https://github.com/gxd1994/TextBoxes-TensorFlow

TextBoxes re-implement using tensorflow
https://github.com/gxd1994/TextBoxes-TensorFlow

Last synced: 10 days ago
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TextBoxes re-implement using tensorflow

• Host: GitHub
• URL: https://github.com/gxd1994/TextBoxes-TensorFlow
• Owner: gxd1994
• Created: 2017-03-17T11:33:15.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-03-17T04:53:21.000Z (over 7 years ago)
• Last Synced: 2024-08-02T11:16:04.208Z (3 months ago)
• Language: Python
• Size: 795 KB
• Stars: 43
• Watchers: 3
• Forks: 49
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# TextBoxes-TensorFlow

TextBoxes re-implementation using tensorflow.

This project is greatly inspired by [slim project](https://github.com/tensorflow/models/tree/master/slim)

And many functions are modified based on [SSD-tensorflow project](https://github.com/balancap/SSD-Tensorflow)

Later, we will overwrite this project so make it more

flexiable and modularized.

Author: 

	Daitao Xing : [email protected]

	Jin Huang   : [email protected]

# Progress

2017/ 03/14  

data_processing phase finished

Test：

	1. Download the dataset， put 1/ folder and gt.mat uner ddata/sythtext/ folder（will wirte script）   

	2. python datasets/data2record.py    

	3. python image_processing.py    

	

output： batch_size * 300 * 300 * 3 image

2017/ 03/17  

Finish the design of training(can start training)	

	python train.py \

    --train_dir=${TRAIN_DIR} \

    --dataset_dir=${DATASET_DIR} \

    --save_summaries_secs=60 \

    --save_interval_secs=600 \

    --weight_decay=0.0005 \

    --optimizer=adam \

    --learning_rate=0.001 \

    --batch_size=32

# Problems to be solved： 

	1. Need to redesign visualization		

	2. image_processing can be improved

		

# Next steps:

 

1. traing on other datasets

2. fine tunes

3. test

4. automatic downloading datasets and so on