TextBoxes re-implementation using tensorflow. This project is greatly inspired by slim project And many functions are modified based on SSD-tensorflow project Later, we will overwrite this project so make it more flexiable and modularized.
Author: Daitao Xing : dx383@nyu.edu Jin Huang : jh5442@nyu.edu
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
1. Need to redesign visualization
2. image_processing can be improved
- traing on other datasets
- fine tunes
- test
- automatic downloading datasets and so on