1. 安装Tensorflow Hub

pip install "tensorflow>=1.7.0"
pip install tensorflow-hub

2. 获取花卉照片集

curl -LO http://download.tensorflow.org/example_images/flower_photos.tgz
tar xzf flower_photos.tgz

3. 下载训练代码

mkdir retrain
cd retrain/
curl -LO https:///tensorflow/hub/raw/master/examples/image_retraining/retrain.py

4. 翻墙(不然训练时下载预先训练的模型会失败)

curl -LO https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer-64-bit.deb
dpkg -i lantern-installer-64-bit.deb
lantern

5. 训练

python retrain.py --image_dir ../flower_photos

注: 模型文件:/tmp/output_graph.pb, 标签文件文件:/tmp/output_labels.

6. 测试

git clone https:///tensorflow/tensorflow
cd tensorflow
bazel build tensorflow/examples/label_image:label_image
bazel-bin/tensorflow/examples/label_image/label_image \
                --image=/test.jpg \
                --graph=/tmp/output_graph.pb \
                --labels=/tmp/output_labels.txt \
                --input_layer="Placeholder" \
                --output_layer="final_result"

输出结果:

​​​​​​​daisy (0): 0.86599
sunflowers (3): 0.131518
roses (2): 0.00105852
dandelion (1): 0.000859526
tulips (4): 0.000574312

注:  相看相关参数

bazel-bin/tensorflow/tools/graph_transforms/summarize_graph --in_graph=/tmp/output_graph.pb

7. 使用TensorBoard可视化再培训(可选)

tensorboard --logdir /tmp/retrain_logs

注:训练开始后执行以上命令,并在浏览器打开localhost:6006