add ppyoloeplus visdrone (#6863)

configs/visdrone/README.md

@@ -17,6 +17,7 @@ PaddleDetection团队提供了针对VisDrone-DET小目标数航拍场景的基
 |PP-YOLOE-P2-Alpha-l|  30.1  |  48.9  |  24.3  |  40.8   |  28.47   |  48.16  | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_p2_alpha_80e_visdrone.pdparams) | [配置文件](./ppyoloe_crn_l_p2_alpha_80e_visdrone.yml) |
 |PP-YOLOE-Alpha-largesize-l|  41.9  |  65.0 |  32.3  |  53.0   |  37.13   |  61.15  | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_alpha_largesize_80e_visdrone.pdparams) | [配置文件](./ppyoloe_crn_l_alpha_largesize_80e_visdrone.yml) |
 |PP-YOLOE-P2-Alpha-largesize-l|  41.3  |  64.5  |  32.4  |  53.1   |  37.49   |  51.54  | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_p2_alpha_largesize_80e_visdrone.pdparams) | [配置文件](./ppyoloe_crn_l_p2_alpha_largesize_80e_visdrone.yml) |
+|PP-YOLOE-plus-largesize-l |  43.3  |  66.7 |  33.5  |  54.7   |  38.24   |  62.76  | [下载链接](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_largesize_80e_visdrone.pdparams) | [配置文件](./ppyoloe_plus_crn_l_largesize_80e_visdrone.yml) |
 
 
 ## 原图评估和拼图评估对比：

configs/visdrone/ppyoloe_plus_crn_l_largesize_80e_visdrone.yml

+_BASE_: [
+  'ppyoloe_crn_l_80e_visdrone.yml',
+]
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_plus_crn_l_largesize_80e_visdrone/model_final
+pretrain_weights: https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams
+
+
+CSPResNet:
+  use_alpha: True
+
+
+LearningRate:
+  base_lr: 0.0025
+
+
+worker_num: 2
+eval_height: &eval_height 1920
+eval_width: &eval_width 1920
+eval_size: &eval_size [*eval_height, *eval_width]
+
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600, 1664, 1728, 1792, 1856, 1920], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 2
+  shuffle: true
+  drop_last: true
+  use_shared_memory: true
+  collate_batch: true
+
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+
+TestReader:
+  inputs_def:
+    image_shape: [3, *eval_height, *eval_width]
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+  fuse_normalize: True

deploy/python/infer.py

@@ -235,7 +235,7 @@ class Detector(object):
             import sahi
             from sahi.slicing import slice_image
         except Exception as e:
-            logger.error(
+            print(
                 'sahi not found, plaese install sahi. '
                 'for example: `pip install sahi`, see https://github.com/obss/sahi.'
             )
@@ -251,6 +251,7 @@ class Detector(object):
                 overlap_width_ratio=overlap_ratio[1])
             sub_img_num = len(slice_image_result)
             merged_bboxs = []
+            print('sub_img_num', sub_img_num)
 
             batch_image_list = [
                 slice_image_result.images[_ind] for _ind in range(sub_img_num)

deploy/python/visualize.py

@@ -237,7 +237,7 @@ def visualize_pose(imgfile,
         import matplotlib
         plt.switch_backend('agg')
     except Exception as e:
-        logger.error('Matplotlib not found, please install matplotlib.'
+        print('Matplotlib not found, please install matplotlib.'
               'for example: `pip install matplotlib`.')
         raise e
     skeletons, scores = results['keypoint']

ppdet/data/source/dataset.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 
 import os
+import copy
 import numpy as np
-
 try:
     from collections.abc import Sequence
 except Exception:
@@ -22,9 +22,11 @@ except Exception:
 from paddle.io import Dataset
 from ppdet.core.workspace import register, serializable
 from ppdet.utils.download import get_dataset_path
-import copy
 from ppdet.data import source
 
+from ppdet.utils.logger import setup_logger
+logger = setup_logger(__name__)
+
 
 @serializable
 class DetDataset(Dataset):