Comments (1)
Hi,I'm new to learn Deep Learning.Some problems occured to me while traing.Can anybody tell me the reason or some ideas.Thanks a lot!!!!!!!!
I can run the demo_image.py successfully,so I want to continue to train the model by COCO dataset.
When i run train_pose.py,the command window will show 'Epoch1/20000' then no response.Above it,it shows an error:"AttributeError: 'AugImgMetadata' object has no attribute 'shape'"
I have no idea about it .The following is my error log.
If anyone has some ideas,please tell me !thx!
By the way.I'm Windows10+cuda8.0+cudnn6.0.21+tensorflow-gpu 1.3.0+keras2.0.7ERROR LOG:
[0502 17:12:41 @parallel.py:207] WRN MultiProcessRunner does support Windows. However, Windows requires more strict picklability on processes, which may lead of failure on some of the code.
Using TensorFlow backend.
[0502 17:13:09 @develop.py:109] WRN [Deprecated] augment_return_params [:1] will be deprecated after 06 Jun. Please useget_transform
instead!
[0502 17:13:09 @argtools.py:138] WRN The old augmentor interface was deprecated. Please implement ScaleAug withget_transform
instead!
Process _Worker-1:
Traceback (most recent call last):
File "e:\anaconda3\envs\tfpose\lib\multiprocessing\process.py", line 249, in _bootstrap
self.run()
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\parallel.py", line 192, in run
for dp in self.ds:
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\common.py", line 314, in iter
for dp in self.ds:
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\common.py", line 314, in iter
for dp in self.ds:
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\common.py", line 315, in iter
ret = self.func(copy(dp)) # shallow copy the list
File "..\training\dataset.py", line 100, in augment
scale=meta.scale))
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\utils\develop.py", line 144, in new_func
return func(*args, **kwargs)
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\imgaug\base.py", line 208, in augment_return_params
return t.apply_image(d), t
File "e:\anaconda3\envs\tfpose\lib\site-packages\tensorpack\dataflow\imgaug\transform.py", line 119, in apply_image
assert img.shape[:2] == (self.h, self.w)
AttributeError: 'AugImgMetadata' object has no attribute 'shape'
Epoch 1/2
Hi,I'm using this project and get the same error. Have you solve this problem? I am developing my project on MAC. And I paste the errorReport at the bottom.
assert img.shape[:2] == (self.h, self.w)
AttributeError: 'AugImgMetadata' object has no attribute 'shape'
from keras_realtime_multi-person_pose_estimation.
Related Issues (20)
- Why you take only one person HOT 1
- keypoints out off the crop HOT 2
- Attribute Error
- Low resolution images HOT 2
- What is the idea behind `scale_search` ?
- Question about architecture
- do you have .pb model? HOT 1
- in 2d_posse_estimation.py->model.predict : name 'model' is not defined HOT 1
- PAF ordering corresponding to the limbs? HOT 1
- create_paf and create_heatmap HOT 1
- Train on my own dataset , got an error: assert batch_size <= ds.size()
- Apply Mask
- How to change the model for more keypoints? HOT 2
- "No model found in config file" keras model
- This model is SO SLOW and unusable !
- What is the activation layer for output?
- Question about batch_dataflow function
- Converted Body_25 Model?
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from keras_realtime_multi-person_pose_estimation.