detection_rcnn_fpn.yaml

DEPLOY:
    USE_GPU: 1
    MODEL_PATH: "/root/projects/models/faster_rcnn_pp50_fpn"
    MODEL_FILENAME: "__model__"
    PARAMS_FILENAME: "__params__"
    EVAL_CROP_SIZE: (608, 608)
    RESIZE_TYPE: "RANGE_SCALING"
    TARGET_SHORT_SIZE : 800
    MEAN:  [0.485, 0.456, 0.406]
    STD: [0.229, 0.224, 0.225]
    IMAGE_TYPE: "rgb"
    NUM_CLASSES: 1
    CHANNELS : 3
    PRE_PROCESSOR: "DetectionPreProcessor"
    PREDICTOR_MODE: "ANALYSIS"
    BATCH_SIZE : 1 
    RESIZE_MAX_SIZE: 1333
    FEEDS_SIZE: 3
    COARSEST_STRIDE: 32
    USE_TRT : 0
    TRT_MODE : FP32