Add real-time detection to camera stream #143
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src/models/abdomen-mini/descript.json
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src/models/abdomen-mini/descript.json
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{
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"version": "0.0.0-n1",
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"region": "Coco",
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"size": 640,
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"epochs": 1000,
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"name": "coco128 test",
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"yolo-version": "8.1.20 docker",
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"date": "2024-03-12",
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"export": "coco128.yaml"
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}
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src/models/abdomen-mini/group1-shard1of4.bin
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src/models/abdomen-mini/group1-shard1of4.bin
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src/models/abdomen-mini/group1-shard2of4.bin
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src/models/abdomen-mini/group1-shard3of4.bin
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src/models/abdomen-mini/group1-shard4of4.bin
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src/models/abdomen-mini/group1-shard4of4.bin
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src/models/abdomen-mini/metadata.yaml
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src/models/abdomen-mini/metadata.yaml
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description: Ultralytics best model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco128.yaml
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author: Ultralytics
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license: AGPL-3.0 https://ultralytics.com/license
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date: '2024-03-12T16:25:00.089873'
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version: 8.1.20
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stride: 32
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task: detect
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batch: 1
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imgsz:
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- 640
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- 640
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names:
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0: person
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1: bicycle
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2: car
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3: motorcycle
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4: airplane
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5: bus
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6: train
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7: truck
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8: boat
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9: traffic light
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10: fire hydrant
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11: stop sign
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12: parking meter
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13: bench
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14: bird
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15: cat
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16: dog
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17: horse
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18: sheep
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19: cow
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20: elephant
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21: bear
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22: zebra
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23: giraffe
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24: backpack
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25: umbrella
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26: handbag
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27: tie
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28: suitcase
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29: frisbee
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30: skis
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31: snowboard
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32: sports ball
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33: kite
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34: baseball bat
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35: baseball glove
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36: skateboard
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37: surfboard
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38: tennis racket
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39: bottle
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40: wine glass
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41: cup
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42: fork
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43: knife
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44: spoon
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45: bowl
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46: banana
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47: apple
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48: sandwich
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49: orange
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50: broccoli
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51: carrot
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52: hot dog
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53: pizza
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54: donut
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55: cake
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56: chair
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57: couch
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58: potted plant
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59: bed
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60: dining table
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61: toilet
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62: tv
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63: laptop
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64: mouse
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65: remote
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66: keyboard
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67: cell phone
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68: microwave
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69: oven
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70: toaster
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71: sink
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72: refrigerator
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73: book
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74: clock
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75: vase
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76: scissors
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77: teddy bear
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78: hair drier
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79: toothbrush
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src/models/abdomen-mini/model.json
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src/models/abdomen-mini/model.json
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src/models/abdomen/classes.json
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src/models/abdomen/classes.json
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[
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"person",
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"bicycle",
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"car",
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"motorcycle",
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"airplane",
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"bus",
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"train",
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"truck",
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"boat",
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"traffic light",
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"stop sign",
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"bench",
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"bird",
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"cat",
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"dog",
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"horse",
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"elephant",
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"bear",
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"zebra",
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"giraffe",
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"backpack",
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"umbrella",
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"handbag",
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"tie",
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"suitcase",
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"frisbee",
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"skis",
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"snowboard",
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"sports ball",
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"kite",
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"baseball bat",
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"baseball glove",
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"skateboard",
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"tennis racket",
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"bottle",
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"wine glass",
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"cup",
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"fork",
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"knife",
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"spoon",
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"bowl",
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"banana",
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"sandwich",
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"orange",
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"broccoli",
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"carrot",
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"hot dog",
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"pizza",
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"donut",
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"cake",
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"chair",
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"couch",
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"potted plant",
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"bed",
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"dining table",
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"toilet",
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"tv",
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"laptop",
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"mouse",
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"remote",
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"cell phone",
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"microwave",
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"oven",
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"sink",
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"refrigerator",
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"book",
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"clock",
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"vase",
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"scissors",
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"teddy bear",
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"toothbrush"
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]
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11
src/models/abdomen/descript.json
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11
src/models/abdomen/descript.json
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@@ -0,0 +1,11 @@
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{
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"version": "0.0.0-n1",
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"region": "Coco",
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"size": 640,
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"epochs": 1000,
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"name": "coco128 test",
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"yolo-version": "8.1.20 docker",
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"date": "2024-03-12",
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"export": "coco128.yaml"
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}
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BIN
src/models/abdomen/group1-shard1of4.bin
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src/models/abdomen/group1-shard1of4.bin
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src/models/abdomen/group1-shard2of4.bin
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src/models/abdomen/group1-shard2of4.bin
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src/models/abdomen/group1-shard3of4.bin
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src/models/abdomen/group1-shard3of4.bin
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src/models/abdomen/group1-shard4of4.bin
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src/models/abdomen/group1-shard4of4.bin
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92
src/models/abdomen/metadata.yaml
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92
src/models/abdomen/metadata.yaml
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@@ -0,0 +1,92 @@
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description: Ultralytics best model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco128.yaml
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author: Ultralytics
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license: AGPL-3.0 https://ultralytics.com/license
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date: '2024-03-12T16:25:00.089873'
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version: 8.1.20
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stride: 32
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task: detect
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batch: 1
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imgsz:
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- 640
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- 640
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names:
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0: person
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1: bicycle
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2: car
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3: motorcycle
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4: airplane
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5: bus
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6: train
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7: truck
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8: boat
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9: traffic light
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10: fire hydrant
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11: stop sign
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12: parking meter
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13: bench
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14: bird
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15: cat
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16: dog
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17: horse
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18: sheep
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19: cow
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20: elephant
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21: bear
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22: zebra
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23: giraffe
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24: backpack
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25: umbrella
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26: handbag
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27: tie
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28: suitcase
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29: frisbee
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30: skis
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31: snowboard
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32: sports ball
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33: kite
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34: baseball bat
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35: baseball glove
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36: skateboard
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37: surfboard
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38: tennis racket
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39: bottle
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40: wine glass
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41: cup
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42: fork
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43: knife
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44: spoon
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45: bowl
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46: banana
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47: apple
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48: sandwich
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49: orange
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50: broccoli
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51: carrot
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52: hot dog
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53: pizza
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54: donut
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55: cake
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56: chair
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57: couch
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58: potted plant
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59: bed
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60: dining table
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61: toilet
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62: tv
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63: laptop
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64: mouse
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65: remote
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66: keyboard
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67: cell phone
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68: microwave
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69: oven
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70: toaster
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71: sink
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72: refrigerator
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73: book
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74: clock
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75: vase
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76: scissors
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77: teddy bear
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78: hair drier
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79: toothbrush
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||||||
1
src/models/abdomen/model.json
Normal file
1
src/models/abdomen/model.json
Normal file
File diff suppressed because one or more lines are too long
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