61 lines
2.0 KiB
TOML
61 lines
2.0 KiB
TOML
[parse]
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net_name = "DDRNet_SegPost"
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framework = "pytorch"
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inputs = [ 1, 1024, 2048, 3]
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inputs_layout = "NHWC"
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pre_method = "resize"
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#post_method = "nop"
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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/DDRNet_1024x2048_traced.pt"
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jr_path = "../3_deploy/modelzoo/DDRNet/imodel/segpost/"
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frame_version = "1.9"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_parsed.json"
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raw = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_parsed.raw"
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jr_path = "../3_deploy/modelzoo/DDRNet/imodel/segpost/"
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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/cityscapes"
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forward_list = "./qtset/cityscapes.txt"
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bits = 8
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json = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_optimized.json"
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raw = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_optimized.raw"
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jr_path = "../3_deploy/modelzoo/DDRNet/imodel/segpost/"
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per = "channel"
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target = "buyi"
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[adapt]
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target = "BUYI"
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json = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_quantized.json"
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raw = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_quantized.raw"
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jr_path = "../3_deploy/modelzoo/DDRNet/imodel/segpost/"
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pass_on = "customop.ImageMakePass,customop.SegPostPass"
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custom_config = "config/customop/DDRNet.toml"
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[generate]
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json = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_adapted.json"
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raw = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_adapted.raw"
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jr_path = "../3_deploy/modelzoo/DDRNet/imodel/segpost/"
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# rows = "2"
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# cols = "2"
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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/DDRNet/imodel/segpost/DDRNet_SegPost_BY.json"
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raw = "../3_deploy/modelzoo/DDRNet/imodel/segpost/DDRNet_SegPost_BY.raw"
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input = "./qtset/cityscapes/frankfurt_000000_000294_leftImg8bit.png"
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# backends = "BY,socket://ql100aiu@192.168.125.237:9981?npu=0x40000000&dma=0x80000000;Host"
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log_path = "./logs/"
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