Comments (6)
Hey Marc!
I wanted to convert vgg16 based FCN models for segmentation so I forked your repo and added support for deconv and crop layers, shall I raise a PR for the same?
from keras.
Thank you for your interest @DianaYu0601
I'm afraid I am not planning to update the converter anytime soon. I am involved in several other projects and I can't spend my time on this.
Although, if you are interested in this feature, any improvement proposed through a pull request would be very welcome! :)
from keras.
Hi @akshaychawla , that would be great!
Submit a PR anytime you want. If you could provide me with an example of network for testing the conversion that would be perfect.
from keras.
Sure! I'll also include an alexnet-fcn model in the keras/keras/caffe/models/ folder, also I've only implemented the graph conversion, still working on the weights!
from keras.
In that case let me know when you finish the weights part in order to test it.
from keras.
I just created a PR, now supports weight copying as well!
from keras.
Related Issues (20)
- Recurrent dropout is broken in (at least) AttGRUCond HOT 1
- Deconvolution layer not supported, while converting caffemodel weight into keras. HOT 3
- If i'm intending on using tensor flow? HOT 3
- Test WeightNorm optimizers HOT 1
- Use non-standard version of caffe for model conversion. HOT 3
- Bug when run caffe2keras HOT 1
- Hi
- hi when i run test_segmentation.py i receive this error str(n) + ' integers. Received: ' + str(value)) ValueError: The `1st entry of padding` argument must be a tuple of 2 integers. Received: 100
- when i run test_segmentation.py i receive this essor str(n) + ' integers. Received: ' + str(value)) ValueError: The `1st entry of padding` argument must be a tuple of 2 integers. Received: 100
- Conversion of PoolingND Layer
- python3 support for caffe2keras HOT 1
- Error when converting with merge layer
- the accuracy decrease appearently after converting caffe to keras. HOT 1
- Error when converting with Scale layer HOT 1
- TypeError: __call__() takes 2 positional arguments but 4 were given HOT 4
- no module named 'keras_applications' HOT 1
- TypeError: expected bytes, str found HOT 4
- Negative dimension size for 'pool2/MaxPool' (op: 'MaxPool') with input shapes:[?,1,112,128].
- Hi, I'm just wondering why you coded like this.
- Caffe2keras.py: ValueError: need more than 3 values to unpack in convert.py
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from keras.