54 lines
1.8 KiB
TOML
54 lines
1.8 KiB
TOML
[parse]
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net_name = "bytetrack"
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framework = "pytorch"
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inputs = [ 1, 608, 1088, 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/bytetrack_s_608x1088_traced.pt"
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jr_path = "../3_deploy/modelzoo/bytetrack/imodel/8/"
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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/bytetrack/imodel/8/bytetrack_parsed.json"
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raw = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_parsed.raw"
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jr_path = "../3_deploy/modelzoo/bytetrack/imodel/8/"
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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/mot17-08"
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forward_list = "./qtset/mot17-08.txt"
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bits = 8
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json = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_optimized.json"
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raw = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_optimized.raw"
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jr_path = "../3_deploy/modelzoo/bytetrack/imodel/8/"
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per = "tensor"
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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/bytetrack/imodel/8/bytetrack_quantized.json"
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raw = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_quantized.raw"
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jr_path = "../3_deploy/modelzoo/bytetrack/imodel/8/"
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pass_on = "customop.ImageMakePass,customop.DetPostPass"
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custom_config = "config/customop/bytetrack.toml"
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[generate]
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json = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_adapted.json"
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raw = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_adapted.raw"
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jr_path = "../3_deploy/modelzoo/bytetrack/imodel/8/"
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log_path = "./logs/"
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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/bytetrack/imodel/8/bytetrack_BY.json"
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raw = "../3_deploy/modelzoo/bytetrack/imodel/8/bytetrack_BY.raw"
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input = "./qtset/mot17-08/000001.jpg"
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log_path = "./logs/"
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