Bobholamovic
2 years ago
commit
635ea1d010
30 changed files with 585 additions and 156 deletions
|
Before Width: | Height: | Size: 229 KiB After Width: | Height: | Size: 225 KiB |
@ -0,0 +1,9 @@ |
||||
# 数据集预处理脚本 |
||||
|
||||
## PaddleRS已支持的数据集预处理脚本列表 |
||||
|
||||
| 任务 | 数据集名称 | 数据集地址 | 预处理脚本 | |
||||
|-----|-----------|----------|----------| |
||||
| 变化检测 | LEVIR-CD | https://justchenhao.github.io/LEVIR/ | [prepare_levircd.py](https://github.com/PaddlePaddle/PaddleRS/blob/develop/tools/prepare_dataset/prepare_levircd.py) | |
||||
| 变化检测 | Season-varying | https://paperswithcode.com/dataset/cdd-dataset-season-varying | [prepare_svcd.py](https://github.com/PaddlePaddle/PaddleRS/blob/develop/tools/prepare_dataset/prepare_svcd.py) | |
||||
| 目标检测 | RSOD | https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset- | [prepare_rsod](https://github.com/PaddlePaddle/PaddleRS/blob/develop/tools/prepare_dataset/prepare_rsod.py) | |
||||
@ -0,0 +1,11 @@ |
||||
# Configurations of FarSeg with RSSeg dataset |
||||
|
||||
_base_: ../_base_/rsseg.yaml |
||||
|
||||
save_dir: ./test_tipc/output/seg/farseg/ |
||||
|
||||
model: !Node |
||||
type: FarSeg |
||||
args: |
||||
in_channels: 10 |
||||
num_classes: 5 |
||||
@ -0,0 +1,53 @@ |
||||
===========================train_params=========================== |
||||
model_name:seg:farseg |
||||
python:python |
||||
gpu_list:0|0,1 |
||||
use_gpu:null|null |
||||
--precision:null |
||||
--num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=20 |
||||
--save_dir:adaptive |
||||
--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=4 |
||||
--model_path:null |
||||
--config:lite_train_lite_infer=./test_tipc/configs/seg/farseg/farseg_rsseg.yaml|lite_train_whole_infer=./test_tipc/configs/seg/farseg/farseg_rsseg.yaml|whole_train_whole_infer=./test_tipc/configs/seg/farseg/farseg_rsseg.yaml |
||||
train_model_name:best_model |
||||
null:null |
||||
## |
||||
trainer:norm |
||||
norm_train:test_tipc/run_task.py train seg |
||||
pact_train:null |
||||
fpgm_train:null |
||||
distill_train:null |
||||
null:null |
||||
null:null |
||||
## |
||||
===========================eval_params=========================== |
||||
eval:null |
||||
null:null |
||||
## |
||||
===========================export_params=========================== |
||||
--save_dir:adaptive |
||||
--model_dir:adaptive |
||||
--fixed_input_shape:[-1,10,512,512] |
||||
norm_export:deploy/export/export_model.py |
||||
quant_export:null |
||||
fpgm_export:null |
||||
distill_export:null |
||||
export1:null |
||||
export2:null |
||||
===========================infer_params=========================== |
||||
infer_model:null |
||||
infer_export:null |
||||
infer_quant:False |
||||
inference:test_tipc/infer.py |
||||
--device:cpu|gpu |
||||
--enable_mkldnn:True |
||||
--cpu_threads:6 |
||||
--batch_size:1 |
||||
--use_trt:False |
||||
--precision:fp32 |
||||
--model_dir:null |
||||
--config:null |
||||
--save_log_path:null |
||||
--benchmark:True |
||||
--model_name:farseg |
||||
null:null |
||||
@ -0,0 +1,94 @@ |
||||
#!/usr/bin/env python |
||||
|
||||
# 图像分割模型FarSeg训练示例脚本 |
||||
# 执行此脚本前，请确认已正确安装PaddleRS库 |
||||
|
||||
import paddlers as pdrs |
||||
from paddlers import transforms as T |
||||
|
||||
# 数据集存放目录 |
||||
DATA_DIR = './data/rsseg/' |
||||
# 训练集`file_list`文件路径 |
||||
TRAIN_FILE_LIST_PATH = './data/rsseg/train.txt' |
||||
# 验证集`file_list`文件路径 |
||||
EVAL_FILE_LIST_PATH = './data/rsseg/val.txt' |
||||
# 数据集类别信息文件路径 |
||||
LABEL_LIST_PATH = './data/rsseg/labels.txt' |
||||
# 实验目录，保存输出的模型权重和结果 |
||||
EXP_DIR = './output/farseg/' |
||||
|
||||
# 下载和解压多光谱地块分类数据集 |
||||
pdrs.utils.download_and_decompress( |
||||
'https://paddlers.bj.bcebos.com/datasets/rsseg.zip', path='./data/') |
||||
|
||||
# 定义训练和验证时使用的数据变换（数据增强、预处理等） |
||||
# 使用Compose组合多种变换方式。Compose中包含的变换将按顺序串行执行 |
||||
# API说明：https://github.com/PaddlePaddle/PaddleRS/blob/develop/docs/apis/data.md |
||||
train_transforms = T.Compose([ |
||||
# 读取影像 |
||||
T.DecodeImg(), |
||||
# 选择前三个波段 |
||||
T.SelectBand([1, 2, 3]), |
||||
# 将影像缩放到512x512大小 |
||||
T.Resize(target_size=512), |
||||
# 以50%的概率实施随机水平翻转 |
||||
T.RandomHorizontalFlip(prob=0.5), |
||||
# 将数据归一化到[-1,1] |
||||
T.Normalize( |
||||
mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]), |
||||
T.ArrangeSegmenter('train') |
||||
]) |
||||
|
||||
eval_transforms = T.Compose([ |
||||
T.DecodeImg(), |
||||
# 验证阶段与训练阶段应当选择相同的波段 |
||||
T.SelectBand([1, 2, 3]), |
||||
T.Resize(target_size=512), |
||||
# 验证阶段与训练阶段的数据归一化方式必须相同 |
||||
T.Normalize( |
||||
mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]), |
||||
T.ReloadMask(), |
||||
T.ArrangeSegmenter('eval') |
||||
]) |
||||
|
||||
# 分别构建训练和验证所用的数据集 |
||||
train_dataset = pdrs.datasets.SegDataset( |
||||
data_dir=DATA_DIR, |
||||
file_list=TRAIN_FILE_LIST_PATH, |
||||
label_list=LABEL_LIST_PATH, |
||||
transforms=train_transforms, |
||||
num_workers=0, |
||||
shuffle=True) |
||||
|
||||
eval_dataset = pdrs.datasets.SegDataset( |
||||
data_dir=DATA_DIR, |
||||
file_list=EVAL_FILE_LIST_PATH, |
||||
label_list=LABEL_LIST_PATH, |
||||
transforms=eval_transforms, |
||||
num_workers=0, |
||||
shuffle=False) |
||||
|
||||
# 构建FarSeg模型 |
||||
# 目前已支持的模型请参考：https://github.com/PaddlePaddle/PaddleRS/blob/develop/docs/intro/model_zoo.md |
||||
# 模型输入参数请参考：https://github.com/PaddlePaddle/PaddleRS/blob/develop/paddlers/tasks/segmenter.py |
||||
model = pdrs.tasks.seg.FarSeg(num_classes=len(train_dataset.labels)) |
||||
|
||||
# 执行模型训练 |
||||
model.train( |
||||
num_epochs=10, |
||||
train_dataset=train_dataset, |
||||
train_batch_size=4, |
||||
eval_dataset=eval_dataset, |
||||
save_interval_epochs=5, |
||||
# 每多少次迭代记录一次日志 |
||||
log_interval_steps=4, |
||||
save_dir=EXP_DIR, |
||||
pretrain_weights=None, |
||||
# 初始学习率大小 |
||||
learning_rate=0.001, |
||||
# 是否使用early stopping策略，当精度不再改善时提前终止训练 |
||||
early_stop=False, |
||||
# 是否启用VisualDL日志功能 |
||||
use_vdl=True, |
||||
# 指定从某个检查点继续训练 |
||||
resume_checkpoint=None) |
||||
Loading…
Reference in new issue