fix bug of import and update doc (#2642)

configs/datasets/dota.yml

@@ -5,16 +5,16 @@ TrainDataset:
   !COCODataSet
     image_dir: trainval_split/images
     anno_path: trainval_split/s2anet_trainval_paddle_coco.json
-    dataset_dir: /paddle/dataset/DOTA_1024_s2anet
+    dataset_dir: dataset/DOTA_1024_s2anet
     data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd', 'gt_rbox']
 
 EvalDataset:
   !COCODataSet
     image_dir: trainval_split/images
     anno_path: trainval_split/s2anet_trainval_paddle_coco.json
-    dataset_dir: /paddle/dataset/DOTA_1024_s2anet/
+    dataset_dir: dataset/DOTA_1024_s2anet/
 
 TestDataset:
   !ImageFolder
     anno_path: trainval_split/s2anet_trainval_paddle_coco.json
-    dataset_dir: /paddle/dataset/DOTA_1024_s2anet/
+    dataset_dir: dataset/DOTA_1024_s2anet/

configs/dota/README.md

@@ -54,11 +54,6 @@ DOTA数据集中总共有2806张图像，其中1411张图像作为训练集，45
 sudo nvidia-docker run -it --name paddle_s2anet -v $PWD:/paddle --network=host registry.baidubce.com/paddlepaddle/paddle:2.0.1-gpu-cuda10.1-cudnn7 /bin/bash
 ```
 
-进入容器后，安装必要的python包：
-```
-python3.7 -m pip install Cython wheel tqdm opencv-python==4.2.0.32 scipy  PyYAML shapely pycocotools
-```
-
 镜像中paddle2.0.1已安装好，进入python3.7，执行如下代码检查paddle安装是否正常：
 ```
 import paddle
@@ -66,7 +61,7 @@ print(paddle.__version__)
 paddle.utils.run_check()
 ```
 
-进入到`ext_op`文件夹，安装：
+进入到`ppdet/ext_op`文件夹，安装：
 ```
 python3.7 setup.py install
 ```
@@ -96,7 +91,7 @@ Paddle中`multiclass_nms`算子的输入支持四边形输入，因此部署时
 
 ```bash
 # 预测
-CUDA_VISIBLE_DEVICES=0 python tools/infer.py -c configs/dota/s2anet_1x_dota.yml -o weights=model.pdparams --infer_img=demo/P0072__1.0__0___0.png --use_gpu=True
+CUDA_VISIBLE_DEVICES=0 python tools/infer.py -c configs/dota/s2anet_1x_dota.yml -o weights=model.pdparams --infer_img=demo/P0072__1.0__0___0.png
 ```
 
 

ppdet/data/transform/batch_operators.py

@@ -27,6 +27,7 @@ from .operators import register_op, BaseOperator, Resize
 from .op_helper import jaccard_overlap, gaussian2D
 from scipy import ndimage
 
+from ppdet.modeling import bbox_utils
 from ppdet.utils.logger import setup_logger
 logger = setup_logger(__name__)
 

ppdet/data/transform/operators.py

@@ -39,6 +39,7 @@ from PIL import Image, ImageEnhance, ImageDraw
 
 from ppdet.core.workspace import serializable
 from ppdet.modeling.layers import AnchorGrid
+from ppdet.modeling import bbox_utils
 
 from .op_helper import (satisfy_sample_constraint, filter_and_process,
                         generate_sample_bbox, clip_bbox, data_anchor_sampling,