Training a TensorFlow Object Detection Network смотреть онлайн

link to Config File:
https://github.com/emadyagh/Object_detection_codes

link to download model:

http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz

Training Instrucion:
python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config

link to tesorflow wheel version:

https://github.com/fo40225/tensorflow-windows-wheel/raw/master/1.15.0/py37/CPU%2BGPU/cuda101cudnn76sse2/tensorflow-1.15.0-cp37-cp37m-win_amd64.whl


Instruction to export the model:

python export_inference_graph.py \
--input_type image_tensor \
--pipeline_config_path training/ssd_mobilenet_v1_pets.config \
--trained_checkpoint_prefix training/model.ckpt-10856 \
--output_directory chili_inference_graph

link to labelimg code:
https://github.com/tzutalin/labelImg

xml to csv code:
https://github.com/emadyagh/Object_detection_codes

link to tf generator file:
https://github.com/datitran/raccoon_dataset/blob/master/generate_tfrecord.py

link to Tensorflow Object detection module:
https://github.com/tensorflow/models/tree/master/research/object_detection

instruction to generate train record:
python generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record

instruction to generate test record:
python generate_tfrecord.py --csv_input=data/test_labels.csv --output_path=data/test.record

instruction to directory preparation:
protoc object_detection/protos/*.proto --python_out=.