mdz/pytorch/yolov8_pose/2_compile/config/yolov8s-pose-deploy-8-mix.toml

57 lines
1.9 KiB
TOML

[parse]
net_name = "yolov8s-pose"
framework = "pytorch"
inputs = [ 1, 640, 640, 3]
inputs_layout = "NHWC"
pre_method = "resize"
pre_scale = [ 255, 255, 255]
pre_mean = [ 0, 0, 0]
channel_swap = [ 0,1,2]
network = "fmodel/yolov8s-pose-640x640.pt"
jr_path = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/"
frame_version = "1.9"
[optimize]
target = "BUYI"
json = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_parsed.json"
raw = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_parsed.raw"
jr_path = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/"
[quantize]
forward_mode = "image"
saturation = "kld"
forward_dir = "./qtset/coco"
forward_list = "./qtset/coco.txt"
bits = 8
json = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_optimized.json"
raw = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_optimized.raw"
jr_path = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/"
per = "channel"
target = "buyi"
mix_precision = "auto"
[adapt]
target = "BUYI"
json = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_quantized.json"
raw = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_quantized.raw"
jr_path = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/"
pass_on = "customop.ImageMakePass,customop.DetPostPass"
custom_config = "config/customop/yolov8-pose.toml"
[generate]
json = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_adapted.json"
raw = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_adapted.raw"
jr_path = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/"
log_path = "./logs/"
[simulate]
log_time = true
log_io = true
dump_ftmp = "SFB"
show = true
json = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_BY.json"
raw = "../3_deploy/modelzoo/yolov8_pose/imodel/mix8/yolov8s-pose_BY.raw"
image = "./qtset/bus640.jpg"
target = "BUYI"
log_path = "./logs/"