Caffe model gives same output for every image

[HARJATIN SINGH]

I just loaded alexnet in caffe using predefined prototxt and caffemodel files. However sending any image to the model returns the same value as output of fc7 layer.

Here is the code snippet:

net=caffe.Net('alexnet/train_val.prototxt','alexnet/bvlc_alexnet.caffemodel',caffe.TEST) 

for image in images:
    im = np.array(caffe.io.load_image(image, color=True)).squeeze()
    im_input = im[np.newaxis, np.newaxis, :, :]
    net.blobs['data'].reshape(*im_input.shape)
    net.blobs['data'].data[...] = im_input
    net.forward()
    fc = net.blobs['fc7'].data
    print(fc)#Always produces the same output

[Shubham Juneja]

I am experiencing a similar problem. What I have seen so far is that first image gets stuck in the blob. I can't find any way to clear the blob after every net.forward() . I don't want to send in Test images in batches, I want to go sequentially.