说明： 利用tensorflow加载预训练模型对5种花卉图像进行识别。训练文件包含两个部分：识别 (The pre training model is loaded by tensorflow to recognize five kinds of flower images. The file contains two parts: training and recognition)
# InceptionV3_TensorFlow #
InceptionV3_TensorFlow is an implementation of inception v3 using tensorflow and slim according to our guidline.
## Dependencies ##
- TensorFlow (>= 0.12)
## Features ##
- train
- predict
- save checkpoint
- real time data augumentation
## Quick start ##
If you want a quick start to run training of Inception_v3, you can simply do:
``` bash
./train.sh
```
The above script has passed test under Ubuntu15.10, CentOS and macOS.
If you want to go through the train process step by step, please take the following content as example.
### Setup ###
1. download data in data/readme.md
2. execute "data/create_examples_list.py"
3. execute "data/relation_tag_to_id.py"
4. you can see train_csv.txt and test_csv.txt
### Start to train##
```
python trainer.py
```
Pass test under Ubuntu15.10 and CentOS
### How to use your own data sets ###
- create train_csv.txt and test_csv.txt in data directory.
### datalist format ###
```
,