Reputation: 4478
I had trained a CNN using Keras in Google Colab, but, after downloading the model, I am not able to load the hdf5
file in my local system ( Windows ).
I have done this before, and never had any issue. This is the error that I am getting.
Traceback (most recent call last):
File "D:/Work/binary-face-recognition/predict-test.py", line 27, in <module>
model = load_model('model.hdf5')
File "C:\Users\PARTHA.N\AppData\Local\Continuum\anaconda3\envs\face\lib\site-packages\keras\engine\saving.py", line 417, in load_model
f = h5dict(filepath, 'r')
File "C:\Users\PARTHA.N\AppData\Local\Continuum\anaconda3\envs\face\lib\site-packages\keras\utils\io_utils.py", line 186, in __init__
self.data = h5py.File(path, mode=mode)
File "C:\Users\PARTHA.N\AppData\Local\Continuum\anaconda3\envs\face\lib\site-packages\h5py\_hl\files.py", line 312, in __init__
fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
File "C:\Users\PARTHA.N\AppData\Local\Continuum\anaconda3\envs\face\lib\site-packages\h5py\_hl\files.py", line 142, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 78, in h5py.h5f.open
OSError: Unable to open file (truncated file: eof = 38486016, sblock->base_addr = 0, stored_eof = 72708080)
For loading the model, I'm doing a base load_model
call
from keras.models import load_model
model = load_model('model.hdf5')
To save & download the model from Google Colab I'm using the following snippet.
# save model
model.save('model.hdf5')
# download model
from google.colab import files
files.download('model.hdf5')
I get the following error in Google colb at the line files.download()
after the file is downloaded.
----------------------------------------
Exception happened during processing of request from ('::ffff:172.28.0.1', 47132, 0, 0)
Traceback (most recent call last):
File "/usr/lib/python3.6/socketserver.py", line 317, in _handle_request_noblock
self.process_request(request, client_address)
File "/usr/lib/python3.6/socketserver.py", line 348, in process_request
self.finish_request(request, client_address)
File "/usr/lib/python3.6/socketserver.py", line 361, in finish_request
self.RequestHandlerClass(request, client_address, self)
File "/usr/lib/python3.6/socketserver.py", line 721, in __init__
self.handle()
File "/usr/lib/python3.6/http/server.py", line 418, in handle
self.handle_one_request()
File "/usr/lib/python3.6/http/server.py", line 406, in handle_one_request
method()
File "/usr/lib/python3.6/http/server.py", line 639, in do_GET
self.copyfile(f, self.wfile)
File "/usr/lib/python3.6/http/server.py", line 800, in copyfile
shutil.copyfileobj(source, outputfile)
File "/usr/lib/python3.6/shutil.py", line 82, in copyfileobj
fdst.write(buf)
File "/usr/lib/python3.6/socketserver.py", line 800, in write
self._sock.sendall(b)
ConnectionResetError: [Errno 104] Connection reset by peer
----------------------------------------
Upvotes: 1
Views: 4378
Reputation: 3826
I did face the same issue, what I did differently was to download the files from the files manager instead and the same worked just fine.
Click on the little arrow on the top left corner of the screen just below the colab sign looks something like
Then you will need to click on the files and navigate to the required file right click and download the required file. This worked better for me and there was no connection error, which was the case in files.download method
Upvotes: 2
Reputation: 16792
Coming from the description here
"Connection reset by peer" is the TCP/IP equivalent of slamming the phone back on the hook. It's more polite than merely not replying, leaving one hanging. But it's not the FIN-ACK expected of the truly polite TCP/IP converseur
Upvotes: 1
Reputation: 4478
Looks like there was some issue with the internet connection. I switched to another WiFi, and it worked fine.
The question sounds silly now, but keeping it, and answering this in hopes that it helps someone who comes across the same problem.
Upvotes: 0