Update README.md

README.md

@@ -115,6 +115,20 @@ Run `detect.py` with `webcam=True` to show a live webcam feed.
 - Darknet `*.weights` format: https://pjreddie.com/media/files/yolov3.weights
 - PyTorch `*.pt` format: https://drive.google.com/drive/folders/1uxgUBemJVw9wZsdpboYbzUN4bcRhsuAI
 
+## Darknet Conversion
+
+```bash
+git clone https://github.com/ultralytics/yolov3 && cd yolov3
+
+# convert darknet cfg/weights to pytorch model
+python3  -c "from models import *; convert('cfg/yolov3-spp.cfg', 'weights/yolov3-spp.weights')"
+Success: converted 'weights/yolov3-spp.weights' to 'converted.pt'
+
+# convert cfg/pytorch model to darknet weights
+python3  -c "from models import *; convert('cfg/yolov3-spp.cfg', 'weights/yolov3-spp.pt')"
+Success: converted 'weights/yolov3-spp.pt' to 'converted.weights'
+```
+
 # mAP
 
 - Use `test.py --weights weights/yolov3.weights` to test the official YOLOv3 weights.
@@ -195,20 +209,6 @@ Computing mAP: 100%|████████████████████
 
 ```
 
-# Conversion to/from Darknet
-
-```bash
-git clone https://github.com/ultralytics/yolov3 && cd yolov3
-
-# convert darknet cfg/weights to pytorch model
-python3  -c "from models import *; convert('cfg/yolov3-spp.cfg', 'weights/yolov3-spp.weights')"
-Success: converted 'weights/yolov3-spp.weights' to 'converted.pt'
-
-# convert cfg/pytorch model to darknet weights
-python3  -c "from models import *; convert('cfg/yolov3-spp.cfg', 'weights/yolov3-spp.pt')"
-Success: converted 'weights/yolov3-spp.pt' to 'converted.weights'
-```
-
 # Citation
 
 [![DOI](https://zenodo.org/badge/146165888.svg)](https://zenodo.org/badge/latestdoi/146165888)