*** create new environment 
- conda install python=3.9
- conda create -n {name} python=3.9
- conda activate {name}

**** activate protobuff
- python use_protobuff.py object_detection/protos protoc

*** do setup 
python -m pip install .
conda install numpy

cd research/object_detection

*** test
- python builders/model_builder_tf2_test.py

pip install wget

python .\detect_from_image.py -m ssd_mobilenet_v2_320x320_coco17_tpu-8\saved_model -l .\data\mscoco_label_map.pbtxt -i .\images


*** model create
pip install labelimg 

run -> labelimg.exe

python xml_to_csv.py

# python generate_tfrecord.py --csv_input=images/test_labels.csv --image_dir=images/test --output_path=test.record
# python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record

# python model_main_tf2.py --pipeline_config_path=ssd_efficientdet_d0_512x512_coco17_tpu-8.config --model_dir=training