Comments (11)
from research.
Hi,
I know I'm a bit late but I have the same problem. Did you get any further on this? Really appreciate any suggestions.
from research.
Hello there,
Any word on this? I'm having the same problem and I tried tweaking the model and nothing would work, the validation loss starts a lot higher than the training loss for some reason and does not go down.
from research.
Sorry for late reply,
The network is probably working as intended (checked it with my professor), but my guess is that the data is corrupt. Maybe you could make a script that previews the images before they are fed into the network?
from research.
Thanks for replying,
So you are still facing the same problem? I also have a feeling that there's something wrong with the validation data since its loss is way higher.
from research.
I actually gave up. Can’t remember the different losses but you might be right. Maybe make your own dataset from KITTI?
from research.
I will look into that, thanks a lot.
from research.
By the way @MahmoudKhaledAli , since this is a regression problem with MSE as a loss function, it makes more sense to use a linear activation function in the last layer.
Just to check, try removing the last model.add(ELU())
and replace model.add(Dense(512))
with model.add(Dense(512, activation='linear'))
.
from research.
I already tried setting the activation to None, but I will definitely give that a go, thanks for your help.
from research.
in the view steering model.py file
I found his error (ValueError: bad marshal data (unknown type code)) result when trying to execute the view steering model.py
here is the result from the cmd prompt
Traceback (most recent call last):
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 229, in func_load
raw_code = codecs.decode(code.encode('ascii'), 'base64')
UnicodeEncodeError: 'ascii' codec can't encode character '\xe0' in position 46:
ordinal not in range(128)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "view_steering_model.py", line 94, in
model = model_from_json(json.load(jfile))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\models.py", line 349,
in model_from_json
return layer_module.deserialize(config, custom_objects=custom_objects)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers_init_.py", l
ine 55, in deserialize
printable_module_name='layer')
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\models.py", line 1349,
in from_config
layer = layer_module.deserialize(conf, custom_objects=custom_objects)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers_init_.py", l
ine 55, in deserialize
printable_module_name='layer')
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\layers\core.py", line
711, in from_config
function = func_load(config['function'], globs=globs)
File "C:\Users\lenovo\Anaconda3\lib\site-packages\keras\utils\generic_utils.py
", line 234, in func_load
code = marshal.loads(raw_code)
ValueError: bad marshal data (unknown type code)
from research.
Yeah I had the same problem, so I went ahead and re-wrote the graph myself and then loaded the weights from the .json file, however the mse is still very high.
from research.
Related Issues (20)
- TypeError: slice indices must be integers or None or have an __index__ method
- TypeError: slice indices must be integers or None or have an __index__ method HOT 1
- About the dividing of training set and testing set HOT 1
- server.py file HOT 1
- bad marshal data errorin the view steering model.py HOT 4
- How can i get the camera parameter about the pic? HOT 2
- Suggestion: use "pygame.event.pump()" to prevent not responding. HOT 1
- autoencoder (ONLY) model refactored for TensorFlow 1.10+
- can not understand transition some code. Help,thanks
- What is the mapping between the frame and the steering angle HOT 1
- how to see the video
- Error during training the transition model: ValueError: could not broadcast input array from shape (0,3,160,320) into shape (60,3,160,320) HOT 1
- How can I train a model?
- The dataset contains random images HOT 1
- Hey am new to this and don't understand much of so any help would be much appreciated
- Hsck
- velodyne_gps
- Is the model in Comma 3 open sourced? HOT 2
- can not find keys start with 'app_'
- Steering Angle in Dataset
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from research.