commit
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@ -30,7 +30,7 @@ python setup.py install
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```
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### 2. 获取预训练模型
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模型裁剪需要加载事先训练好的模型,PaddleOCR也提供了一系列模型[../../../doc/doc_ch/models_list.md],开发者可根据需要自行选择模型或使用自己的模型。
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模型裁剪需要加载事先训练好的模型,PaddleOCR也提供了一系列(模型)[../../../doc/doc_ch/models_list.md],开发者可根据需要自行选择模型或使用自己的模型。
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### 3. 敏感度分析训练
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@ -24,6 +24,7 @@ sys.path.append(os.path.join(__dir__, '..', '..', '..'))
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sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
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import program
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import paddle
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from paddle import fluid
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from ppocr.utils.utility import initial_logger
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logger = initial_logger()
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@ -32,6 +33,12 @@ from paddleslim.prune import load_model
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def main():
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# Run code with static graph mode.
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try:
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paddle.enable_static()
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except:
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pass
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startup_prog, eval_program, place, config, _ = program.preprocess()
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feeded_var_names, target_vars, fetches_var_name = program.build_export(
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@ -19,6 +19,7 @@ from __future__ import print_function
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import os
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import sys
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import numpy as np
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import paddle
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__dir__ = os.path.dirname(__file__)
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sys.path.append(__dir__)
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sys.path.append(os.path.join(__dir__, '..', '..', '..'))
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@ -49,6 +50,12 @@ skip_list = [
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def main():
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# Run code with static graph mode.
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try:
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paddle.enable_static()
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except:
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pass
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config = program.load_config(FLAGS.config)
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program.merge_config(FLAGS.opt)
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logger.info(config)
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@ -25,6 +25,7 @@ sys.path.append(os.path.join(__dir__, '..', '..', '..', 'tools'))
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import json
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import cv2
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import paddle
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from paddle import fluid
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import paddleslim as slim
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from copy import deepcopy
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@ -60,6 +61,12 @@ def eval_function(eval_args, mode='eval'):
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def main():
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# Run code with static graph mode.
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try:
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paddle.enable_static()
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except:
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pass
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config = program.load_config(FLAGS.config)
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program.merge_config(FLAGS.opt)
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logger.info(config)
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@ -39,6 +39,7 @@ set_paddle_flags(
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)
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import program
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import paddle
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from paddle import fluid
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from ppocr.utils.utility import initial_logger
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logger = initial_logger()
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@ -76,6 +77,11 @@ def main():
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# The decay coefficient of moving average, default is 0.9
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'moving_rate': 0.9,
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}
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# Run code with static graph mode.
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try:
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paddle.enable_static()
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except:
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pass
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startup_prog, eval_program, place, config, alg_type = program.preprocess()
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@ -85,6 +85,12 @@ def get_optimizer():
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def main():
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# Run code with static graph mode.
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try:
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paddle.enable_static()
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except:
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pass
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train_build_outputs = program.build(
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config, train_program, startup_program, mode='train')
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train_loader = train_build_outputs[0]
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