Update README.md

README.md

@@ -2,13 +2,16 @@
 
 ## (neural networks for object detection)
 
-### Tensor Cores can be used on [Linux](https://github.com/AlexeyAB/darknet#how-to-compile-on-linux-using-cmake) and [Windows](https://github.com/AlexeyAB/darknet#how-to-compile-on-windows-using-cmake)
-
 Paper Yolo v4: https://arxiv.org/abs/2004.10934
 
 More details: [medium link](https://medium.com/@alexeyab84/yolov4-the-most-accurate-real-time-neural-network-on-ms-coco-dataset-73adfd3602fe?source=friends_link&sk=6039748846bbcf1d960c3061542591d7)
 
-Discussion: [Reddit](https://www.reddit.com/r/MachineLearning/comments/gydxzd/p_yolov4_the_most_accurate_realtime_neural/)
+Manual: https://github.com/AlexeyAB/darknet/wiki
+
+Discussion: 
+ - [Reddit](https://www.reddit.com/r/MachineLearning/comments/gydxzd/p_yolov4_the_most_accurate_realtime_neural/)
+ - [Google-groups](https://groups.google.com/forum/#!forum/darknet)
+ - [Discord](https://discord.gg/zSq8rtW)
 
 About Darknet framework: http://pjreddie.com/darknet/
 
@@ -49,9 +52,10 @@ About Darknet framework: http://pjreddie.com/darknet/
 10. [How to mark bounded boxes of objects and create annotation files](#how-to-mark-bounded-boxes-of-objects-and-create-annotation-files)
 11. [How to use Yolo as DLL and SO libraries](#how-to-use-yolo-as-dll-and-so-libraries)
 
-|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) |   ![modern_gpus](https://user-images.githubusercontent.com/4096485/82835867-f1c62380-9ecd-11ea-9134-1598ed2abc4b.png) AP50:95 / AP50 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2004.10934 |
+![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) 
+
+![modern_gpus](https://user-images.githubusercontent.com/4096485/82835867-f1c62380-9ecd-11ea-9134-1598ed2abc4b.png) AP50:95 / AP50 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2004.10934 
 
-|---|---|
 
 tkDNN-TensorRT accelerates YOLOv4 **~2x** times for batch=1 and **3x-4x** times for batch=4.
 * tkDNN: https://github.com/ceccocats/tkDNN
@@ -85,7 +89,7 @@ Others: https://www.youtube.com/user/pjreddie/videos
 
 1. Download and unzip test-dev2017 dataset from MS COCO server: http://images.cocodataset.org/zips/test2017.zip
 2. Download list of images for Detection taks and replace the paths with yours: https://raw.githubusercontent.com/AlexeyAB/darknet/master/scripts/testdev2017.txt
-3. Download `yolov4.weights` file: https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT
+3. Download `yolov4.weights` file 245 MB: [yolov4.weights](https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights) (Google-drive mirror [yolov4.weights](https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT) )
 4. Content of the file `cfg/coco.data` should be
 
 ```ini