来自网络的多个图像的特征映射完全相同

Question

我正在尝试从网络中提取特征地图，类似于所做的here，只是为了一个图像列表而不是一个。我的代码如下所示：

net = caffe.Net(prototxt, weights, caffe.TEST)
# ...
for img_idx, img_path in enumerate(list_of_image_paths):
    img = caffe.io.load_image(img_path)
    net.blobs['data'].data[...] = transformer.preprocess('data', img)
    net.forward()

    #extract filters and features
    for layer, _ in net.blobs.iteritems():
        if img_idx == 0:
            filters = net.params[l][0].data.copy()
            save_filters(filters, layer) #saves filters for all units
        features = net.blobs[l].data.copy()
        save_features(features, layer, img_idx) #saves featuremaps for all units

然而，每个图像的特征贴图保持不变。我是否需要以某种方式重置网络中间或如何完成此操作？