Move assets to vite public folder (#152)

Closes: #151

Models and samples are now properly structured in the vite public folder so they are properly automatically incorporated into the the builds and work with both builds and dev tests.

Reviewed-on: #152
This commit is contained in:
2024-03-26 20:23:33 -07:00
parent 42faae18eb
commit 596c28a880
41 changed files with 21 additions and 23 deletions

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{
"version": "0.0.0-n1",
"region": "Coco",
"size": 640,
"epochs": 1000,
"name": "coco128 test",
"yolo-version": "8.1.20 docker",
"date": "2024-03-12",
"export": "coco128.yaml"
}

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description: Ultralytics best model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco128.yaml
author: Ultralytics
license: AGPL-3.0 https://ultralytics.com/license
date: '2024-03-12T16:25:00.089873'
version: 8.1.20
stride: 32
task: detect
batch: 1
imgsz:
- 640
- 640
names:
0: person
1: bicycle
2: car
3: motorcycle
4: airplane
5: bus
6: train
7: truck
8: boat
9: traffic light
10: fire hydrant
11: stop sign
12: parking meter
13: bench
14: bird
15: cat
16: dog
17: horse
18: sheep
19: cow
20: elephant
21: bear
22: zebra
23: giraffe
24: backpack
25: umbrella
26: handbag
27: tie
28: suitcase
29: frisbee
30: skis
31: snowboard
32: sports ball
33: kite
34: baseball bat
35: baseball glove
36: skateboard
37: surfboard
38: tennis racket
39: bottle
40: wine glass
41: cup
42: fork
43: knife
44: spoon
45: bowl
46: banana
47: apple
48: sandwich
49: orange
50: broccoli
51: carrot
52: hot dog
53: pizza
54: donut
55: cake
56: chair
57: couch
58: potted plant
59: bed
60: dining table
61: toilet
62: tv
63: laptop
64: mouse
65: remote
66: keyboard
67: cell phone
68: microwave
69: oven
70: toaster
71: sink
72: refrigerator
73: book
74: clock
75: vase
76: scissors
77: teddy bear
78: hair drier
79: toothbrush

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[
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"backpack",
"umbrella",
"handbag",
"tie",
"suitcase",
"frisbee",
"skis",
"snowboard",
"sports ball",
"kite",
"baseball bat",
"baseball glove",
"skateboard",
"surfboard",
"tennis racket",
"bottle",
"wine glass",
"cup",
"fork",
"knife",
"spoon",
"bowl",
"banana",
"apple",
"sandwich",
"orange",
"broccoli",
"carrot",
"hot dog",
"pizza",
"donut",
"cake",
"chair",
"couch",
"potted plant",
"bed",
"dining table",
"toilet",
"tv",
"laptop",
"mouse",
"remote",
"keyboard",
"cell phone",
"microwave",
"oven",
"toaster",
"sink",
"refrigerator",
"book",
"clock",
"vase",
"scissors",
"teddy bear",
"hair drier",
"toothbrush"
]

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{
"version": "0.0.0-n1",
"region": "Coco",
"size": 640,
"epochs": 1000,
"name": "coco128 test",
"yolo-version": "8.1.20 docker",
"date": "2024-03-12",
"export": "coco128.yaml"
}

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description: Ultralytics best model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco128.yaml
author: Ultralytics
license: AGPL-3.0 https://ultralytics.com/license
date: '2024-03-12T16:25:00.089873'
version: 8.1.20
stride: 32
task: detect
batch: 1
imgsz:
- 640
- 640
names:
0: person
1: bicycle
2: car
3: motorcycle
4: airplane
5: bus
6: train
7: truck
8: boat
9: traffic light
10: fire hydrant
11: stop sign
12: parking meter
13: bench
14: bird
15: cat
16: dog
17: horse
18: sheep
19: cow
20: elephant
21: bear
22: zebra
23: giraffe
24: backpack
25: umbrella
26: handbag
27: tie
28: suitcase
29: frisbee
30: skis
31: snowboard
32: sports ball
33: kite
34: baseball bat
35: baseball glove
36: skateboard
37: surfboard
38: tennis racket
39: bottle
40: wine glass
41: cup
42: fork
43: knife
44: spoon
45: bowl
46: banana
47: apple
48: sandwich
49: orange
50: broccoli
51: carrot
52: hot dog
53: pizza
54: donut
55: cake
56: chair
57: couch
58: potted plant
59: bed
60: dining table
61: toilet
62: tv
63: laptop
64: mouse
65: remote
66: keyboard
67: cell phone
68: microwave
69: oven
70: toaster
71: sink
72: refrigerator
73: book
74: clock
75: vase
76: scissors
77: teddy bear
78: hair drier
79: toothbrush

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{
"version": "0.1.0-n4",
"region": "Thorax",
"size": 640,
"epochs": 1000,
"name": "nano4",
"yolo-version": "8.1.20 docker",
"date": "2024-03-08",
"export": "0.1.0-th"
}

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description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
author: Ultralytics
license: AGPL-3.0 https://ultralytics.com/license
date: '2024-03-08T20:14:34.118186'
version: 8.1.20
stride: 32
task: detect
batch: 1
imgsz:
- 640
- 640
names:
0: Abdominal diaphragm
1: Aorta
2: Azygous vein
3: Brachiocephalic trunk
4: Caudal vena cava
5: Cranial vena cava
6: Esophagus
7: External abdominal oblique
8: Iliocostalis
9: Latissimus dorsi
10: Left atrium
11: Left auricle
12: Left lung
13: Left subclavian artery
14: Left ventricle
15: Longissimus
16: Pectoralis profundus
17: Pectoralis superficialis
18: Pericardium
19: Phrenic nerve
20: Primary bronchus
21: Pulmonary artery
22: Pulmonary trunk
23: Pulmonary vein
24: Rectus abdominis
25: Rectus thoracis
26: Recurrent laryngeal nerve
27: Rhomboideus
28: Right atrium
29: Right auricle
30: Right lung
31: Right ventricle
32: Scalenus
33: Serratus dorsalis caudalis
34: Serratus dorsalis cranialis
35: Serratus ventralis
36: Spinalis
37: Sympathetic chain
38: Trachea
39: Trapezius
40: Vagus nerve

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[
"Abdominal diaphragm",
"Aorta",
"Azygous vein",
"Brachiocephalic trunk",
"Caudal vena cava",
"Cranial vena cava",
"Esophagus",
"External abdominal oblique",
"Iliocostalis",
"Latissimus dorsi",
"Left atrium",
"Left auricle",
"Left lung",
"Left subclavian artery",
"Left ventricle",
"Longissimus",
"Pectoralis profundus",
"Pectoralis superficialis",
"Pericardium",
"Phrenic nerve",
"Primary bronchus",
"Pulmonary artery",
"Pulmonary trunk",
"Pulmonary vein",
"Rectus abdominis",
"Rectus thoracis",
"Recurrent laryngeal nerve",
"Rhomboideus",
"Right atrium",
"Right auricle",
"Right lung",
"Right ventricle",
"Scalenus",
"Serratus dorsalis caudalis",
"Serratus dorsalis cranialis",
"Serratus ventralis",
"Spinalis",
"Sympathetic chain",
"Trachea",
"Trapezius",
"Vagus nerve"
]

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{
"version": "0.1.0-s1",
"region": "Thorax",
"size": 640,
"epochs": 1000,
"name": "small1",
"yolo-version": "8.1.20 docker",
"date": "2024-03-07",
"export": "0.1.0-th"
}

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description: Ultralytics best model trained on /data/ALVINN/Thorax/Thorax 0.1.0/thorax.yaml
author: Ultralytics
license: AGPL-3.0 https://ultralytics.com/license
date: '2024-03-07T16:03:03.296997'
version: 8.1.20
stride: 32
task: detect
batch: 1
imgsz:
- 640
- 640
names:
0: Abdominal diaphragm
1: Aorta
2: Azygous vein
3: Brachiocephalic trunk
4: Caudal vena cava
5: Cranial vena cava
6: Esophagus
7: External abdominal oblique
8: Iliocostalis
9: Latissimus dorsi
10: Left atrium
11: Left auricle
12: Left lung
13: Left subclavian artery
14: Left ventricle
15: Longissimus
16: Pectoralis profundus
17: Pectoralis superficialis
18: Pericardium
19: Phrenic nerve
20: Primary bronchus
21: Pulmonary artery
22: Pulmonary trunk
23: Pulmonary vein
24: Rectus abdominis
25: Rectus thoracis
26: Recurrent laryngeal nerve
27: Rhomboideus
28: Right atrium
29: Right auricle
30: Right lung
31: Right ventricle
32: Scalenus
33: Serratus dorsalis caudalis
34: Serratus dorsalis cranialis
35: Serratus ventralis
36: Spinalis
37: Sympathetic chain
38: Trachea
39: Trapezius
40: Vagus nerve

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