56 lines
1.7 KiB
TOML
56 lines
1.7 KiB
TOML
[parse]
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net_name = "Yolov8n"
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framework = "pytorch"
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frame_version = "1.9"
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inputs = [1, 640, 640, 3]
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inputs_layout = "NHWC"
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pre_method = "resize"
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pre_scale = [255.0, 255.0, 255.0]
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pre_mean = [0.0, 0.0, 0.0]
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channel_swap = [0, 1, 2]
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network = "fmodel/yolov8n_640x640.pt"
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jr_path = "../3_deploy/modelzoo/yolov8/imodel/16/"
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[optimize]
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target = "BUYI"
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json = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_parsed.json"
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raw = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_parsed.raw"
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jr_path = "../3_deploy/modelzoo/yolov8/imodel/16/"
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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/coco"
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forward_list = "./qtset/coco.txt "
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batch = 1
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bits = 16
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json = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_optimized.json"
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raw = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_optimized.raw"
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jr_path = "../3_deploy/modelzoo/yolov8/imodel/16/"
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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/yolov8/imodel/16/yolov8n_quantized.json"
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raw = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_quantized.raw"
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jr_path = "../3_deploy/modelzoo/yolov8/imodel/16/"
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pass_on = "customop.ImageMakePass,customop.DetPostPass"
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custom_config = "config/customop/yolov8.toml"
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[generate]
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json = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_adapted.json"
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raw = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_adapted.raw"
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jr_path = "../3_deploy/modelzoo/yolov8/imodel/16/"
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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/yolov8/imodel/16/yolov8n_BY.json"
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raw = "../3_deploy/modelzoo/yolov8/imodel/16/yolov8n_BY.raw"
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input = "./qtset/coco/bus.jpg"
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log_path = "./logs/"
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