Add models/depth/yolo26x-depth/rk3588/int8
Browse files
.gitattributes
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@@ -135,3 +135,4 @@ models/obb/yolo26m-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -tex
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models/pose/yolo26m-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/depth/yolo26l-depth/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/segment/yolo26m-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/pose/yolo26m-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/depth/yolo26l-depth/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/segment/yolo26m-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/depth/yolo26x-depth/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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models/depth/yolo26x-depth/rk3588/int8/metadata.yaml
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description: Ultralytics YOLO26x-depth-log model trained on /home/rick/ultralytics_depth_anything/ultralytics/cfg/datasets/depth-mega-v11-imagenet-u7.yaml
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author: Ultralytics
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date: '2026-11-07T02:27:44.231334+00:00'
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version: 8.4.184
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license: AGPL-3.0 License (https://ultralytics.com/license)
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docs: https://docs.ultralytics.com
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stride: 32
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task: depth
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head: Depth
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batch: 1
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imgsz:
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- 384
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- 384
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names:
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0: depth
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args:
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data: null
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batch: 1
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fraction: 1.0
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quantize: null
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nms: null
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dynamic: false
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simplify: true
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opset: 19
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format: rknn
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precision: int8
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channels: 3
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end2end: false
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dense_resize: align_corners
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precision: int8
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head_precision: int8
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decode_precision: fp16
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fp16_decode_tensors: 4
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calibration_images: 128
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target_platform: rk3588
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coordinates: pixels
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preprocess: letterbox
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models/depth/yolo26x-depth/rk3588/int8/model.rknn
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a292857c464b6764905cc8bc2d9fc4e6a94fe9bb545b23a782bb8585b048523e
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size 59166738
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