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#!/bin/bash
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export CUDA_VISIBLE_DEVICES=0
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python -u ./translate_line.py -k 10 ./pretrain/WAP_params.pkl \
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./pretrain/kindai_voc.txt \
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./data_kindai/val.pkl \
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./data_kindai/caption_val.txt \
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./result/test_decode_result.txt \
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./result/test.wer
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torch==0.4.1.post2
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torch==1.4.0
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torchvision==0.2.1
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opencv-python==3.4.2.17
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scikit-image==0.14.2
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scipy==1.1.0
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Polygon3
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6
utils.py
6
utils.py
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@ -5,12 +5,6 @@ import sys
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import pickle as pkl
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import torch
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from torch import nn
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from Augmentor.Operations import Distort, Skew, RandomBrightness
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from PIL import Image
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d = Distort(probability=0.2, grid_height=15, grid_width=15, magnitude=10)
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sk = Skew(probability=1.0, skew_type='TILT_LEFT_RIGHT', magnitude=0.15)
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br = RandomBrightness(probability = 1.0, min_factor = 0.9, max_factor = 1.1)
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# load data
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def dataIterator(feature_file, label_file, dictionary, batch_size, batch_Imagesize, maxlen, maxImagesize):
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