so I would like to use to TF Object Detection API to calculate mAP scores for YOLO.
Currently I'm training my YOLO model and it is producing ckpt files/frozen graph files.
I would like to take my YOLO model and evaluate it using the TF Obj Dec API. I know Eval.py says
2) Three configuration files may be provided: a model_pb2.DetectionModel configuration file to define what type of DetectionModel is being evaluated, an input_reader_pb2.InputReader file to specify what data the model is evaluating and an eval_pb2.EvalConfig file to configure evaluation parameters.
Example usage:
./eval \
--logtostderr \
--checkpoint_dir=path/to/checkpoint_dir \
--eval_dir=path/to/eval_dir \
--eval_config_path=eval_config.pbtxt \
--model_config_path=model_config.pbtxt \
--input_config_path=eval_input_config.pbtxt
However, with darkflow there is no model_pb2.DetectonModel Configuration file. Is this possible?
