Optimize imports (#3557)

Besides removing unnecessary imports, this also fixes the missing logger module in test_architectures.py within the static directory.

dataset/dota_coco/dota_generate_test_result.py

@@ -12,13 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import sys
 import os
-import os.path as osp
 import re
-import json
 import glob
-import cv2
+
 import numpy as np
 from multiprocessing import Pool
 from functools import partial
@@ -80,10 +77,10 @@ def py_cpu_nms_poly_fast(dets, thresh):
 
     polys = []
     for i in range(len(dets)):
-        tm_polygon = [dets[i][0], dets[i][1],
-                        dets[i][2], dets[i][3],
-                        dets[i][4], dets[i][5],
-                        dets[i][6], dets[i][7]]
+        tm_polygon = [
+            dets[i][0], dets[i][1], dets[i][2], dets[i][3], dets[i][4],
+            dets[i][5], dets[i][6], dets[i][7]
+        ]
         polys.append(tm_polygon)
     polys = np.array(polys)
     order = scores.argsort()[::-1]
@@ -124,7 +121,7 @@ def py_cpu_nms_poly_fast(dets, thresh):
 
 def poly2origpoly(poly, x, y, rate):
     origpoly = []
-    for i in range(int(len(poly)/2)):
+    for i in range(int(len(poly) / 2)):
         tmp_x = float(poly[i * 2] + x) / float(rate)
         tmp_y = float(poly[i * 2 + 1] + y) / float(rate)
         origpoly.append(tmp_x)
@@ -196,11 +193,14 @@ def merge_single(output_dir, nms, pred_class_lst):
             for det in nameboxnmsdict[imgname]:
                 confidence = det[-1]
                 bbox = det[0:-1]
-                outline = imgname + ' ' + str(confidence) + ' ' + ' '.join(map(str, bbox))
+                outline = imgname + ' ' + str(confidence) + ' ' + ' '.join(
+                    map(str, bbox))
                 f_out.write(outline + '\n')
 
 
-def dota_generate_test_result(pred_txt_dir, output_dir='output', dota_version='v1.0'):
+def dota_generate_test_result(pred_txt_dir,
+                              output_dir='output',
+                              dota_version='v1.0'):
     """
     pred_txt_dir: dir of pred txt
     output_dir: dir of output
@@ -228,7 +228,8 @@ def dota_generate_test_result(pred_txt_dir, output_dir='output', dota_version='v
 
     pred_classes_lst = []
     for class_name in pred_classes.keys():
-        print('class_name: {}, count: {}'.format(class_name, len(pred_classes[class_name])))
+        print('class_name: {}, count: {}'.format(class_name,
+                                                 len(pred_classes[class_name])))
         pred_classes_lst.append((class_name, pred_classes[class_name]))
 
     # step2: merge
@@ -241,7 +242,8 @@ def dota_generate_test_result(pred_txt_dir, output_dir='output', dota_version='v
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='dota anno to coco')
     parser.add_argument('--pred_txt_dir', help='path of pred txt dir')
-    parser.add_argument('--output_dir', help='path of output dir', default='output')
+    parser.add_argument(
+        '--output_dir', help='path of output dir', default='output')
     parser.add_argument(
         '--dota_version',
         help='dota_version, v1.0 or v1.5 or v2.0',
@@ -251,5 +253,6 @@ if __name__ == '__main__':
     args = parser.parse_args()
 
     # process
-    dota_generate_test_result(args.pred_txt_dir, args.output_dir, args.dota_version)
+    dota_generate_test_result(args.pred_txt_dir, args.output_dir,
+                              args.dota_version)
     print('done!')

dataset/dota_coco/dota_to_coco.py

@@ -17,9 +17,6 @@ import os.path as osp
 import json
 import glob
 import cv2
-import numpy as np
-from PIL import Image
-import logging
 import argparse
 
 # add python path of PadleDetection to sys.path

deploy/benchmark/log_parser_excel.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import os
-import sys
 import re
 import argparse
 import pandas as pd

deploy/python/benchmark_utils.py

@@ -12,9 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import argparse
 import os
-import time
 import logging
 
 import paddle

deploy/python/infer.py

@@ -13,12 +13,10 @@
 # limitations under the License.
 
 import os
-import time
 import yaml
 import glob
 from functools import reduce
 
-from PIL import Image
 import cv2
 import numpy as np
 import math

deploy/python/keypoint_det_unite_infer.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 import os
-from PIL import Image
+
 import cv2
 import numpy as np
 import paddle

deploy/python/keypoint_infer.py

@@ -13,17 +13,12 @@
 # limitations under the License.
 
 import os
-import time
 import yaml
-import glob
-from functools import reduce
 
-from PIL import Image
 import cv2
 import numpy as np
 import paddle
-from preprocess import preprocess, NormalizeImage, Permute
-from keypoint_preprocess import EvalAffine, TopDownEvalAffine
+from preprocess import preprocess
 from keypoint_postprocess import HrHRNetPostProcess, HRNetPostProcess
 from keypoint_visualize import draw_pose
 from paddle.inference import Config

deploy/python/keypoint_postprocess.py

@@ -13,11 +13,9 @@
 # limitations under the License.
 
 from scipy.optimize import linear_sum_assignment
-from collections import abc, defaultdict
+from collections import defaultdict
 import numpy as np
 import math
-import paddle
-import paddle.nn as nn
 from keypoint_preprocess import get_affine_mat_kernel, get_affine_transform
 
 

deploy/python/preprocess.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from PIL import Image
 import cv2
 import numpy as np
 

deploy/python/visualize.py

@@ -18,7 +18,6 @@ from __future__ import division
 import cv2
 import numpy as np
 from PIL import Image, ImageDraw
-from scipy import ndimage
 
 
 def visualize_box_mask(im, results, labels, threshold=0.5):

docs/tutorials/FAQ.md

@@ -25,9 +25,9 @@
 
 * PaddleDetection中提供的默认配置一般是采用8卡训练的配置，配置文件中的`batch_size`数为每卡的batch size，若训练的时候不是使用8卡或者对`batch_size`有修改，需要等比例的调小初始`learning_rate`来获得较好的收敛效果
 
-* 如果使用自定义数据集并且样本数比较少，建议增大`snapshot_epoch`数来增加第一次进行eval的时候的训练轮数来保证模型已经较好收敛 
+* 如果使用自定义数据集并且样本数比较少，建议增大`snapshot_epoch`数来增加第一次进行eval的时候的训练轮数来保证模型已经较好收敛
 
-* 若使用自定义数据集训练，可以加载我们发布的COCO或VOC数据集上训练好的权重进行finetune训练来加快收敛速度，可以使用`-o pretrain_weights=xxx`的方式指定预训练权重，xxx可以是Model Zoo里发布的模型权重链接 
+* 若使用自定义数据集训练，可以加载我们发布的COCO或VOC数据集上训练好的权重进行finetune训练来加快收敛速度，可以使用`-o pretrain_weights=xxx`的方式指定预训练权重，xxx可以是Model Zoo里发布的模型权重链接
 
 
 
@@ -93,4 +93,4 @@ https://github.com/PaddlePaddle/PaddleDetection/blob/b87a1ea86fa18ce69e44a17ad1b
 TestDataset:
   !ImageFolder
     anno_path: annotations/instances_val2017.json
-```
\ No newline at end of file
+```

ppdet/core/workspace.py

@@ -21,7 +21,6 @@ import os
 import sys
 
 import yaml
-import copy
 import collections
 
 try:

ppdet/data/reader.py

@@ -13,21 +13,20 @@
 # limitations under the License.
 
 import os
-import copy
 import traceback
 import six
 import sys
-import multiprocessing as mp
+
 if sys.version_info >= (3, 0):
-    import queue as Queue
+    pass
 else:
-    import Queue
+    pass
 import numpy as np
 
 from paddle.io import DataLoader, DistributedBatchSampler
 from paddle.fluid.dataloader.collate import default_collate_fn
 
-from ppdet.core.workspace import register, serializable, create
+from ppdet.core.workspace import register
 from . import transform
 from .shm_utils import _get_shared_memory_size_in_M
 

ppdet/data/source/dataset.py

@@ -14,7 +14,7 @@
 
 import os
 import numpy as np
-from collections import OrderedDict
+
 try:
     from collections.abc import Sequence
 except Exception:

ppdet/data/transform/autoaugment_utils.py

@@ -23,8 +23,6 @@ import inspect
 import math
 from PIL import Image, ImageEnhance
 import numpy as np
-import os
-import sys
 import cv2
 from copy import deepcopy
 

ppdet/data/transform/keypoint_operators.py

@@ -27,7 +27,6 @@ import cv2
 import numpy as np
 import math
 import copy
-import os
 
 from ...modeling.keypoint_utils import get_affine_mat_kernel, warp_affine_joints, get_affine_transform, affine_transform
 from ppdet.core.workspace import serializable

ppdet/data/transform/mot_operators.py

@@ -31,7 +31,6 @@ import math
 from .operators import BaseOperator, register_op
 from .batch_operators import Gt2TTFTarget
 from ppdet.modeling.bbox_utils import bbox_iou_np_expand
-from ppdet.core.workspace import serializable
 from ppdet.utils.logger import setup_logger
 logger = setup_logger(__name__)
 

ppdet/data/transform/operators.py

@@ -35,17 +35,16 @@ import os
 import copy
 
 import cv2
-from PIL import Image, ImageEnhance, ImageDraw
+from PIL import Image, 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,
                         satisfy_sample_constraint_coverage, crop_image_sampling,
                         generate_sample_bbox_square, bbox_area_sampling,
-                        is_poly, gaussian_radius, draw_gaussian, transform_bbox)
+                        is_poly, transform_bbox)
 
 from ppdet.utils.logger import setup_logger
 logger = setup_logger(__name__)

ppdet/engine/callbacks.py

@@ -20,9 +20,7 @@ import os
 import sys
 import datetime
 import six
-import numpy as np
 
-import paddle
 import paddle.distributed as dist
 
 from ppdet.utils.checkpoint import save_model
@@ -217,7 +215,8 @@ class VisualDLWriter(Callback):
             logger.error('visualdl not found, plaese install visualdl. '
                          'for example: `pip install visualdl`.')
             raise e
-        self.vdl_writer = LogWriter(model.cfg.get('vdl_log_dir', 'vdl_log_dir/scalar'))
+        self.vdl_writer = LogWriter(
+            model.cfg.get('vdl_log_dir', 'vdl_log_dir/scalar'))
         self.vdl_loss_step = 0
         self.vdl_mAP_step = 0
         self.vdl_image_step = 0

ppdet/engine/tracker.py

@@ -23,16 +23,14 @@ import paddle
 import numpy as np
 
 from ppdet.core.workspace import create
-from ppdet.utils.checkpoint import load_weight, load_pretrain_weight
+from ppdet.utils.checkpoint import load_weight
 
 from ppdet.modeling.mot.utils import Timer, load_det_results
 from ppdet.modeling.mot import visualization as mot_vis
 
 from ppdet.metrics import Metric, MOTMetric
-import ppdet.utils.stats as stats
 
 from .callbacks import Callback, ComposeCallback
-from .export_utils import _dump_infer_config
 
 from ppdet.utils.logger import setup_logger
 logger = setup_logger(__name__)

ppdet/engine/trainer.py

@@ -17,11 +17,9 @@ from __future__ import division
 from __future__ import print_function
 
 import os
-import sys
 import copy
 import time
-import random
-import datetime
+
 import numpy as np
 from PIL import Image
 

ppdet/ext_op/setup.py

-from paddle.utils.cpp_extension import CppExtension, CUDAExtension, setup
+from paddle.utils.cpp_extension import CUDAExtension, setup
 
 if __name__ == "__main__":
     setup(

ppdet/ext_op/test.py

 import numpy as np
-import os
 import sys
-import cv2
 import time
-import shapely
 from shapely.geometry import Polygon
 import paddle
 

ppdet/metrics/coco_utils.py

@@ -150,7 +150,7 @@ def cocoapi_eval(jsonfile,
         results_flatten = list(itertools.chain(*results_per_category))
         headers = ['category', 'AP'] * (num_columns // 2)
         results_2d = itertools.zip_longest(
-            * [results_flatten[i::num_columns] for i in range(num_columns)])
+            *[results_flatten[i::num_columns] for i in range(num_columns)])
         table_data = [headers]
         table_data += [result for result in results_2d]
         table = AsciiTable(table_data)

ppdet/metrics/json_results.py

@@ -12,9 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import six
-import os
 import numpy as np
-import cv2
 
 
 def get_det_res(bboxes, bbox_nums, image_id, label_to_cat_id_map, bias=0):

ppdet/metrics/keypoint_metrics.py

@@ -12,10 +12,8 @@
 # See the License for the specific language governing permissions and   
 # limitations under the License.
 
-import copy
 import os
 import json
-from collections import OrderedDict
 from collections import defaultdict
 import numpy as np
 from pycocotools.coco import COCO

ppdet/metrics/mot_metrics.py

@@ -165,7 +165,6 @@ class MOTMetric(Metric):
 
     def accumulate(self):
         import motmetrics as mm
-        import openpyxl
         metrics = mm.metrics.motchallenge_metrics
         mh = mm.metrics.create()
         summary = self.MOTEvaluator.get_summary(self.accs, self.seqs, metrics)

ppdet/model_zoo/model_zoo.py

@@ -12,9 +12,7 @@
 # See the License for the specific language governing permissions and   
 # limitations under the License.
 
-import os
 import os.path as osp
-import glob
 import pkg_resources
 
 try:

ppdet/model_zoo/tests/test_get_model.py

@@ -21,7 +21,6 @@ import paddle
 import ppdet
 import unittest
 
-
 # NOTE: weights downloading costs time, we choose
 #       a small model for unittesting
 MODEL_NAME = 'ppyolo/ppyolo_tiny_650e_coco'

ppdet/modeling/architectures/centernet.py

@@ -16,7 +16,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import paddle
 from ppdet.core.workspace import register, create
 from .meta_arch import BaseArch
 

ppdet/modeling/architectures/meta_arch.py

@@ -2,7 +2,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import numpy as np
 import paddle
 import paddle.nn as nn
 from ppdet.core.workspace import register

ppdet/modeling/architectures/s2anet.py

@@ -19,7 +19,6 @@ from __future__ import print_function
 import paddle
 from ppdet.core.workspace import register, create
 from .meta_arch import BaseArch
-import numpy as np
 
 __all__ = ['S2ANet']
 

ppdet/modeling/backbones/blazenet.py

@@ -20,10 +20,8 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
-from paddle.regularizer import L2Decay
 from paddle.nn.initializer import KaimingNormal
 from ppdet.core.workspace import register, serializable
-from numbers import Integral
 from ..shape_spec import ShapeSpec
 
 __all__ = ['BlazeNet']

ppdet/modeling/backbones/darknet.py

@@ -15,8 +15,7 @@
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle import ParamAttr
-from paddle.regularizer import L2Decay
+
 from ppdet.core.workspace import register, serializable
 from ppdet.modeling.ops import batch_norm, mish
 from ..shape_spec import ShapeSpec

ppdet/modeling/backbones/ghostnet.py

@@ -17,9 +17,9 @@ import paddle
 from paddle import ParamAttr
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle.nn import Conv2D, BatchNorm, AdaptiveAvgPool2D, Linear
-from paddle.regularizer import L2Decay
-from paddle.nn.initializer import Uniform, KaimingNormal
+from paddle.nn import AdaptiveAvgPool2D, Linear
+from paddle.nn.initializer import Uniform
+
 from ppdet.core.workspace import register, serializable
 from numbers import Integral
 from ..shape_spec import ShapeSpec

ppdet/modeling/backbones/hrnet.py

@@ -21,7 +21,7 @@ from paddle.nn.initializer import Normal
 from numbers import Integral
 import math
 
-from ppdet.core.workspace import register, serializable
+from ppdet.core.workspace import register
 from ..shape_spec import ShapeSpec
 
 __all__ = ['HRNet']

ppdet/modeling/backbones/mobilenet_v1.py

@@ -16,7 +16,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr

ppdet/modeling/backbones/senet.py

@@ -12,9 +12,8 @@
 # See the License for the specific language governing permissions and   
 # limitations under the License.
 
-import paddle
 import paddle.nn as nn
-import paddle.nn.functional as F
+
 from ppdet.core.workspace import register, serializable
 from .resnet import ResNet, Blocks, BasicBlock, BottleNeck
 

ppdet/modeling/backbones/vgg.py

@@ -4,7 +4,6 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
-from paddle.regularizer import L2Decay
 from paddle.nn import Conv2D, MaxPool2D
 from ppdet.core.workspace import register, serializable
 from ..shape_spec import ShapeSpec

ppdet/modeling/bbox_utils.py

@@ -14,8 +14,6 @@
 
 import math
 import paddle
-import paddle.nn.functional as F
-import math
 import numpy as np
 
 

ppdet/modeling/heads/bbox_head.py

@@ -21,8 +21,6 @@ from paddle.nn.initializer import Normal, XavierUniform, KaimingNormal
 from paddle.regularizer import L2Decay
 
 from ppdet.core.workspace import register, create
-from ppdet.modeling import ops
-
 from .roi_extractor import RoIAlign
 from ..shape_spec import ShapeSpec
 from ..bbox_utils import bbox2delta

ppdet/modeling/heads/cascade_head.py

@@ -15,16 +15,13 @@
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle.nn.initializer import Normal, XavierUniform
-from paddle.regularizer import L2Decay
-
-from ppdet.core.workspace import register, create
-from ppdet.modeling import ops
+from paddle.nn.initializer import Normal
 
+from ppdet.core.workspace import register
 from .bbox_head import BBoxHead, TwoFCHead, XConvNormHead
 from .roi_extractor import RoIAlign
 from ..shape_spec import ShapeSpec
-from ..bbox_utils import bbox2delta, delta2bbox, clip_bbox, nonempty_bbox
+from ..bbox_utils import delta2bbox, clip_bbox, nonempty_bbox
 
 __all__ = ['CascadeTwoFCHead', 'CascadeXConvNormHead', 'CascadeHead']
 

ppdet/modeling/heads/centernet_head.py

@@ -12,12 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
 import math
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle import ParamAttr
 from paddle.nn.initializer import KaimingUniform
 from ppdet.core.workspace import register
 from ppdet.modeling.losses import CTFocalLoss

ppdet/modeling/heads/face_head.py

@@ -14,11 +14,8 @@
 
 import paddle
 import paddle.nn as nn
-import paddle.nn.functional as F
-from ppdet.core.workspace import register
-from paddle.regularizer import L2Decay
-from paddle import ParamAttr
 
+from ppdet.core.workspace import register
 from ..layers import AnchorGeneratorSSD
 
 

ppdet/modeling/heads/keypoint_hrhrnet_head.py

@@ -14,7 +14,7 @@
 
 import paddle
 import paddle.nn as nn
-import paddle.nn.functional as F
+
 from ppdet.core.workspace import register
 from .. import layers as L
 from ..backbones.hrnet import BasicBlock

ppdet/modeling/heads/mask_head.py

@@ -16,12 +16,9 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle.nn.initializer import KaimingNormal
-from paddle.regularizer import L2Decay
 
 from ppdet.core.workspace import register, create
-from ppdet.modeling import ops
 from ppdet.modeling.layers import ConvNormLayer
-
 from .roi_extractor import RoIAlign
 
 

ppdet/modeling/heads/s2anet_head.py

@@ -17,7 +17,6 @@ import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle.nn.initializer import Normal, Constant
 from ppdet.core.workspace import register
-from ppdet.modeling import bbox_utils
 from ppdet.modeling.proposal_generator.target_layer import RBoxAssigner
 import numpy as np
 

ppdet/modeling/heads/solov2_head.py

@@ -21,8 +21,7 @@ from paddle import ParamAttr
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle.nn.initializer import Normal, Constant
-
-from ppdet.modeling.layers import ConvNormLayer, MaskMatrixNMS
+from ppdet.modeling.layers import ConvNormLayer
 from ppdet.core.workspace import register
 
 from six.moves import zip

ppdet/modeling/heads/ttf_head.py

@@ -16,7 +16,7 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
-from paddle.nn.initializer import Constant, Uniform, Normal
+from paddle.nn.initializer import Constant, Normal
 from paddle.regularizer import L2Decay
 from ppdet.core.workspace import register
 from ppdet.modeling.layers import DeformableConvV2, LiteConv

ppdet/modeling/layers.py

@@ -21,7 +21,6 @@ import paddle
 import paddle.nn as nn
 from paddle import ParamAttr
 from paddle import to_tensor
-from paddle.nn import Conv2D, BatchNorm2D, GroupNorm
 import paddle.nn.functional as F
 from paddle.nn.initializer import Normal, Constant, XavierUniform
 from paddle.regularizer import L2Decay

ppdet/modeling/losses/ctfocal_loss.py

@@ -17,7 +17,7 @@ from __future__ import division
 from __future__ import print_function
 
 import paddle
-import paddle.nn.functional as F
+
 from ppdet.core.workspace import register, serializable
 
 __all__ = ['CTFocalLoss']

ppdet/modeling/losses/fcos_loss.py

@@ -15,7 +15,7 @@
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
-import numpy as np
+
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F

ppdet/modeling/losses/iou_aware_loss.py

@@ -16,11 +16,10 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import paddle
 import paddle.nn.functional as F
 from ppdet.core.workspace import register, serializable
 from .iou_loss import IouLoss
-from ..bbox_utils import xywh2xyxy, bbox_iou
+from ..bbox_utils import bbox_iou
 
 
 @register

ppdet/modeling/losses/iou_loss.py

@@ -19,9 +19,9 @@ from __future__ import print_function
 import numpy as np
 
 import paddle
-import paddle.nn.functional as F
+
 from ppdet.core.workspace import register, serializable
-from ..bbox_utils import xywh2xyxy, bbox_iou
+from ..bbox_utils import bbox_iou
 
 __all__ = ['IouLoss', 'GIoULoss', 'DIouLoss']
 

ppdet/modeling/losses/keypoint_loss.py

@@ -20,7 +20,7 @@ from itertools import cycle, islice
 from collections import abc
 import paddle
 import paddle.nn as nn
-import paddle.nn.functional as F
+
 from ppdet.core.workspace import register, serializable
 
 __all__ = ['HrHRNetLoss', 'KeyPointMSELoss']

ppdet/modeling/mot/tracker/base_sde_tracker.py

@@ -15,7 +15,6 @@
 This code is borrow from https://github.com/nwojke/deep_sort/blob/master/deep_sort/track.py
 """
 
-import numpy as np
 from ppdet.core.workspace import register, serializable
 
 __all__ = ['TrackState', 'Track']

ppdet/modeling/necks/blazeface_fpn.py

@@ -12,15 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
-import math
 import paddle
 import paddle.nn.functional as F
 from paddle import ParamAttr
 import paddle.nn as nn
 from paddle.nn.initializer import KaimingNormal
 from ppdet.core.workspace import register, serializable
-from ppdet.modeling.layers import ConvNormLayer
 from ..shape_spec import ShapeSpec
 
 __all__ = ['BlazeNeck']

ppdet/modeling/necks/centernet_fpn.py

@@ -15,8 +15,6 @@
 import numpy as np
 import math
 import paddle
-import paddle.nn.functional as F
-from paddle import ParamAttr
 import paddle.nn as nn
 from paddle.nn.initializer import KaimingUniform
 from ppdet.core.workspace import register, serializable

ppdet/modeling/necks/fpn.py

@@ -12,13 +12,11 @@
 # See the License for the specific language governing permissions and   
 # limitations under the License.
 
-import numpy as np
-import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
 from paddle.nn.initializer import XavierUniform
-from paddle.regularizer import L2Decay
+
 from ppdet.core.workspace import register, serializable
 from ppdet.modeling.layers import ConvNormLayer
 from ..shape_spec import ShapeSpec

ppdet/modeling/necks/hrfpn.py

@@ -16,8 +16,7 @@ import paddle
 import paddle.nn.functional as F
 from paddle import ParamAttr
 import paddle.nn as nn
-from paddle.regularizer import L2Decay
-from ppdet.core.workspace import register, serializable
+from ppdet.core.workspace import register
 from ..shape_spec import ShapeSpec
 
 __all__ = ['HRFPN']

ppdet/modeling/necks/ttf_fpn.py

@@ -17,7 +17,6 @@ import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
 from paddle.nn.initializer import Constant, Uniform, Normal, XavierUniform
-from paddle import ParamAttr
 from ppdet.core.workspace import register, serializable
 from paddle.regularizer import L2Decay
 from ppdet.modeling.layers import DeformableConvV2, ConvNormLayer, LiteConv

ppdet/modeling/necks/yolo_fpn.py

@@ -15,7 +15,6 @@
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle import ParamAttr
 from ppdet.core.workspace import register, serializable
 from ..backbones.darknet import ConvBNLayer
 from ..shape_spec import ShapeSpec

ppdet/modeling/ops.py

@@ -21,12 +21,7 @@ from paddle.regularizer import L2Decay
 from paddle.fluid.framework import Variable, in_dygraph_mode
 from paddle.fluid import core
 from paddle.fluid.layer_helper import LayerHelper
-from paddle.fluid.dygraph import layers
-from paddle.fluid.data_feeder import check_variable_and_dtype, check_type, check_dtype, convert_dtype
-import math
-import six
-import numpy as np
-from functools import reduce
+from paddle.fluid.data_feeder import check_variable_and_dtype, check_type, check_dtype
 
 __all__ = [
     'roi_pool',

ppdet/modeling/post_process.py

@@ -17,7 +17,7 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from ppdet.core.workspace import register
-from ppdet.modeling.bbox_utils import nonempty_bbox, rbox2poly, rbox2poly
+from ppdet.modeling.bbox_utils import nonempty_bbox, rbox2poly
 from ppdet.modeling.layers import TTFBox
 try:
     from collections.abc import Sequence

ppdet/modeling/proposal_generator/anchor_generator.py

@@ -12,15 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
 import math
 
 import paddle
 import paddle.nn as nn
-import paddle.nn.functional as F
 
 from ppdet.core.workspace import register
-from .. import ops
 
 
 @register

ppdet/modeling/proposal_generator/proposal_generator.py

@@ -12,11 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
-
 import paddle
-import paddle.nn as nn
-import paddle.nn.functional as F
 
 from ppdet.core.workspace import register, serializable
 from .. import ops

ppdet/modeling/proposal_generator/rpn_head.py

@@ -16,11 +16,8 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle.nn.initializer import Normal
-from paddle.regularizer import L2Decay
 
 from ppdet.core.workspace import register
-from ppdet.modeling import ops
-
 from .anchor_generator import AnchorGenerator
 from .target_layer import RPNTargetAssign
 from .proposal_generator import ProposalGenerator

ppdet/modeling/proposal_generator/target.py

@@ -12,12 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import six
-import math
 import numpy as np
 import paddle
 from ..bbox_utils import bbox2delta, bbox_overlaps
-import copy
 
 
 def rpn_anchor_target(anchors,

ppdet/modeling/reid/fairmot_embedding_head.py

@@ -17,7 +17,6 @@ import math
 import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
-from paddle import ParamAttr
 from paddle.nn.initializer import KaimingUniform, Uniform
 from ppdet.core.workspace import register
 from ppdet.modeling.heads.centernet_head import ConvLayer

ppdet/modeling/tests/test_base.py

@@ -16,7 +16,6 @@ from __future__ import print_function
 import unittest
 
 import contextlib
-import numpy as np
 
 import paddle
 import paddle.fluid as fluid

ppdet/modeling/tests/test_ops.py

@@ -24,7 +24,6 @@ import numpy as np
 
 import paddle
 import paddle.fluid as fluid
-from paddle.fluid.framework import Program, program_guard
 from paddle.fluid.dygraph import base
 
 import ppdet.modeling.ops as ops

ppdet/modeling/tests/test_yolov3_loss.py

@@ -15,13 +15,9 @@
 from __future__ import division
 
 import unittest
-import numpy as np
-from scipy.special import logit
-from scipy.special import expit
 
 import paddle
 from paddle import fluid
-from paddle.fluid import core
 # add python path of PadleDetection to sys.path
 import os
 import sys
@@ -31,7 +27,6 @@ if parent_path not in sys.path:
 
 from ppdet.modeling.losses import YOLOv3Loss
 from ppdet.data.transform.op_helper import jaccard_overlap
-import random
 import numpy as np
 
 

ppdet/optimizer.py

@@ -17,14 +17,11 @@ from __future__ import division
 from __future__ import print_function
 
 import math
-import copy
 import paddle
 import paddle.nn as nn
 
 import paddle.optimizer as optimizer
-from paddle.optimizer.lr import CosineAnnealingDecay
 import paddle.regularizer as regularizer
-from paddle import cos
 
 from ppdet.core.workspace import register, serializable
 

ppdet/slim/distill.py

@@ -20,12 +20,11 @@ import paddle
 import paddle.nn as nn
 import paddle.nn.functional as F
 
-from ppdet.core.workspace import register, serializable, load_config
-from ppdet.core.workspace import create
-from ppdet.utils.logger import setup_logger
+from ppdet.core.workspace import register, create, load_config
 from ppdet.modeling import ops
 from ppdet.utils.checkpoint import load_pretrain_weight
-from ppdet.modeling.losses import YOLOv3Loss
+from ppdet.utils.logger import setup_logger
+
 logger = setup_logger(__name__)
 
 

ppdet/slim/quant.py

@@ -16,7 +16,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import paddle
 from paddle.utils import try_import
 
 from ppdet.core.workspace import register, serializable

ppdet/utils/checkpoint.py

@@ -20,8 +20,7 @@ from __future__ import unicode_literals
 import errno
 import os
 import time
-import re
-import numpy as np
+
 import paddle
 import paddle.nn as nn
 from .download import get_weights_path

ppdet/utils/download.py

@@ -29,10 +29,10 @@ import binascii
 import tarfile
 import zipfile
 
-from .voc_utils import create_list
 from ppdet.core.workspace import BASE_KEY
-
 from .logger import setup_logger
+from .voc_utils import create_list
+
 logger = setup_logger(__name__)
 
 __all__ = [
@@ -350,7 +350,6 @@ def _download(url, path, md5sum=None):
 
         logger.info("Downloading {} from {}".format(fname, url))
 
-        
         # NOTE: windows path join may incur \, which is invalid in url
         if sys.platform == "win32":
             url = url.replace('\\', '/')

ppdet/utils/logger.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import functools
 import logging
 import os
 import sys

ppdet/utils/stats.py

@@ -14,7 +14,6 @@
 
 import collections
 import numpy as np
-import datetime
 
 __all__ = ['SmoothedValue', 'TrainingStats']
 

ppdet/utils/visualizer.py

@@ -20,7 +20,6 @@ from __future__ import unicode_literals
 import numpy as np
 from PIL import Image, ImageDraw
 import cv2
-import os
 import math
 
 from .colormap import colormap

ppdet/utils/voc_utils.py

@@ -20,7 +20,6 @@ import os
 import os.path as osp
 import re
 import random
-import shutil
 
 __all__ = ['create_list']
 

setup.py

@@ -12,10 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import os.path as osp
 import glob
-import shutil
+
 from setuptools import find_packages, setup
 
 

static/application/christmas/blazeface/module.py

@@ -15,10 +15,9 @@
 import os
 import time
 from functools import reduce
-import base64
 import cv2
 import numpy as np
-from paddlehub.module.module import moduleinfo, serving
+from paddlehub.module.module import moduleinfo
 
 import blazeface.data_feed as D
 

static/application/christmas/solov2/module.py

@@ -15,11 +15,9 @@
 import os
 import time
 from functools import reduce
-import base64
 import cv2
 import numpy as np
-from paddlehub.module.module import moduleinfo, serving
-
+from paddlehub.module.module import moduleinfo
 import solov2.processor as P
 import solov2.data_feed as D
 

static/application/christmas/solov2_blazeface/face_makeup_main.py

@@ -13,10 +13,8 @@
 # limitations under the License.
 import os
 import cv2
-import json
 import math
 import numpy as np
-import argparse
 
 HAT_SCALES = {
     '1.png': [3.0, 0.9, .0],

static/application/christmas/solov2_blazeface/module.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import os
-import time
 import base64
 import json
 
@@ -21,8 +20,7 @@ import cv2
 import numpy as np
 import paddle.nn as nn
 import paddlehub as hub
-from paddlehub.module.module import moduleinfo, serving, Module
-
+from paddlehub.module.module import moduleinfo, serving
 import solov2_blazeface.processor as P
 
 

static/application/christmas/solov2_blazeface/processor.py

@@ -16,7 +16,7 @@ from __future__ import division
 
 import cv2
 import numpy as np
-from PIL import Image, ImageDraw
+from PIL import Image
 import solov2_blazeface.face_makeup_main as face_makeup_main
 
 

static/application/christmas/test_main.py

@@ -12,12 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import paddle
 import paddlehub as hub
 import cv2
-from PIL import Image
-import numpy as np
-import base64
 
 img_file = 'demo_images/test.jpg'
 background = 'element_source/background/1.png'

static/deploy/python/infer.py

@@ -16,7 +16,9 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import os, sys
+import os
+import sys
+
 # add python path of PadleDetection to sys.path
 parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 3)))
 if parent_path not in sys.path:
@@ -28,12 +30,11 @@ import yaml
 import ast
 from functools import reduce
 
-from PIL import Image
 import cv2
 import numpy as np
 import paddle
 import paddle.fluid as fluid
-from preprocess import preprocess, Resize, Normalize, Permute, PadStride
+from preprocess import preprocess
 from visualize import visualize_box_mask, lmk2out
 
 # Global dictionary
@@ -506,7 +507,7 @@ def predict_video(detector, camera_id):
     fps = 30
     width = int(capture.get(cv2.CAP_PROP_FRAME_WIDTH))
     height = int(capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
-    fourcc = cv2.VideoWriter_fourcc(* 'mp4v')
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
     if not os.path.exists(FLAGS.output_dir):
         os.makedirs(FLAGS.output_dir)
     out_path = os.path.join(FLAGS.output_dir, video_name)

static/deploy/python/visualize.py

@@ -18,7 +18,6 @@ from __future__ import division
 import cv2
 import numpy as np
 from PIL import Image, ImageDraw
-from scipy import ndimage
 
 
 def visualize_box_mask(im, results, labels, mask_resolution=14, threshold=0.5):

static/docs/conf.py

@@ -18,11 +18,6 @@
 #
 import os
 import sys
-# sys.path.insert(0, os.path.abspath('.'))
-
-import sphinx_rtd_theme
-from recommonmark.parser import CommonMarkParser
-from recommonmark.transform import AutoStructify
 
 sys.path.insert(0, os.path.abspath(".."))
 sys.path.insert(0, os.path.abspath("../../"))

static/ppdet/data/parallel_map.py

@@ -31,7 +31,6 @@ import uuid
 import logging
 import signal
 import threading
-import traceback
 
 logger = logging.getLogger(__name__)
 

static/ppdet/data/shared_queue/queue.py

@@ -17,7 +17,6 @@ from __future__ import division
 from __future__ import print_function
 from __future__ import unicode_literals
 
-import sys
 import six
 if six.PY3:
     import pickle

static/ppdet/data/shared_queue/sharedmemory.py

@@ -24,7 +24,6 @@ import os
 import time
 import math
 import struct
-import sys
 import six
 
 if six.PY3:
@@ -32,7 +31,6 @@ if six.PY3:
 else:
     import cPickle as pickle
 
-import json
 import uuid
 import random
 import numpy as np

static/ppdet/data/transform/autoaugment_utils.py

@@ -23,8 +23,6 @@ import inspect
 import math
 from PIL import Image, ImageEnhance
 import numpy as np
-import os
-import sys
 import cv2
 from copy import deepcopy
 

static/ppdet/modeling/anchor_heads/fcos_head.py

@@ -20,8 +20,8 @@ import math
 
 import paddle.fluid as fluid
 from paddle.fluid.param_attr import ParamAttr
-from paddle.fluid.initializer import Normal, Constant, NumpyArrayInitializer
-from paddle.fluid.regularizer import L2Decay
+from paddle.fluid.initializer import Normal, Constant
+
 from ppdet.modeling.ops import ConvNorm, DeformConvNorm
 from ppdet.modeling.ops import MultiClassNMS
 

static/ppdet/modeling/anchor_heads/solov2_head.py

@@ -19,7 +19,6 @@ from __future__ import print_function
 import paddle
 from paddle import fluid
 from paddle.fluid.param_attr import ParamAttr
-from paddle.fluid.regularizer import L2Decay
 
 from ppdet.modeling.ops import ConvNorm, DeformConvNorm, MaskMatrixNMS, DropBlock
 from ppdet.core.workspace import register

static/ppdet/modeling/anchor_heads/ttf_head.py

@@ -25,7 +25,6 @@ from paddle.fluid.initializer import Normal, Constant, Uniform, Xavier
 from paddle.fluid.regularizer import L2Decay
 from ppdet.core.workspace import register
 from ppdet.modeling.ops import DeformConv, DropBlock, ConvNorm
-from ppdet.modeling.losses import GiouLoss
 
 __all__ = ['TTFHead', 'TTFLiteHead']
 

static/ppdet/modeling/anchor_heads/yolo_head.py

@@ -22,8 +22,7 @@ from paddle import fluid
 from paddle.fluid.param_attr import ParamAttr
 from paddle.fluid.regularizer import L2Decay
 
-from ppdet.modeling.ops import MultiClassNMS, MultiClassSoftNMS, MatrixNMS
-from ppdet.modeling.losses.yolo_loss import YOLOv3Loss
+from ppdet.modeling.ops import MultiClassNMS, MultiClassSoftNMS
 from ppdet.core.workspace import register
 from ppdet.modeling.ops import DropBlock
 from .iou_aware import get_iou_aware_score

static/ppdet/modeling/architectures/blazeface.py

@@ -16,7 +16,6 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import numpy as np
 from collections import OrderedDict
 
 from paddle import fluid