8830dc5b81b4b0f8d8080fb60cc4196b5752891e,python/caffe/classifier.py,Classifier,predict,#Classifier#,46

Before Change

            inputs = inputs[:, crop[0]:crop[2], crop[1]:crop[3], :]

        // Classify
        caffe_in = self.preprocess(self.inputs[0], inputs)
        out = self.forward_all(**{self.inputs[0]: caffe_in})
        predictions = out[self.outputs[0]].squeeze(axis=(2,3))

        // For oversampling, average predictions across crops.
        if oversample:
            predictions = predictions.reshape((len(predictions) / 10, 10, -1))
            predictions = predictions.mean(1)

        return predictions

After Change

            inputs = inputs[:, crop[0]:crop[2], crop[1]:crop[3], :]

        // Classify
        caffe_in = np.asarray([self.preprocess(self.inputs[0], in_)
                    for in_ in inputs])
        out = self.forward_all(**{self.inputs[0]: caffe_in})
        predictions = out[self.outputs[0]].squeeze(axis=(2,3))

        // For oversampling, average predictions across crops.
        if oversample:
            predictions = predictions.reshape((len(predictions) / 10, 10, -1))
            predictions = predictions.mean(1)

        return predictions

Instances