Fix a serious doc issue

This commit is contained in:
Leif 2021-09-26 10:05:44 +08:00
parent 551f4b0d94
commit 01b249cce3
2 changed files with 8 additions and 8 deletions

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@ -91,11 +91,11 @@ wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dyg
```shell ```shell
# 单机单卡训练 mv3_db 模型 # 单机单卡训练 mv3_db 模型
python3 tools/train.py -c configs/det/det_mv3_db.yml \ python3 tools/train.py -c configs/det/det_mv3_db.yml \
-o Global.pretrain_weights=./pretrain_models/MobileNetV3_large_x0_5_pretrained -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
# 单机多卡训练,通过 --gpus 参数设置使用的GPU ID # 单机多卡训练,通过 --gpus 参数设置使用的GPU ID
python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs/det/det_mv3_db.yml \ python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs/det/det_mv3_db.yml \
-o Global.pretrain_weights=./pretrain_models/MobileNetV3_large_x0_5_pretrained -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
``` ```
上述指令中,通过-c 选择训练使用configs/det/det_db_mv3.yml配置文件。 上述指令中,通过-c 选择训练使用configs/det/det_db_mv3.yml配置文件。
@ -114,7 +114,7 @@ python3 tools/train.py -c configs/det/det_mv3_db.yml -o Optimizer.base_lr=0.0001
python3 tools/train.py -c configs/det/det_mv3_db.yml -o Global.checkpoints=./your/trained/model python3 tools/train.py -c configs/det/det_mv3_db.yml -o Global.checkpoints=./your/trained/model
``` ```
**注意**`Global.checkpoints`的优先级高于`Global.pretrain_weights`的优先级,即同时指定两个参数时,优先加载`Global.checkpoints`指定的模型,如果`Global.checkpoints`指定的模型路径有误,会加载`Global.pretrain_weights`指定的模型。 **注意**`Global.checkpoints`的优先级高于`Global.pretrained_model`的优先级,即同时指定两个参数时,优先加载`Global.checkpoints`指定的模型,如果`Global.checkpoints`指定的模型路径有误,会加载`Global.pretrained_model`指定的模型。
<a name="15---backbone---"></a> <a name="15---backbone---"></a>
## 1.5 更换Backbone 训练 ## 1.5 更换Backbone 训练

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@ -75,14 +75,14 @@ wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dyg
``` ```
# 2. TRAINING ## 2. Training
### 2.1 Start Training ### 2.1 Start Training
*If CPU version installed, please set the parameter `use_gpu` to `false` in the configuration.* *If CPU version installed, please set the parameter `use_gpu` to `false` in the configuration.*
```shell ```shell
python3 tools/train.py -c configs/det/det_mv3_db.yml \ python3 tools/train.py -c configs/det/det_mv3_db.yml \
-o Global.pretrain_weights=./pretrain_models/MobileNetV3_large_x0_5_pretrained -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
``` ```
In the above instruction, use `-c` to select the training to use the `configs/det/det_db_mv3.yml` configuration file. In the above instruction, use `-c` to select the training to use the `configs/det/det_db_mv3.yml` configuration file.
@ -92,12 +92,12 @@ You can also use `-o` to change the training parameters without modifying the ym
```shell ```shell
# single GPU training # single GPU training
python3 tools/train.py -c configs/det/det_mv3_db.yml -o \ python3 tools/train.py -c configs/det/det_mv3_db.yml -o \
Global.pretrain_weights=./pretrain_models/MobileNetV3_large_x0_5_pretrained \ Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained \
Optimizer.base_lr=0.0001 Optimizer.base_lr=0.0001
# multi-GPU training # multi-GPU training
# Set the GPU ID used by the '--gpus' parameter. # Set the GPU ID used by the '--gpus' parameter.
python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs/det/det_mv3_db.yml -o Global.pretrain_weights=./pretrain_models/MobileNetV3_large_x0_5_pretrained python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs/det/det_mv3_db.yml -o Global.pretrained_model=./pretrain_models/MobileNetV3_large_x0_5_pretrained
``` ```
@ -109,7 +109,7 @@ For example:
python3 tools/train.py -c configs/det/det_mv3_db.yml -o Global.checkpoints=./your/trained/model python3 tools/train.py -c configs/det/det_mv3_db.yml -o Global.checkpoints=./your/trained/model
``` ```
**Note**: The priority of `Global.checkpoints` is higher than that of `Global.pretrain_weights`, that is, when two parameters are specified at the same time, the model specified by `Global.checkpoints` will be loaded first. If the model path specified by `Global.checkpoints` is wrong, the one specified by `Global.pretrain_weights` will be loaded. **Note**: The priority of `Global.checkpoints` is higher than that of `Global.pretrained_model`, that is, when two parameters are specified at the same time, the model specified by `Global.checkpoints` will be loaded first. If the model path specified by `Global.checkpoints` is wrong, the one specified by `Global.pretrained_model` will be loaded.
### 2.3 Training with New Backbone ### 2.3 Training with New Backbone