conda create -n tf1 python=3.7
conda activate tf1
conda install tensorflow-gpu=1.15 pillow Cython lxml jupyter matplotlib
conda install -c anaconda protobuf
git clone https://github.com/tensorflow/models.git
cd models
(tf1) E:\models\research>for /f %i in ('dir /b object_detection\protos\*.proto') ^do protoc object_detection\protos\%i --python_out=.
(tf1) E:\models\research>python setup.py build
(tf1) E:\models\research>python setup.py install
(tf1) E:\models\research>set PYTHONPATH=%PYTHONPATH%;%TENSORFLOW%\models\research;^%TENSORFLOW%\models\research\slim;^%TENSORFLOW%\models\research\object_detection
(tf1) E:\models\research>python object_detection/builders/model_builder_test.py
Ran 17 tests in 0.833s
OK (skipped=1)
python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_coco.config
python E:\models\research\object_detection\legacy\eval.py --logtostderr --pipeline_config_path=E:\training_demo\training\ssd_mobilenet_v1_coco.config --checkpoint_dir=E:\training_demo\training --eval_dir=eval
python E:\models\research\object_detection\model_main.py --alsologtostderr --run_once --checkpoint_dir=E:\training_demo\training --model_dir=eval --pipeline_config_path=E:\training_demo\training\ssd_mobilenet_v1_coco.config
python export_inference_graph.py --input_type image_tensor --pipeline_config_path E:/training_demo/training/ssd_mobilenet_v1_coco.config --trained_checkpoint_prefix E:/training_demo/training/model.ckpt-16438 --output_directory E:/training_demo/inference/output_inference_graph_v1.pb
saved_model_cli show --dir E:\training_demo\inference\output_inference_graph_v1.pb\saved_model --tag_set serve --signature_def serving_default
ModuleNotFoundError: No module named 'nets'
(tf1) E:\models\research>set PYTHONPATH=E:\models\research;E:\models\research\slim