Update README.md

README.md

@@ -162,18 +162,12 @@ python benchmarks.py --size 416 --model yolov4 --weights ./data/yolov4.weights
 | YoloV4 FPS  |         |         |         |
 
 
-### Traning your own model
-```bash
-# Prepare your dataset
-# If you want to train from scratch:
-In config.py set FISRT_STAGE_EPOCHS=0 
-# Run script:
-python train.py
 # Transfer learning: 
 python train.py --weights ./data/yolov4.weights
 ```
 The training performance is not fully reproduced yet, so I recommended to use Alex's [Darknet](https://github.com/AlexeyAB/darknet) to train your own data, then convert the .weights to tensorflow or tflite.
 
+
 ### References
 
   * YOLOv4: Optimal Speed and Accuracy of Object Detection [YOLOv4](https://arxiv.org/abs/2004.10934).