of words.""" with zipfile.ZipFile(filename) as f: data = tf.compat.as_str(f.read(f.namelist()[0])).split() return data vocabulary

'RPN_NMS_THRESH': 0.7, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'RPN_TOP_N': 5000, 'SCALES': [600], 'SVM': False}

address 0x00000000211f0d88 Registers: RAX=0x00000000211f0c50, RBX=0x0000022920f1bf38, RCX=0x000002297cd3f9f8, RDX=0x00000046a99fb7e8

nw) // 2, (h - nh) // 2)) n_image = np.array(new_image) / 255.0 r_img = n_image.reshape([1] + list(n_image.shape)) r_img = r_img

reduce_sum([ tf.nn.l2_loss(n) for n in tf.trainable_variables() if 'bias' not in n.name and 'batch_normalization' not in n.name]) correct =

read().replace(' r n', ' n');f.close();exec(compile(code, __file__, 'exec'))" install --record /var/folders/f9/ymd5d3xs62gc7j6db4_8j

binder: 353:698 ioctl c020621f f6ee5bf8 returned -14 [ 122.034869] binder: 359:1479 ioctl c020621f f2d3bb48 returned -14 [ 122.035161]

subpart of System F](https://cstheory.stackexchange.com/questions/39814/what-is-the-difference-between-system-f-and-hindley-milner-type-system))

Ignoring source layer accuracy@top1 I0716 11:31:38.934779 356 net.cpp:746] Ignoring source layer accuracy@top5 Traceback (most recent

pix_losses) _, top_k_indices = self.topk(masked_pixel_losses, self._n_min) top_k_loss = self.gather(masked_pixel_losses, top_k_indices[self

to the top. Here is an example of syntax tree: ![输入图片说明](https://images.gitee.com/uploads/images/2021/0529/190639_f7d77f0d_8990305