Steps for usage

README.md

@@ -1,12 +1,16 @@
 # yolov3_prune
   In this project, you can end-to-end pruning models.It should be noted that my project is based on others projects,so,if you want prune yolov3 model, you can use the following steps:
+
   first stage:
     git clone https://github.com/wizyoung/YOLOv3_TensorFlow
+
   second stage:
     Train the model according to his steps， just like create your dataset, and use: python train.py, then, you will obtained a yolov3 model.
+
   third stage:
     Then, use my project, put my project file overwrite his project files, in pruning_kneans_yolov3.py tihs file, modify your model path and your saveed path, at last use: python pruning_kneans_yolov3.py, you will obtain a prune model ,default prune ratio is 0.8, 
 if you want other rations, you can edit params.
+
   last stage:
     Fine tune mode, python finetune.py