zhengpeng7 / csrnet-keras Goto Github PK

Using TensorFlow backend.
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AttributeError                            Traceback (most recent call last)
<ipython-input-4-977e988b1777> in <module>
      6 import numpy as np
      7 from tqdm import tqdm
**----> 8 from utils_gen import gen_density_map_gaussian**
      9 import matplotlib.pyplot as plt
     10 get_ipython().run_line_magic('matplotlib', 'inline')

~\3. CSRNet-Keras - ZhengPeng7 - An unofficial implementation of CSRNet for crowd counting in Keras-Tensorflow\utils_gen.py in <module>
      4 import scipy
      5 import numpy as np
----> 6 from keras.preprocessing.image import ImageDataGenerator
      7 from utils_imgproc import smallize_density_map, fix_singular_shape
      8 

~\anaconda3\envs\baseV2\lib\site-packages\keras\__init__.py in <module>
      1 from __future__ import absolute_import
      2 
----> 3 from . import utils
      4 from . import activations
      5 from . import applications

~\anaconda3\envs\baseV2\lib\site-packages\keras\utils\__init__.py in <module>
      4 from . import data_utils
      5 from . import io_utils
----> 6 from . import conv_utils
      7 from . import losses_utils
      8 from . import metrics_utils

~\anaconda3\envs\baseV2\lib\site-packages\keras\utils\conv_utils.py in <module>
      7 from six.moves import range
      8 import numpy as np
----> 9 from .. import backend as K
     10 
     11 

~\anaconda3\envs\baseV2\lib\site-packages\keras\backend\__init__.py in <module>
----> 1 from .load_backend import epsilon
      2 from .load_backend import set_epsilon
      3 from .load_backend import floatx
      4 from .load_backend import set_floatx
      5 from .load_backend import cast_to_floatx

~\anaconda3\envs\baseV2\lib\site-packages\keras\backend\load_backend.py in <module>
     88 elif _BACKEND == 'tensorflow':
     89     sys.stderr.write('Using TensorFlow backend.\n')
---> 90     from .tensorflow_backend import *
     91 else:
     92     # Try and load external backend.

~\anaconda3\envs\baseV2\lib\site-packages\keras\backend\tensorflow_backend.py in <module>
     10 from tensorflow.python.ops import math_ops as tf_math_ops
     11 from tensorflow.python.ops import state_ops as tf_state_ops
---> 12 from tensorflow.python.keras import backend as tf_keras_backend
     13 from tensorflow.python.keras.utils import tf_utils
     14 from tensorflow.python.ops import functional_ops

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\__init__.py in <module>
     25 
     26 # See b/110718070#comment18 for more details about this import.
---> 27 from tensorflow.python.keras import models
     28 
     29 from tensorflow.python.keras.engine.input_layer import Input

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\models.py in <module>
     24 from tensorflow.python.keras import optimizers
     25 from tensorflow.python.keras.engine import network
---> 26 from tensorflow.python.keras.engine import sequential
     27 from tensorflow.python.keras.engine import training
     28 from tensorflow.python.keras.engine.base_layer import AddMetric

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\engine\sequential.py in <module>
     26 from tensorflow.python.keras.engine import base_layer_utils
     27 from tensorflow.python.keras.engine import input_layer
---> 28 from tensorflow.python.keras.engine import training
     29 from tensorflow.python.keras.engine import training_utils
     30 from tensorflow.python.keras.saving.saved_model import model_serialization

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\engine\training.py in <module>
     49 from tensorflow.python.keras.engine import training_generator
     50 from tensorflow.python.keras.engine import training_utils
---> 51 from tensorflow.python.keras.engine import training_v2
     52 from tensorflow.python.keras.engine import training_v2_utils
     53 from tensorflow.python.keras.mixed_precision.experimental import loss_scale_optimizer

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py in <module>
     33 from tensorflow.python.keras import callbacks as cbks
     34 from tensorflow.python.keras.distribute import distributed_training_utils as dist_utils
---> 35 from tensorflow.python.keras.engine import data_adapter
     36 from tensorflow.python.keras.engine import training_utils
     37 from tensorflow.python.keras.engine import training_v2_utils

~\anaconda3\envs\baseV2\lib\site-packages\tensorflow_core\python\keras\engine\data_adapter.py in <module>
     48 
     49 try:
---> 50   import pandas as pd  # pylint: disable=g-import-not-at-top
     51 except ImportError:
     52   pd = None

~\anaconda3\envs\baseV2\lib\site-packages\pandas\__init__.py in <module>
    191 # GH 27101
    192 # TODO: remove Panel compat in 1.0
**--> 193 if pandas.compat.PY37:**
    194 
    195     def __getattr__(name):

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error                                     Traceback (most recent call last)
<ipython-input-28-d8d829185e35> in <module>
     22 )
     23 # Generate raw images(normalized by imagenet rgb) and density maps
---> 24 test_x, test_y = gen_var_from_paths(test_img_paths[:], unit_len=None), gen_var_from_paths(test_dm_paths[:], stride=8, unit_len=None)
     25 test_x = norm_by_imagenet(test_x)  # Normalization on raw images in test set, those of training set are in image_preprocessing below.
     26 print('Test data size:', test_x.shape[0], test_y.shape[0], len(test_img_paths))

~\3. CSRNet-Keras - ZhengPeng7 - An unofficial implementation of CSRNet for crowd counting in Keras-Tensorflow\utils_gen.py in gen_var_from_paths(paths, stride, unit_len)
     41     elif format_suffix == 'jpg':
     42         for ph in paths:
---> 43             raw = cv2.cvtColor(cv2.imread(ph), cv2.COLOR_BGR2RGB).astype(np.float32)
     44             if unit_len:
     45                 raw = fix_singular_shape(raw, unit_len=unit_len)