | CodaLab | tkDNN map | tkDNN map |
| -------------------- | :-----------: | :-------: | :-----------: | :---------: | :-----------: | :-------: |
| | **tkDNN** | **tkDNN** | **darknet** | **darknet** | **tkDNN** | **tkDNN** |
| | MAP(0.5:0.95) | AP50 | MAP(0.5:0.95) | AP50 | MAP(0.5:0.95) | AP50 |
| Yolov3 (416x416) | 0.381 | 0.675 | 0.380 | 0.675 | 0.372 | 0.663 |
| yolov4 (416x416) | 0.468 | 0.705 | 0.471 | 0.710 | 0.459 | 0.695 |
| yolov3tiny (416x416) | 0.096 | 0.202 | 0.096 | 0.201 | 0.093 | 0.198 |
| yolov4tiny (416x416) | 0.202 | 0.400 | 0.201 | 0.400 | 0.197 | 0.395 |
| Cnet-dla34 (512x512) | 0.366 | 0.543 | \- | \- | 0.361 | 0.535 |
| mv2SSD (512x512) | 0.226 | 0.381 | \- | \- | 0.223 | 0.378 |
## Index ## Index
- [tkDNN](#tkdnn) - [tkDNN](#tkdnn)
- [Index](#index) - [Index](#index)