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| # Freeze module | |
| This page guide users to freeze module in YOLOX. | |
| Exp controls everything in YOLOX, so let's start from creating an Exp object. | |
| ## 1. Create your own expermiment object | |
| We take an example of YOLOX-S model on COCO dataset to give a more clear guide. | |
| Import the config you want (or write your own Exp object inherit from `yolox.exp.BaseExp`). | |
| ```python | |
| from yolox.exp.default.yolox_s import Exp as MyExp | |
| ``` | |
| ## 2. Override `get_model` method | |
| Here is a simple code to freeze backbone (FPN not included) of module. | |
| ```python | |
| class Exp(MyExp): | |
| def get_model(self): | |
| from yolox.utils import freeze_module | |
| model = super().get_model() | |
| freeze_module(model.backbone.backbone) | |
| return model | |
| ``` | |
| if you only want to freeze FPN, `freeze_module(model.backbone)` might help. | |
| ## 3. Train | |
| Suppose that the path of your Exp is `/path/to/my_exp.py`, use the following command to train your model. | |
| ```bash | |
| python3 -m yolox.tools.train -f /path/to/my_exp.py | |
| ``` | |
| For more details of training, run the following command. | |
| ```bash | |
| python3 -m yolox.tools.train --help | |
| ``` | |