The dev email list is mostly used for internal discussion about features etc.
Could you please post this on the discussion forum: https://discuss.mxnet.io.
You'll be much more likely to get a response from the community there.
On 2/12/18, 11:24 AM, "Watts 2" wrote:
I am new to mxnet. I am assuming this is the right place to ask a
programming question. If yes, please see below. If no, please point me to
the right forum.
Thanks
My question -
I just installed mxnet 1.0.0 (later downgraded to 0.12.1 but still same
problem) and python 3.5 on a Ubuntu 14.04 machine with CUDA 8.0 and cudnn
7.0.5.
I am trying to load image data into ndarray.
My code is given below. I am trying to store image data in an ndarray. (see
https://github.com/ypwhs/DogBreed_gluon/blob/master/get_features_v3.ipynb
for
the original code) -
X_224 = nd.zeros((n, 3, 224, 224))
X_299 = nd.zeros((n, 3, 299, 299))
mean = np.array([0.485, 0.456, 0.406])
std = np.array([0.229, 0.224, 0.225])
for i, (fname, breed) in tqdm(df.iterrows(), total=n):
img = cv2.imread('data/train/%s.jpg' % fname)
img_224 = ((cv2.resize(img, (224, 224))[:, :, ::-1] / 255.0 -
mean) / std).transpose((2, 0, 1))
img_299 = ((cv2.resize(img, (299, 299))[:, :, ::-1] / 255.0 -
mean) / std).transpose((2, 0, 1))
X_224[i] = nd.array(img_224) <-- I get error in this line
X_299[i] = nd.array(img_299)
ValueError: Indexing NDArray with index=0 and type=class 'numpy.int64' is
not supported.
