I'm trying run a simple code with caffe that should open deploy.prototxt
but it couldn't open the file and throws this error
RuntimeError: Could not open file /home/ebadawy/git/caffemodels/bvlc_reference_caffenet/deploy.prototxt
this is my code
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (10, 10) # large images
plt.rcParams['image.interpolation'] = 'nearest' # don't interpolate: show square pixels
plt.rcParams['image.cmap'] = 'gray' # use grayscale output rather than a (potentially misleading)
# color heatmap
caffe_root = '/home/ebadawy/git/caffe'
import os
if os.path.isfile(caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'):
print('CaffeNet found.')
else:
print('Downloading pre-trained CaffeNet model...')
os.system('../scripts/download_model_binary.py ../models/bvlc_reference_caffenet')
import caffe
caffe.set_mode_cpu()
model_def = caffe_root + 'models/bvlc_reference_caffenet/deploy.prototxt'
model_weights = caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'
net = caffe.Net(model_def, # defines the structure of the model
model_weights, # contains the trained weights
caffe.TEST) # use test mode (e.g., don't perform dropout)
I'm using archlinux+python3.5
caffe_root = '/home/ebadawy/git/caffe/'
adding the backslash at the end will make the path refer to
caffe/models instead of caffemodels
please review your code very well before running it , you are lucky you got an error.