Method encode_with_intermediate

src/evaluate/net.py:81–86

(self, input)

    # extract relu1_1, relu2_1, relu3_1, relu4_1 from input image
    def encode_with_intermediate(self, input):
        results = [input]
        for i in range(4):
            func = getattr(self, 'enc_{:d}'.format(i + 1))
            results.append(func(results[-1]))
        return results[1:]

    def calc_mean_std(self, feat, eps=1e-5):
        # eps is a small value added to the variance to avoid divide-by-zero.