55 lines
1.9 KiB
TOML
55 lines
1.9 KiB
TOML
[parse]
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net_name = "PolyLaneNet"
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framework = "pytorch"
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frame_version = "1.9"
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inputs = [1,360,640,3]
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inputs_layout = "NHWC"
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pre_method = "resize"
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pre_scale = [ 58.395, 57.12, 57.375]
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pre_mean = [123.675, 116.28, 103.53]
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channel_swap =[0, 1, 2]
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network = "./fmodel/PolyLaneNet_360x640.pt"
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jr_path = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_parsed.json"
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raw = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_parsed.raw"
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jr_path = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/"
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[quantize]
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forward_mode = "image"
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saturation = "kld"
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forward_dir = "./qtset/tuSimple"
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forward_list = "./qtset/tuSimple.txt"
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batch = 1
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bits = 8
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json = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_optimized.json"
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raw = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_optimized.raw"
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jr_path = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/"
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per = "channel"
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target = "buyi"
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mix_precision= "./qtset/PolyLaneNet_mix_config.csv"
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[adapt]
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target = "BUYI"
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json = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_quantized.json"
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raw = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_quantized.raw"
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jr_path = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/"
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pass_on = "customop.ImageMakePass"
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custom_config = "config/customop/PolyLaneNet.toml"
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[generate]
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json = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_adapted.json"
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raw = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_adapted.raw"
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jr_path = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/"
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[run]
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log_time = true
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log_io = true
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dump_format = "SFB"
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json = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_BY.json"
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raw = "../3_deploy/modelzoo/PolyLaneNet/imodel/mix/PolyLaneNet_BY.raw"
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input = "./qtset/tuSimple/10.jpg"
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backends = "BY,socket://ql100aiu@192.168.125.184:9981?npu=0x40000000&dma=0x80000000;Host"
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