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feat(model): upload model pretrained weight for people to test.
setup lib with wx permission. model weight check issue: #14
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model_path: 'log/mmfn_vec' | ||
model_path: 'log/vec_1deaeqqx' | ||
town: null | ||
route_id: null | ||
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# please remember to change this!!! TODO or will change by modi | ||
absolute_path: '/home/kin/mmfn' | ||
carla_sh_path: '/home/kin/CARLA_0.9.10.1/CarlaUE4.sh' | ||
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host: 'localhost' | ||
port: 2000 | ||
trafficManagerPort: 0 | ||
if_open_carla: True # if not pls check the port is correct | ||
record: '' | ||
repetitions: 1 | ||
resume: False | ||
checkpoint: None | ||
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# Seed used by the TrafficManager (default: 0) | ||
trafficManagerSeed: 0 | ||
timeout: 20000 | ||
no_rendering: False | ||
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# ============== for all route test=============== # | ||
debug: False | ||
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# only for debug ===> or just test the agent | ||
routes: 'leaderboard/data/only_one_town.xml' | ||
# towns: ['Town01', 'Town03', 'Town06', 'Town07'] | ||
# towns: ['Town02', 'Town04', 'Town05', 'Town10'] | ||
# routes: 'leaderboard/data/training_routes/' | ||
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scenarios: 'leaderboard/data/all_towns_traffic_scenarios.json' | ||
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track: 'MAP' # 'SENSORS' | ||
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# ====================== Expert Agent ========================= # | ||
# agent: 'team_code/expert_agent/human_agent.py' | ||
# agent: 'team_code/expert_agent/auto_pilot.py' | ||
# agent: 'team_code/expert_agent/mmfn_pilot.py' | ||
# defaults: | ||
# - agent_config: expert | ||
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# agent: 'team_code/expert_agent/mmfn_ppilot.py' | ||
# defaults: | ||
# - agent_config: force_expert | ||
# ====================== E2E Agent ========================= # | ||
# agent: 'team_code/e2e_agent/mmfn_radar.py' | ||
agent: 'team_code/e2e_agent/mmfn_vectornet.py' | ||
# agent: 'team_code/e2e_agent/mmfn_imgnet.py' | ||
defaults: | ||
- agent_config: e2e # pls name the model as 'best_model.pth' |
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