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PCB_ObjectDetection

Object Detection
ultralytics
TensorBoard
pcb
yolov11
rt-detr
Model card Files
xet
 Metrics Community
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  2. README.md +39 -0
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README.md ADDED
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1
+ ---
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+ tags:
3
+ - object-detection
4
+ - pcb
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+ - yolov11
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+ - rt-detr
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+ - ultralytics
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+ ---
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+
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+ # PCB Object Detection Checkpoints
11
+
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+ PCB 缺陷目标检测训练结果与模型权重。
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+
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+ ## 包含的训练结果
15
+
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+ - RT-DETR：`rtdetr-AKConv`
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+ - YOLOv11：`yolo11n`、`yolo11s`、`yolo11m`、`yolo11L`、`yolo11x`
18
+
19
+ 每个训练目录保留了训练配置、指标、可视化结果及 `weights` 下的模型权重。
20
+
21
+ ## 目录结构
22
+
23
+ ```text
24
+ rt-detr/runs/train/rtdetr-AKConv/
25
+ yolov11/runs/train/yolo11n/
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+ yolov11/runs/train/yolo11s/
27
+ yolov11/runs/train/yolo11m/
28
+ yolov11/runs/train/yolo11L/
29
+ yolov11/runs/train/yolo11x/
30
+ ```
31
+
32
+ 权重文件包括 `best.pt`、`last.pt`，YOLOv11 目录还包含相应的 FP32 权重。
33
+
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+ ## 下载
35
+
36
+ ```powershell
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+ hf download jjhhjj/PCB_ObjectDetection --local-dir .\PCB_ObjectDetection
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+ ```
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+
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+ task: detect
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+ mode: train
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+ model: ultralytics/cfg/models/rt-detr/rtdetr-AKConv.yaml
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+ data: dataset/data.yaml
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+ epochs: 200
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+ patience: 0
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+ batch: 4
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ cache: false
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+ device: null
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+ workers: 4
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+ project: runs/train
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+ name: rtdetr-AKConv
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+ exist_ok: false
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+ pretrained: true
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+ optimizer: AdamW
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+ verbose: true
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+ seed: 0
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+ deterministic: true
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+ single_cls: false
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+ rect: false
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+ cos_lr: false
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+ close_mosaic: 0
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+ resume: false
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+ amp: false
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+ fraction: 1.0
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+ profile: false
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+ freeze: null
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+ overlap_mask: true
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+ mask_ratio: 4
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+ dropout: 0.0
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+ val: true
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+ split: val
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+ save_json: false
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+ save_hybrid: false
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+ conf: null
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+ iou: 0.7
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+ max_det: 300
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+ half: false
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+ dnn: false
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+ plots: true
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+ source: null
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+ show: false
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+ save_txt: false
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+ save_conf: false
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+ save_crop: false
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+ show_labels: true
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+ show_conf: true
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+ vid_stride: 1
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+ stream_buffer: false
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+ line_width: null
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+ visualize: false
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+ augment: false
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+ agnostic_nms: false
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+ classes: null
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+ retina_masks: false
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+ boxes: true
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+ format: torchscript
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+ keras: false
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+ optimize: false
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+ int8: false
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+ dynamic: false
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+ simplify: false
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+ opset: null
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+ workspace: 4
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+ nms: false
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+ lr0: 0.0001
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+ lrf: 1.0
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+ momentum: 0.9
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+ weight_decay: 0.0001
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+ warmup_epochs: 2000
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+ warmup_momentum: 0.8
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+ warmup_bias_lr: 0.1
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+ box: 7.5
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+ cls: 0.5
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+ dfl: 1.5
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+ pose: 12.0
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+ kobj: 1.0
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+ label_smoothing: 0.0
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+ nbs: 64
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+ fliplr: 0.5
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+ mosaic: 0.0
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+ mixup: 0.0
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+ copy_paste: 0.0
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+ cfg: null
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+ tracker: botsort.yaml
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+ save_dir: runs/train/rtdetr-AKConv
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+ task: detect
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+ mode: train
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+ model: ultralytics/cfg/models/11/yolo11.yaml
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+ data: dataset/data.yaml
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+ epochs: 200
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+ time: null
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+ patience: 100
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+ batch: 8
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ device: null
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+ workers: 4
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+ project: runs/train
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+ name: yolo11m
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+ exist_ok: false
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+ pretrained: true
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