A training, validation, and predict demo by using inception v3.
$ source init.shCreate a tar.gz file with structure below:
$ less sample.tar.gz
rw-r--r-- worker/worker 823 2017-01-21 fish2.0/A1/953275.jpg
rw-r--r-- worker/worker 823 2017-01-21 fish2.0/A2/1067563.jpg
rw-r--r-- worker/worker 823 2017-01-21 fish2.0/A3/2353330.jpg
rw-r--r-- worker/worker 823 2017-01-21 fish2.0/A4/1664412.jpg
rw-r--r-- worker/worker 823 2017-01-21 fish2.0/A5/1264412.jpg$ # Generate training dataset
$ sh preprocess.sh
$ ls
.
├── labels.txt
├── train
│ ├── negative
│ └── positive
└── validation
├── negative
└── positive
$ sh build_data.shTo make sure that you have pre-trained Inception V3 model like model.ckpt-157585.
$ sh train.sh-rw-r--r-- 1 worker w 72K 01-23 12:51 model.ckpt-2000.index
-rw-r--r-- 1 worker w 519 01-23 12:51 checkpoint
-rw-r--r-- 1 worker w 13M 01-23 12:52 model.ckpt-2000.meta$ sh eval.sh
2017-01-23 18:11:13.276846: starting evaluation on (train).
2017-01-23 18:11:35.051256: precision @ 1 = 1.0000 recall @ 5 = 1.0000 [224 examples]$ sh build_test_data.shYou will see
$ ls
test-00000-of-00001$ sh predict.sh 10
2017-01-23 18:16:54.551870: starting evaluation on (test).
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2305191.jpg 1- Fixed the multi-thread problem during prediction (In a low efficiency way. LOL).
- Print the file name and corresponding prediction result.
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