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1 将图片数据转换成TF-Record格式文件
Pet数据 Generating the Oxford-IIIT Pet TFRecord files.python dataset_tools/create_pet_tf_record.py \
--label_map_path=object_detection/data/pet_label_map.pbtxt \
--data_dir=H:/pythoncode/Tensorflow/ObjectDetection/data/pets \
--output_dir=H:/pythoncode/Tensorflow/ObjectDetection/data/pets/record
VOC数据 Generating the PASCAL VOC TFRecord files
python dataset_tools/create_pascal_tf_record.py \
--label_map_path=object_detection/data/pascal_label_map.pbtxt \
--data_dir=H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit --year=VOC2012 --set=train \
--output_path=H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit/record/pascal_train.record
python dataset_tools/create_pascal_tf_record.py \
--label_map_path=object_detection/data/pascal_label_map.pbtxt \
--data_dir=H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit --year=VOC2012 --set=val \
--output_path=H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit/record/pascal_val.record
2 配置训练参数 Configuring the Trainer
目录 ..\models\research\object_detection\samples\configs修改类别数 num_classes: 20
fine_tune_checkpoint: "H:/pythoncode/Tensorflow/ObjectDetection/data/ssd_mobilenet_v1_coco_2017_11_17/model.ckpt"
train_input_reader: {
tf_record_input_reader {
input_path: "H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit/train/pascal_train.record" #训练数据生成的tfrecords文件
}
label_map_path: "H:/pythoncode/Tensorflow/ObjectDetection/data/pascal_label_map.pbtxt" #样本的类别信息
}
eval_input_reader: {
tf_record_input_reader {
input_path: "H:/pythoncode/Tensorflow/ObjectDetection/data/VOCdevkit/val/pascal_val.record" #校验数据生成的tfrecords文件
}
label_map_path: "H:/pythoncode/Tensorflow/ObjectDetection/data/pascal_label_map.pbtxt" #样本的类别信息
shuffle: false
num_readers: 1
}
3 训练Running the Training Job
python train.py \--logtostderr \
--pipeline_config_path=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\ssd_mobilenet_v1_coco.config \
--train_dir=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\train_log
4 验证 Running the Evaluation Job
python eval.py \--logtostderr \
--pipeline_config_path=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\ssd_mobilenet_v1_coco.config \
--checkpoint_dir=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\train_log \
--eval_dir=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\val_log
5 Tensorboard Running Tensorboard
tensorboard --logdir=H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\train_log6 导出训练好的模型 Exporting a trained model for inference
python export_inference_graph.py \--input_type image_tensor \
--pipeline_config_path H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\ssd_mobilenet_v1_coco.config \
--trained_checkpoint_prefix H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\train_log\model.ckpt-3538 \
--output_directory H:\pythoncode\Tensorflow\ObjectDetection\data\VOCdevkit\object_detection_graph
参考资料：