MachineLP的Github（欢迎follow）：https://github.com/MachineLP
（1）目标检测样本集的标定：
https://github.com/MachineLP/labelImg
（3）按照pascal_voc的格式组织
tensorflow/models-research-object_detection， 使用说明：
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_pets.md
修改config文件：
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/configuring_jobs.md
# From tensorflow/models/
(ubuntu下安装
protobuf：
https://blog.csdn.net/xiexievv/article/details/47396725)protoc object_detection/protos/*.proto --python_out=.
# From tensorflow/models/research/
python setup.py sdist(cd slim
&&
python setup.py sdist)
（4）生成tfRecords：
(
export
PYTHONPATH=$PYTHONPATH:
`pwd`
:
`pwd`)
python object_detection/dataset_tools/create_pascal_tf_record.py --label_map_path=object_detection/data/pascal_label_map.pbtxt --data_dir=object_detection/VOCdevkit --year=VOC2012 --set=train --output_path=object_detection/train/pascal_train.record
（5）train文件夹的目录：
train:
pascal_train.record
pascal_val.record
faster_rcnn_inception_v2_coco.config (samples/configs)
(参数、训练路径和测试路径)
pascal_label_map.pbtxt (data/)
mode.ckpt*
（6）开始训练：
python object_detection/train.py --logtostderr --pipeline_config_path=object_detection/train/faster_rcnn_inception_v2_coco.config --train_dir=object_detection/train
之后会遇到一个bug：
Tried to convert 't' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted [].
(7) 转 pb文件：
python object_detection/export_inference_graph.py --pipeline_config_path object_detection/train/faster_rcnn_inception_v2_coco.config --trained_checkpoint_prefix object_detection/train/model.ckpt-1072 --output_directory object_detection/train
(8)进行测试：
pythonw object_detection_tutorial.py
(9) 训练监控有没有新的权重保存：
python object_detection/eval.py --logtostderr --pipeline_config_path=object_detection/train/faster_rcnn_inception_v2_coco.config --checkpoint_dir=object_detection/train --eval_dir=object_detection/val
（10）使用tensorboard查看结果：
tensorboard --logdir val