Chengfang Lu
7c43b44c57
Huaxu Sentinel Active Safety Platform with embedded algorithm code, Docker Compose setup, and vendored dataset scaffolds for clone-and-run. Co-authored-by: Cursor <cursoragent@cursor.com>
45 lines
931 B
Python
Executable File
45 lines
931 B
Python
Executable File
# DATA
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dataset = 'Tusimple'
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# data_root = 'C:\\data\\Tusimple\\test_set'
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# data_root = 'C:\\data\\anno\\324lane'
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# data_root = 'C:\\data\\Tusimple\\train_set'
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data_root = '/data/panh28/yk_syj/data/train_0306'
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# TRAIN
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epoch = 600
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batch_size = 64
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optimizer = 'Adam' #['SGD','Adam']
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# learning_rate = 0.1
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learning_rate = 1e-5
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weight_decay = 1e-4
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momentum = 0.9
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scheduler = 'cos' #['multi', 'cos']
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# steps = [50,75]
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gamma = 0.1
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warmup = 'linear'
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warmup_iters = 100
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# NETWORK
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backbone = '34'
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griding_num = 100
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use_aux = False
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# LOSS
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sim_loss_w = 1.0
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shp_loss_w = 0.0
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# EXP
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note = 'lane_res34_2ch_syj_0906_minilearn'
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log_path = './log'
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# FINETUNE or RESUME MODEL PATH
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finetune = None
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resume = "/data/panh28/yk_syj/code/UFLD/log/20230906_161808_lr_1e-04_b_64lane_res34_2ch_syj_0906/ep068.pth"
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# TESTNone
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test_model = './model/lane_m599_all.pth'
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# test_model = './model/tusimple_18.pth'
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test_work_dir = './tmp'
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num_lanes = 2
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