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.

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