#######################################################################
# IMPORTANT! ISENTRY_PATH TO SAVE THE SETTINGS FILE and LEARNING DATA.
ISENTRY_PATH=/home/user/Intelex
#######################################################################

######### set docker runtime, commented out if not using nvidia ##########
DOCKER_RUNTIME=nvidia
#######################################################################

# FIREFLY VERSION
FIREFLY_VER=comintelexvision/firefly-server:2025R3

FIREFLY_MODEL_base=comintelexvision/sentry-model:default-2025R3

# FIREFLY_MODEL
# choose one of those 
# comintelexvision/sentry-model:openvino-2025R3 for openvino
# comintelexvision/sentry-model:nv-2025R3 for nvidia
# nvidia is default
FIREFLY_MODEL=comintelexvision/sentry-model:nv-2025R3


# WEB SETTINGS VERSION
API_VER=comintelexvision/firefly-websettings:2025R3

# SOME EXTRA FLAG 0: DISABLE, 1: ENABLED

## ENABLE HTTPS MODE
IV_ENABLE_HTTPS_API=0

# ENABLE WEB SETTINGS LOGIN. IF ENABLED, MAKE SURE PORT 8124 IS ENABLED IN DOCKER-COMPOSE.YML FILE
IV_ENABLED_WEB_LOGIN=0 

# RUN MODEL OPTIMIZER ONLY - REQUIRE FOR NVIDIA ====================================================

#ENABLED_MODEL_OPTIMIZER=1

## use keyword to add model
IV_DETECTOR="objcl ppe weapon-pose fire fall fighting"

# OBJECT_DETECTION_COLOR:     objcl
# FACE_DETECTION:             face
# HELMET_DETECTION:           helmet
# COLOR_CLASSIFICATION:       carcolor
# FIRE_N_THINGS_DETECTION:    fire
# FACE_MASK_COMPLIANCE:       facemask
# ALL_IN_ONE:                 allinone
# OBJECT_DETECTION_GRAYSCALE: objcl.gray
# POSE_VERIFICATION:          pose
# ACTION_RECOGNITION:         action
# PPE_DETECTION:              ppe
# WHEELCHAIR_DETECTION:       wheelchair
# HOSPITAL_BED_DETECTION:     hospbed
# WEAPON_DETECTION:           weapon
# ONE_HAND_RAISED:            handraised
# OBJECT_DETECTION_TOPDOWN:   topdown
# CROWD:                      crowd
# FIGHTING_DETECTION:         fighting
# FALL_DETECTION:             fall
# WEAPON_POSE_DETECTION       weapon-pose


# list used deep learning mode here, separated by a space " ". bal: BALANCE, acc: ACCURACU, sft: SUPERFAST, spd: SPEED, hacc: high accuracy
MO_DL_MODE="bal spd"

#====================================================================================================
