anaconda prompt
pip install --upgrade --ignore-installed tensorflow
Google Object Detection API
http://blog.csdn.net/qq_35167683/article/details/79204265
python object_detection/dataset_tools/create_pascal_tf_record4raccoon.py --data_dir=C:\TF\raccoon_dataset-master\images --set=C:\TF\raccoon_dataset-master\train.txt --output_path=C:\TF\raccoon_dataset-master\train.record --label_map_path=C:\TF\raccoon_dataset-master\raccoon_label_map.pbtxt --annotations_dir=C:\TF\raccoon_dataset-master\annotations
python object_detection/dataset_tools/create_pascal_tf_record4raccoon.py --data_dir=C:\TF\raccoon_dataset-master\images --set=C:\TF\raccoon_dataset-master\val.txt --output_path=C:\TF\raccoon_dataset-master\val.record --label_map_path=C:\TF\raccoon_dataset-master\raccoon_label_map.pbtxt --annotations_dir=C:\TF\raccoon_dataset-master\annotations
python train.py --logtostderr --pipeline_config_path=C:\TF\raccoon_ataset-master\ssd_mobilenet_v1_raccoon.config --train_dir=C:\TF\raccoon_dataset-master\train
python eval.py --logtostderr --pipeline_config_path=C:\TF\raccoon_ataset-master\ssd_mobilenet_v1_raccoon.config --checkpoint_dir=C:\TF\raccoon_dataset-master\train --eval_dir=C:\TF\raccoon_dataset-master\eval
tensorboard --logdir=C:\TF\raccoon_dataset-master\
python export_inference_graph.py --pipeline_config_path=C:\TF\raccoon_dataset-master\ssd_mobilenet_v1_raccoon.config --trained_checkpoint_prefix=C:\TF\raccoon_dataset-master\train\model.ckpt-113 --output_directory=C:\TF\raccoon_dataset-master\train
python object_detection/dataset_tools/create_pascal_tf_record4raccoon.py
--data_dir=dataset\images
--set=dataset\train.txt
--output_path=dataset\train.record
--label_map_path=dataset\raccoon_label_map.pbtxt
--annotations_dir=dataset\annotations
python object_detection/dataset_tools/create_pascal_tf_record4raccoon.py
--data_dir=dataset\images
--set=dataset\val.txt
--output_path=dataset\val.record
--label_map_path=dataset\raccoon_label_map.pbtxt
--annotations_dir=dataset\annotations
python train.py
--logtostderr
--pipeline_config_path=dataset\ssd_mobilenet_v1_raccoon.config
--train_dir=dataset\train
python eval.py
--logtostderr
--pipeline_config_path=dataset\ssd_mobilenet_v1_raccoon.config
--checkpoint_dir=dataset\train
--eval_dir=dataset\eval
tensorboard --logdir=dataset\
python export_inference_graph.py
--pipeline_config_path=dataset\ssd_mobilenet_v1_raccoon.config
--trained_checkpoint_prefix=dataset\train\model.ckpt-113
--output_directory=dataset\train