Browse Source

Merge branch 'a'

AY's Macbook Pro 3 years ago
parent
commit
c0da6109d6
1 changed files with 2 additions and 70 deletions
  1. 2 70
      README.md

+ 2 - 70
README.md

@@ -1,73 +1,5 @@
 ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png)
 
-# Darknet #
-Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
+Overwrite this repo on top of the original darknet neural network repo to get the one used by ArozOS system
 
-**Discord** invite link for for communication and questions: https://discord.gg/zSq8rtW
-
-## Scaled-YOLOv4: 
-
-* **paper (CVPR 2021)**: https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Scaled-YOLOv4_Scaling_Cross_Stage_Partial_Network_CVPR_2021_paper.html
-
-* **source code - Pytorch (use to reproduce results):** https://github.com/WongKinYiu/ScaledYOLOv4
-
-* **source code - Darknet:** https://github.com/AlexeyAB/darknet
-
-* **Medium:** https://alexeyab84.medium.com/scaled-yolo-v4-is-the-best-neural-network-for-object-detection-on-ms-coco-dataset-39dfa22fa982?source=friends_link&sk=c8553bfed861b1a7932f739d26f487c8
-
-## YOLOv4:
-
-* **paper:** https://arxiv.org/abs/2004.10934
-
-* **source code:** https://github.com/AlexeyAB/darknet
-
-* **Wiki:** https://github.com/AlexeyAB/darknet/wiki
-
-* **useful links:** https://medium.com/@alexeyab84/yolov4-the-most-accurate-real-time-neural-network-on-ms-coco-dataset-73adfd3602fe?source=friends_link&sk=6039748846bbcf1d960c3061542591d7
-
-For more information see the [Darknet project website](http://pjreddie.com/darknet).
-
-
-![yolo_progress](https://user-images.githubusercontent.com/4096485/146988929-1ed0cbec-1e01-4ad0-b42c-808dcef32994.png) https://paperswithcode.com/sota/object-detection-on-coco
-
-----
-
-![scaled_yolov4](https://user-images.githubusercontent.com/4096485/112776361-281d8380-9048-11eb-8083-8728b12dcd55.png) AP50:95 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2011.08036
-
-----
-
-![YOLOv4Tiny](https://user-images.githubusercontent.com/4096485/101363015-e5c21200-38b1-11eb-986f-b3e516e05977.png)
-
-----
-
-![YOLOv4](https://user-images.githubusercontent.com/4096485/90338826-06114c80-dff5-11ea-9ba2-8eb63a7409b3.png)
-
-
-----
-
-![OpenCV_TRT](https://user-images.githubusercontent.com/4096485/90338805-e5e18d80-dff4-11ea-8a68-5710956256ff.png)
-
-
-## Citation
-
-```
-@misc{bochkovskiy2020yolov4,
-      title={YOLOv4: Optimal Speed and Accuracy of Object Detection}, 
-      author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},
-      year={2020},
-      eprint={2004.10934},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV}
-}
-```
-
-```
-@InProceedings{Wang_2021_CVPR,
-    author    = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
-    title     = {{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},
-    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-    month     = {June},
-    year      = {2021},
-    pages     = {13029-13038}
-}
-```
+DKLMEAA