MSDN_base.py 文件源码

def get_image_blob_noscale(self, im):
        im_orig = im.astype(np.float32, copy=True)
        im_orig -= self.PIXEL_MEANS
        im_shape = im_orig.shape
        im_size_min = np.min(im_shape[0:2])
        im_size_max = np.max(im_shape[0:2])

        processed_ims = []
        im_scale_factors = []

        target_size = self.SCALES[0]
        im_scale = float(target_size) / float(im_size_min)
        # Prevent the biggest axis from being more than MAX_SIZE
        if np.round(im_scale * im_size_max) > self.MAX_SIZE:
            im_scale = float(self.MAX_SIZE) / float(im_size_max)
        im = cv2.resize(im_orig, None, None, fx=im_scale, fy=im_scale,
                        interpolation=cv2.INTER_LINEAR)
        im_scale_factors.append(im_scale)
        processed_ims.append(im)

        blob = im_list_to_blob(processed_ims)

        return blob, np.array(im_scale_factors)