Chengfang Lu
e72bc061c5
Major changes: - New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind - 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理 - Data catalog with charts (DMS/ADAS/Lane 3-tab view) - Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance - Audit enhancements: batch operations, rejection categories, Feishu notifications - Operation audit log (操作日志) - World model simulation studio (仿真工坊) - Dataset version management with snapshots and diff - ADAS 7-class dataset integration (138K images organized + compressed) - User management with Feishu integration and pagination - CRUD/search/filter on all pages, card layout redesign - PIL-optimized image overlay rendering - Auto-snapshot on build, in_review workflow stage - Removed embedded algorithm code (now in workspace)
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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