Using ImageAI I get => AttributeError: module 'tensorflow' has no attribute 'to_float'
Using ImageAI I get => AttributeError: module 'tensorflow' has no attribute 'to_float'
我想按照本教程 (https://medium.com/deepquestai/train-object-detection-ai-with-6-lines-of-code-6d087063f6ff). However I receive an error message, which I cannot resolve. What can I do about it, given that I cannot change the source code from imageai and therefore not fix the error this way (https://github.com/google/tangent/issues/95) 检测图像中的对象？
这些是我的进口商品：
!pip3 install tensorflow-gpu==1.13.1
!pip install imageai --upgrade
from imageai.Detection.Custom import DetectionModelTrainer
我运行这个代码：
data_path = 'leaf-images-with-pascal-voc-annotations/'
trainer = DetectionModelTrainer()
trainer.setModelTypeAsYOLOv3()
trainer.setDataDirectory(data_directory=data_path)
trainer.setTrainConfig(object_names_array=['leaf'], batch_size=16, num_experiments=100,
train_from_pretrained_model="pretrained-yolov3.h5")
trainer.trainModel()
我试过使用不同版本的tensorflow
但是收到此错误消息：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-28-d42b2127d681> in <module>
6 trainer.setTrainConfig(object_names_array=['leaf'], batch_size=16, num_experiments=100,
7 train_from_pretrained_model="pretrained-yolov3.h5")
----> 8 trainer.trainModel()
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/__init__.py in trainModel(self)
272 noobj_scale=self.__train_noobj_scale,
273 xywh_scale=self.__train_xywh_scale,
--> 274 class_scale=self.__train_class_scale,
275 )
276
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/__init__.py in _create_model(self, nb_class, anchors, max_box_per_image, max_grid, batch_size, warmup_batches, ignore_thresh, multi_gpu, lr, grid_scales, obj_scale, noobj_scale, xywh_scale, class_scale)
551 noobj_scale=noobj_scale,
552 xywh_scale=xywh_scale,
--> 553 class_scale=class_scale
554 )
555 else:
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/yolo.py in create_yolov3_model(nb_class, anchors, max_box_per_image, max_grid, batch_size, warmup_batches, ignore_thresh, grid_scales, obj_scale, noobj_scale, xywh_scale, class_scale)
292 noobj_scale,
293 xywh_scale,
--> 294 class_scale)([input_image, pred_yolo_1, true_yolo_1, true_boxes])
295
296 # Layer 83 => 86
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/yolo.py in __init__(self, anchors, max_grid, batch_size, warmup_batches, ignore_thresh, grid_scale, obj_scale, noobj_scale, xywh_scale, class_scale, **kwargs)
22 max_grid_h, max_grid_w = max_grid
23
---> 24 cell_x = tf.to_float(tf.reshape(tf.tile(tf.range(max_grid_w), [max_grid_h]), (1, max_grid_h, max_grid_w, 1, 1)))
25 cell_y = tf.transpose(cell_x, (0,2,1,3,4))
26 self.cell_grid = tf.tile(tf.concat([cell_x,cell_y],-1), [batch_size, 1, 1, 3, 1])
AttributeError: module 'tensorflow' has no attribute 'to_float'
ImageAI 库似乎存在当前未修复的状态，它与最新版本的 tensorflow 等不兼容
使用这些版本对我有用：
#Currently I found these to work together:
pip install opencv-python==4.1.2.30
pip install keras==2.3.1
pip install tensorflow==1.14.0
pip install tensorflow-gpu==1.14.0
pip install imageai --upgrade
NOTE: using imageai == 2.1.5
我在 2.3.0
版本中尝试使用 to_float 方法时也遇到了同样的错误
看来，这个方法已经在新版本的库中被删除了。
为了让它工作，我更改了我的代码以使用 cast 方法而不是 to_float.
下面是对我有用的示例代码
num=5
#as_float = tf.to_float(num)
#Change the above code line and use cast method instead
as_float=tf.cast(num, tf.float32)
as_float
我想按照本教程 (https://medium.com/deepquestai/train-object-detection-ai-with-6-lines-of-code-6d087063f6ff). However I receive an error message, which I cannot resolve. What can I do about it, given that I cannot change the source code from imageai and therefore not fix the error this way (https://github.com/google/tangent/issues/95) 检测图像中的对象？
这些是我的进口商品：
!pip3 install tensorflow-gpu==1.13.1
!pip install imageai --upgrade
from imageai.Detection.Custom import DetectionModelTrainer
我运行这个代码：
data_path = 'leaf-images-with-pascal-voc-annotations/'
trainer = DetectionModelTrainer()
trainer.setModelTypeAsYOLOv3()
trainer.setDataDirectory(data_directory=data_path)
trainer.setTrainConfig(object_names_array=['leaf'], batch_size=16, num_experiments=100,
train_from_pretrained_model="pretrained-yolov3.h5")
trainer.trainModel()
我试过使用不同版本的tensorflow 但是收到此错误消息：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-28-d42b2127d681> in <module>
6 trainer.setTrainConfig(object_names_array=['leaf'], batch_size=16, num_experiments=100,
7 train_from_pretrained_model="pretrained-yolov3.h5")
----> 8 trainer.trainModel()
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/__init__.py in trainModel(self)
272 noobj_scale=self.__train_noobj_scale,
273 xywh_scale=self.__train_xywh_scale,
--> 274 class_scale=self.__train_class_scale,
275 )
276
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/__init__.py in _create_model(self, nb_class, anchors, max_box_per_image, max_grid, batch_size, warmup_batches, ignore_thresh, multi_gpu, lr, grid_scales, obj_scale, noobj_scale, xywh_scale, class_scale)
551 noobj_scale=noobj_scale,
552 xywh_scale=xywh_scale,
--> 553 class_scale=class_scale
554 )
555 else:
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/yolo.py in create_yolov3_model(nb_class, anchors, max_box_per_image, max_grid, batch_size, warmup_batches, ignore_thresh, grid_scales, obj_scale, noobj_scale, xywh_scale, class_scale)
292 noobj_scale,
293 xywh_scale,
--> 294 class_scale)([input_image, pred_yolo_1, true_yolo_1, true_boxes])
295
296 # Layer 83 => 86
/opt/conda/lib/python3.6/site-packages/imageai/Detection/Custom/yolo.py in __init__(self, anchors, max_grid, batch_size, warmup_batches, ignore_thresh, grid_scale, obj_scale, noobj_scale, xywh_scale, class_scale, **kwargs)
22 max_grid_h, max_grid_w = max_grid
23
---> 24 cell_x = tf.to_float(tf.reshape(tf.tile(tf.range(max_grid_w), [max_grid_h]), (1, max_grid_h, max_grid_w, 1, 1)))
25 cell_y = tf.transpose(cell_x, (0,2,1,3,4))
26 self.cell_grid = tf.tile(tf.concat([cell_x,cell_y],-1), [batch_size, 1, 1, 3, 1])
AttributeError: module 'tensorflow' has no attribute 'to_float'
ImageAI 库似乎存在当前未修复的状态，它与最新版本的 tensorflow 等不兼容
使用这些版本对我有用：
#Currently I found these to work together:
pip install opencv-python==4.1.2.30
pip install keras==2.3.1
pip install tensorflow==1.14.0
pip install tensorflow-gpu==1.14.0
pip install imageai --upgrade
NOTE: using imageai == 2.1.5
我在 2.3.0
版本中尝试使用 to_float 方法时也遇到了同样的错误看来，这个方法已经在新版本的库中被删除了。
为了让它工作，我更改了我的代码以使用 cast 方法而不是 to_float.
下面是对我有用的示例代码
num=5
#as_float = tf.to_float(num)
#Change the above code line and use cast method instead
as_float=tf.cast(num, tf.float32)
as_float