返回数据集列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" "name-descending" "name-ascending" 可选的排序方式 |
name | string <= 5000 个字符 .* 可选的名称过滤器 |
format | string Enum: "kitti" "pascal_voc" "raw" "coco_raw" "unet" "coco" "lprnet" "train" "test" "default" "custom" "classification_pyt" "classification_tf2" "visual_changenet_segment" "visual_changenet_classify" 可选的格式过滤器 |
type | string Enum: "object_detection" "semantic_segmentation" "image_classification" "instance_segmentation" "character_recognition" "action_recognition" "pointpillars" "pose_classification" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "re_identification" "visual_changenet" "centerpose" 可选的类型过滤器 |
{- "datasets": [
- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
], - "pagination_info": {
- "page_size": 9223372036854776000,
- "total_pages": 9223372036854776000,
- "total_records": 9223372036854776000,
- "page_index": 9223372036854776000
}
}
返回新的数据集
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
新数据集的初始元数据(需要类型和格式)
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
object | |
version | string <regex> <= 10 个字符 |
logo | string <url> <= 2048 个字符 |
type | string Enum: "object_detection" "semantic_segmentation" "image_classification" "instance_segmentation" "character_recognition" "action_recognition" "pointpillars" "pose_classification" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "re_identification" "visual_changenet" "centerpose" "not_restricted" "user_custom" |
format | string Enum: "kitti" "pascal_voc" "raw" "coco_raw" "unet" "coco" "lprnet" "train" "test" "default" "custom" "classification_pyt" "classification_tf2" "visual_changenet_segment" "visual_changenet_classify" "monai" |
workspace | string or null <uuid> <= 36 个字符 |
url | string <url> <= 2048 个字符 |
cloud_file_path | string or null <regex> <= 2048 个字符 |
client_url | string or null <regex> <= 2048 个字符 |
client_id | string or null <regex> <= 2048 个字符 |
client_secret | string or null <regex> <= 2048 个字符 |
filters | string or null <regex> <= 2048 个字符 |
status | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
use_for | Array of strings or null <= 3 items Enum: "training" "evaluation" "testing" |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "client_url": "/regex/",
- "client_id": "/regex/",
- "client_secret": "/regex/",
- "filters": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
返回数据集
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 要返回的数据集 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
取消所有相关的正在运行的作业并返回已删除的数据集
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 要删除的数据集 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
返回更新后的数据集
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 要更新的数据集 ID |
数据集的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
object | |
version | string <regex> <= 10 个字符 |
logo | string <url> <= 2048 个字符 |
type | string Enum: "object_detection" "semantic_segmentation" "image_classification" "instance_segmentation" "character_recognition" "action_recognition" "pointpillars" "pose_classification" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "re_identification" "visual_changenet" "centerpose" "not_restricted" "user_custom" |
format | string Enum: "kitti" "pascal_voc" "raw" "coco_raw" "unet" "coco" "lprnet" "train" "test" "default" "custom" "classification_pyt" "classification_tf2" "visual_changenet_segment" "visual_changenet_classify" "monai" |
workspace | string or null <uuid> <= 36 个字符 |
url | string <url> <= 2048 个字符 |
cloud_file_path | string or null <regex> <= 2048 个字符 |
client_url | string or null <regex> <= 2048 个字符 |
client_id | string or null <regex> <= 2048 个字符 |
client_secret | string or null <regex> <= 2048 个字符 |
filters | string or null <regex> <= 2048 个字符 |
status | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
use_for | Array of strings or null <= 3 items Enum: "training" "evaluation" "testing" |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "client_url": "/regex/",
- "client_id": "/regex/",
- "client_secret": "/regex/",
- "filters": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
返回更新后的数据集
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 要更新的数据集 ID |
数据集的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
object | |
version | string <regex> <= 10 个字符 |
logo | string <url> <= 2048 个字符 |
type | string Enum: "object_detection" "semantic_segmentation" "image_classification" "instance_segmentation" "character_recognition" "action_recognition" "pointpillars" "pose_classification" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "re_identification" "visual_changenet" "centerpose" "not_restricted" "user_custom" |
format | string Enum: "kitti" "pascal_voc" "raw" "coco_raw" "unet" "coco" "lprnet" "train" "test" "default" "custom" "classification_pyt" "classification_tf2" "visual_changenet_segment" "visual_changenet_classify" "monai" |
workspace | string or null <uuid> <= 36 个字符 |
url | string <url> <= 2048 个字符 |
cloud_file_path | string or null <regex> <= 2048 个字符 |
client_url | string or null <regex> <= 2048 个字符 |
client_id | string or null <regex> <= 2048 个字符 |
client_secret | string or null <regex> <= 2048 个字符 |
filters | string or null <regex> <= 2048 个字符 |
status | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
use_for | Array of strings or null <= 3 items Enum: "training" "evaluation" "testing" |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "client_url": "/regex/",
- "client_id": "/regex/",
- "client_secret": "/regex/",
- "filters": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "type": "object_detection",
- "format": "kitti",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "url": "string",
- "cloud_file_path": "/regex/",
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
}, - "client_url": "/regex/",
- "status": "starting",
- "use_for": [
- "training"
]
}
返回给定操作的规格模式
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 数据集的 ID |
action 必需 | string Enum: "dataset_convert" "convert" "convert_efficientdet_tf2" "kmeans" "augment" "train" "evaluate" "prune" "retrain" "export" "gen_trt_engine" "trtexec" "inference" "annotation" "analyze" "validate" "generate" "calibration_tensorfile" 操作名称 |
{ }
异步启动数据集操作并返回相应的作业 ID
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 数据集的 ID |
action | string Enum: "dataset_convert" "convert" "convert_efficientdet_tf2" "train" "evaluate" "prune" "retrain" "export" "gen_trt_engine" "trtexec" "inference" "batchinfer" "augment" "annotation_format_convert" "analyze" "validate" "generate" "calibration_tensorfile" "annotation" "nextimage" "cacheimage" "notify" "auto3dseg" |
parent_job_id | string or null <uuid> <= 36 个字符 |
name | string or null <regex> <= 500 个字符 |
description | string 或 null <regex> <= 1000 个字符 |
specs | any |
platform_id | string or null <uuid> <= 36 个字符 |
num_gpu | integer 或 null <int64> [ 0 .. 9223372036854776000 ] |
{- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
"497f6eca-6276-4993-bfeb-53cbbbba6f08"
返回 Jobs 列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <= 36 个字符 .* 数据集的 ID |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" 可选的排序方式 |
{- "jobs": [
- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
], - "pagination_info": {
- "page_size": 9223372036854776000,
- "total_pages": 9223372036854776000,
- "total_records": 9223372036854776000,
- "page_index": 9223372036854776000
}
}
返回 Job
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
dataset_id 必需 | string <uuid> <= 36 个字符 数据集 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "dataset_id": "8c4c51f1-f6f3-43bc-b65d-7415e8ef22c0"
}
返回 Experiments 列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" "name-descending" "name-ascending" 可选的排序方式 |
name | string <= 5000 个字符 .* 可选的名称过滤器 |
type | string Enum: "vision" "medical" 可选的类型过滤器 |
network_arch | string Enum: "detectnet_v2" "unet" "classification_tf2" "efficientdet_tf2" "action_recognition" "classification_pyt" "mal" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "pointpillars" "pose_classification" "re_identification" "deformable_detr" "dino" "segformer" "visual_changenet" "centerpose" 可选的网络架构过滤器 |
read_only | boolean 可选的只读过滤器 |
user_only | boolean 可选过滤器,仅选择用户拥有的 experiment |
tag | string <= 5000 个字符 .* 可选标签过滤器 |
{- "experiments": [
- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
], - "pagination_info": {
- "page_size": 9223372036854776000,
- "total_pages": 9223372036854776000,
- "total_records": 9223372036854776000,
- "page_index": 9223372036854776000
}
}
返回新的 Experiment
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
新 Experiment 的初始元数据 (需要 base_experiment 或 network_arch)
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
model_description | string <regex> <= 1000 个字符 |
version | string <regex> <= 500 个字符 |
logo | string <url> <= 2048 个字符 |
ngc_path | string <regex> <= 250 个字符 |
workspace | string or null <uuid> <= 36 个字符 |
sha256_digest | object 或 null |
base_experiment_pull_complete | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
additional_id_info | string 或 null <regex> <= 100 个字符 |
object | |
checkpoint_choose_method | string Enum: "latest_model" "best_model" "from_epoch_number" |
object | |
encryption_key | string <regex> <= 100 个字符 |
network_arch | string Enum: "detectnet_v2" "unet" "classification_tf2" "efficientdet_tf2" "action_recognition" "classification_pyt" "mal" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "pointpillars" "pose_classification" "re_identification" "deformable_detr" "dino" "segformer" "visual_changenet" "centerpose" "auto_label" "image" "monai_vista3d" "monai_vista2d" "monai_segmentation" "monai_annotation" "monai_classification" "monai_detection" "monai_automl" "monai_custom" "monai_genai" "monai_maisi" "monai_automl_generated" |
base_experiment | Array of strings <uuid> <= 2 项 [ items <uuid > <= 36 个字符 ] |
eval_dataset | string <uuid> <= 36 个字符 |
inference_dataset | string <uuid> <= 36 个字符 |
calibration_dataset | string <uuid> <= 36 个字符 |
train_datasets | Array of strings <uuid> <= 9223372036854776000 项 [ items <uuid > <= 36 个字符 ] |
read_only | boolean |
public | boolean |
object 或 null | |
metric | string 或 null <regex> <= 100 个字符 |
type | string Enum: "vision" "medical" |
realtime_infer | boolean |
model_params | object 或 null |
bundle_url | string 或 null <regex> <= 1000 个字符 |
realtime_infer_request_timeout | integer 或 null <int64> [ 0 .. 9223372036854776000 ] |
Array of objects 或 null <= 9223372036854776000 项 | |
tensorboard_enabled | boolean 或 null |
tags | Array of strings <regex> <= 16 项 [ items <regex > <= 36 个字符 ] |
retry_experiment_id | string or null <uuid> <= 36 个字符 |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "model_params": { },
- "bundle_url": "/regex/",
- "realtime_infer_request_timeout": 9223372036854776000,
- "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
], - "retry_experiment_id": "9156f81c-d614-4eaa-af09-2507d8dc3481"
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
返回 NGC 公共目录和私有组织模型注册表中发布的模型列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" "name-descending" "name-ascending" 可选的排序方式 |
name | string <= 5000 个字符 .* 可选的名称过滤器 |
type | string Enum: "vision" "medical" 可选的类型过滤器 |
network_arch | string Enum: "detectnet_v2" "unet" "classification_tf2" "efficientdet_tf2" "action_recognition" "classification_pyt" "mal" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "pointpillars" "pose_classification" "re_identification" "deformable_detr" "dino" "segformer" "visual_changenet" "centerpose" 可选的网络架构过滤器 |
read_only | boolean 可选的只读过滤器 |
{- "experiments": [
- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": null,
- "value": null
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
], - "pagination_info": {
- "page_size": 9223372036854776000,
- "total_pages": 9223372036854776000,
- "total_records": 9223372036854776000,
- "page_index": 9223372036854776000
}
}
返回 Experiment
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 要返回的 Experiment 的 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
取消所有相关的正在运行的 job 并返回已删除的 Experiment
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 要删除的 Experiment 的 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
返回更新后的 Experiment
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 要更新的 Experiment 的 ID |
Experiment 的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
model_description | string <regex> <= 1000 个字符 |
version | string <regex> <= 500 个字符 |
logo | string <url> <= 2048 个字符 |
ngc_path | string <regex> <= 250 个字符 |
workspace | string or null <uuid> <= 36 个字符 |
sha256_digest | object 或 null |
base_experiment_pull_complete | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
additional_id_info | string 或 null <regex> <= 100 个字符 |
object | |
checkpoint_choose_method | string Enum: "latest_model" "best_model" "from_epoch_number" |
object | |
encryption_key | string <regex> <= 100 个字符 |
network_arch | string Enum: "detectnet_v2" "unet" "classification_tf2" "efficientdet_tf2" "action_recognition" "classification_pyt" "mal" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "pointpillars" "pose_classification" "re_identification" "deformable_detr" "dino" "segformer" "visual_changenet" "centerpose" "auto_label" "image" "monai_vista3d" "monai_vista2d" "monai_segmentation" "monai_annotation" "monai_classification" "monai_detection" "monai_automl" "monai_custom" "monai_genai" "monai_maisi" "monai_automl_generated" |
base_experiment | Array of strings <uuid> <= 2 项 [ items <uuid > <= 36 个字符 ] |
eval_dataset | string <uuid> <= 36 个字符 |
inference_dataset | string <uuid> <= 36 个字符 |
calibration_dataset | string <uuid> <= 36 个字符 |
train_datasets | Array of strings <uuid> <= 9223372036854776000 项 [ items <uuid > <= 36 个字符 ] |
read_only | boolean |
public | boolean |
object 或 null | |
metric | string 或 null <regex> <= 100 个字符 |
type | string Enum: "vision" "medical" |
realtime_infer | boolean |
model_params | object 或 null |
bundle_url | string 或 null <regex> <= 1000 个字符 |
realtime_infer_request_timeout | integer 或 null <int64> [ 0 .. 9223372036854776000 ] |
Array of objects 或 null <= 9223372036854776000 项 | |
tensorboard_enabled | boolean 或 null |
tags | Array of strings <regex> <= 16 项 [ items <regex > <= 36 个字符 ] |
retry_experiment_id | string or null <uuid> <= 36 个字符 |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "model_params": { },
- "bundle_url": "/regex/",
- "realtime_infer_request_timeout": 9223372036854776000,
- "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
], - "retry_experiment_id": "9156f81c-d614-4eaa-af09-2507d8dc3481"
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
返回更新后的 Experiment
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 要更新的 Experiment 的 ID |
Experiment 的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
user_id | string <uuid> <= 36 个字符 |
description | string <regex> <= 1000 个字符 |
model_description | string <regex> <= 1000 个字符 |
version | string <regex> <= 500 个字符 |
logo | string <url> <= 2048 个字符 |
ngc_path | string <regex> <= 250 个字符 |
workspace | string or null <uuid> <= 36 个字符 |
sha256_digest | object 或 null |
base_experiment_pull_complete | string Enum: "starting" "in_progress" "pull_complete" "invalid_pull" |
additional_id_info | string 或 null <regex> <= 100 个字符 |
object | |
checkpoint_choose_method | string Enum: "latest_model" "best_model" "from_epoch_number" |
object | |
encryption_key | string <regex> <= 100 个字符 |
network_arch | string Enum: "detectnet_v2" "unet" "classification_tf2" "efficientdet_tf2" "action_recognition" "classification_pyt" "mal" "ml_recog" "ocdnet" "ocrnet" "optical_inspection" "pointpillars" "pose_classification" "re_identification" "deformable_detr" "dino" "segformer" "visual_changenet" "centerpose" "auto_label" "image" "monai_vista3d" "monai_vista2d" "monai_segmentation" "monai_annotation" "monai_classification" "monai_detection" "monai_automl" "monai_custom" "monai_genai" "monai_maisi" "monai_automl_generated" |
base_experiment | Array of strings <uuid> <= 2 项 [ items <uuid > <= 36 个字符 ] |
eval_dataset | string <uuid> <= 36 个字符 |
inference_dataset | string <uuid> <= 36 个字符 |
calibration_dataset | string <uuid> <= 36 个字符 |
train_datasets | Array of strings <uuid> <= 9223372036854776000 项 [ items <uuid > <= 36 个字符 ] |
read_only | boolean |
public | boolean |
object 或 null | |
metric | string 或 null <regex> <= 100 个字符 |
type | string Enum: "vision" "medical" |
realtime_infer | boolean |
model_params | object 或 null |
bundle_url | string 或 null <regex> <= 1000 个字符 |
realtime_infer_request_timeout | integer 或 null <int64> [ 0 .. 9223372036854776000 ] |
Array of objects 或 null <= 9223372036854776000 项 | |
tensorboard_enabled | boolean 或 null |
tags | Array of strings <regex> <= 16 项 [ items <regex > <= 36 个字符 ] |
retry_experiment_id | string or null <uuid> <= 36 个字符 |
{- "name": "/regex/",
- "shared": true,
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "docker_env_vars": {
- "property1": "/regex/",
- "property2": "/regex/"
}, - "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "model_params": { },
- "bundle_url": "/regex/",
- "realtime_infer_request_timeout": 9223372036854776000,
- "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
], - "retry_experiment_id": "9156f81c-d614-4eaa-af09-2507d8dc3481"
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "description": "/regex/",
- "model_description": "/regex/",
- "version": "/regex/",
- "logo": "string",
- "ngc_path": "/regex/",
- "workspace": "3f216741-15dd-4e46-b5ac-0077a2640e89",
- "sha256_digest": { },
- "base_experiment_pull_complete": "starting",
- "additional_id_info": "/regex/",
- "checkpoint_choose_method": "latest_model",
- "checkpoint_epoch_number": {
- "property1": 9223372036854776000,
- "property2": 9223372036854776000
}, - "encryption_key": "/regex/",
- "network_arch": "detectnet_v2",
- "base_experiment": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "dataset_type": "object_detection",
- "dataset_formats": [
- "kitti"
], - "accepted_dataset_intents": [
- "training"
], - "eval_dataset": "f06341d1-b6f7-4d94-99b1-6d57b5a471e6",
- "inference_dataset": "287bd7ed-1072-49bc-8d0c-261f29925b9f",
- "calibration_dataset": "06da9759-37ba-45ac-b600-dfa833bc04e5",
- "train_datasets": [
- "497f6eca-6276-4993-bfeb-53cbbbba6f08"
], - "read_only": true,
- "public": true,
- "actions": [
- "dataset_convert"
], - "jobs": {
- "property1": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}, - "property2": {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
}, - "all_jobs_cancel_status": "Done",
- "automl_settings": {
- "automl_enabled": true,
- "automl_algorithm": "bayesian",
- "automl_max_recommendations": 9223372036854776000,
- "automl_delete_intermediate_ckpt": true,
- "override_automl_disabled_params": true,
- "automl_R": 9223372036854776000,
- "automl_nu": 9223372036854776000,
- "epoch_multiplier": 9223372036854776000,
- "automl_add_hyperparameters": "/regex/",
- "automl_remove_hyperparameters": "/regex/"
}, - "metric": "/regex/",
- "type": "vision",
- "realtime_infer": true,
- "realtime_infer_support": true,
- "model_params": { },
- "realtime_infer_request_timeout": 86400,
- "bundle_url": "/regex/",
- "base_experiment_metadata": {
- "task": "/regex/",
- "domain": "/regex/",
- "backbone_type": "/regex/",
- "backbone_class": "/regex/",
- "num_parameters": "/regex/",
- "license": "/regex/",
- "model_card_link": "string",
- "is_backbone": true,
- "is_trainable": true,
- "spec_file_present": true
}, - "experiment_actions": [
- {
- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
], - "tensorboard_enabled": true,
- "tags": [
- "/regex/"
]
}
返回给定操作的规格模式
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
action 必需 | string Enum: "dataset_convert" "convert" "convert_efficientdet_tf2" "kmeans" "augment" "train" "evaluate" "prune" "retrain" "export" "gen_trt_engine" "trtexec" "inference" "annotation" "analyze" "validate" "generate" "calibration_tensorfile" 操作名称 |
{ }
返回基础 experiment 的给定操作的 Specs schema
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 基础 Experiment 的 ID |
action 必需 | string Enum: "train" "evaluate" "prune" "retrain" "export" "gen_trt_engine" "trtexec" "inference" "generate" 操作名称 |
{ }
异步启动 Experiment 操作并返回相应的 Job ID
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
action | string Enum: "dataset_convert" "convert" "convert_efficientdet_tf2" "train" "evaluate" "prune" "retrain" "export" "gen_trt_engine" "trtexec" "inference" "batchinfer" "augment" "annotation_format_convert" "analyze" "validate" "generate" "calibration_tensorfile" "annotation" "nextimage" "cacheimage" "notify" "auto3dseg" |
parent_job_id | string or null <uuid> <= 36 个字符 |
name | string or null <regex> <= 500 个字符 |
description | string 或 null <regex> <= 1000 个字符 |
specs | any |
platform_id | string or null <uuid> <= 36 个字符 |
num_gpu | integer 或 null <int64> [ 0 .. 9223372036854776000 ] |
{- "action": "dataset_convert",
- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "name": "/regex/",
- "description": "/regex/",
- "specs": null,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "num_gpu": 9223372036854776000
}
"497f6eca-6276-4993-bfeb-53cbbbba6f08"
返回 Jobs 列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <= 36 个字符 .* Experiment 的 ID |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" 可选的排序方式 |
{- "jobs": [
- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
], - "pagination_info": {
- "page_size": 9223372036854776000,
- "total_pages": 9223372036854776000,
- "total_records": 9223372036854776000,
- "page_index": 9223372036854776000
}
}
将模型发布到 NGC 私有注册表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job 的 ID |
team_name | string or null <regex> <= 500 个字符 |
display_name | string or null <regex> <= 500 个字符 |
description | string or null <regex> <= 500 个字符 |
{- "team_name": "/regex/",
- "display_name": "/regex/",
- "description": "/regex/"
}
"497f6eca-6276-4993-bfeb-53cbbbba6f08"
从 NGC 私有注册表移除模型
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job 的 ID |
team_name | string or null <regex> <= 500 个字符 |
display_name | string or null <regex> <= 500 个字符 |
description | string or null <regex> <= 500 个字符 |
{- "team_name": "/regex/",
- "display_name": "/regex/",
- "description": "/regex/"
}
"497f6eca-6276-4993-bfeb-53cbbbba6f08"
返回 Job
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "parent_id": "1c6ca187-e61f-4301-8dcb-0e9749e89eef",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "action": "dataset_convert",
- "status": "Done",
- "result": {
- "detailed_status": {
- "date": "string",
- "time": "string",
- "message": "/regex/",
- "status": "/regex/"
}, - "graphical": [
- {
- "metric": null,
- "x_min": -9223372036854776000,
- "x_max": -9223372036854776000,
- "y_min": 0,
- "y_max": 0,
- "values": {
- "property1": 0,
- "property2": 0
}, - "units": "/regex/"
}
], - "categorical": [
- {
- "metric": null,
- "category_wise_values": [
- {
- "category": "/regex/",
- "value": 0
}
]
}
], - "kpi": [
- {
- "metric": null,
- "values": { }
}
], - "automl_result": [
- {
- "metric": null,
- "value": 0
}
], - "stats": [
- {
- "metric": "/regex/",
- "value": "/regex/"
}
], - "starting_epoch": -1,
- "epoch": -1,
- "automl_experiment_epoch": -1,
- "max_epoch": 9223372036854776000,
- "automl_experiment_max_epoch": 9223372036854776000,
- "time_per_epoch": "/regex/",
- "time_per_iter": "/regex/",
- "cur_iter": 9223372036854776000,
- "eta": "/regex/",
- "key_metric": 0,
- "message": "/regex/"
}, - "sync": true,
- "specs": null,
- "name": "/regex/",
- "description": "/regex/",
- "num_gpu": 9223372036854776000,
- "platform_id": "f41a0584-7f4a-481e-9327-001efe2ebd2c",
- "experiment_id": "916afd89-cac5-4339-9c59-dd068abdfa69"
}
返回 job 日志
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job ID |
automl_experiment_index | integer <int32> [ 0 .. 2147483647 ] 可选过滤器,用于从特定的 autoML experiment 检索日志 |
Execution status: PASS
暂停 Experiment Job - 仅用于训练
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job 的 ID |
{- "error_desc": "/regex/",
- "error_code": -9223372036854776000
}
取消 Experiment Job 或暂停训练
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job 的 ID |
{- "error_desc": "/regex/",
- "error_code": -9223372036854776000
}
恢复实验作业 - 仅训练/重新训练
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
experiment_id 必需 | string <uuid> <= 36 个字符 Experiment 的 ID |
job_id 必需 | string <uuid> <= 36 个字符 Job 的 ID |
可调整的已恢复作业的元数据。
parent_job_id | string or null <uuid> <= 36 个字符 |
specs | 任意或空值 |
{- "parent_job_id": "dd63d5e7-6727-402c-8127-3fd32aa9072a",
- "specs": null
}
{- "error_desc": "/regex/",
- "error_code": -9223372036854776000
}
返回工作空间列表
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
skip | integer <int32> [ 0 .. 2147483647 ] 可选的跳过页码用于分页 |
size | integer <int32> [ 0 .. 2147483647 ] 可选的分页大小 |
sort | string Enum: "date-descending" "date-ascending" "name-descending" "name-ascending" 可选的排序方式 |
name | string <= 5000 个字符 .* 可选的名称过滤器 |
format | string 枚举: "monai" "unet" "custom" 可选的格式过滤器 |
type | string 枚举: "object_detection" "semantic_segmentation" "image_classification" 可选的类型过滤器 |
[- {
- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}
]
返回新的工作空间
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
新工作空间的初始元数据(需要类型和格式)
name | string <regex> <= 500 个字符 |
shared | boolean |
version | string <regex> <= 10 个字符 |
cloud_type | string 枚举: "aws" "azure" "gcp" "huggingface" "self_hosted" |
cloud_specific_details | any |
{- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws",
- "cloud_specific_details": null
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}
返回工作空间
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
workspace_id 必需 | string <uuid> <= 36 个字符 要返回的工作空间的 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}
取消所有相关的正在运行的作业并返回已删除的工作空间
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
workspace_id 必需 | string <uuid> <= 36 个字符 要删除的工作空间的 ID |
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}
返回更新后的工作空间
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
workspace_id 必需 | string <uuid> <= 36 个字符 要更新的工作空间的 ID |
工作空间的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
version | string <regex> <= 10 个字符 |
cloud_type | string 枚举: "aws" "azure" "gcp" "huggingface" "self_hosted" |
cloud_specific_details | any |
{- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws",
- "cloud_specific_details": null
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}
返回更新后的工作空间
org_name 必需 | string <= 255 个字符 ^[a-zA-Z0-9_-]+$ 组织名称 |
workspace_id 必需 | string <uuid> <= 36 个字符 要更新的工作空间的 ID |
工作空间的更新元数据
name | string <regex> <= 500 个字符 |
shared | boolean |
version | string <regex> <= 10 个字符 |
cloud_type | string 枚举: "aws" "azure" "gcp" "huggingface" "self_hosted" |
cloud_specific_details | any |
{- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws",
- "cloud_specific_details": null
}
{- "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
- "user_id": "a169451c-8525-4352-b8ca-070dd449a1a5",
- "created_on": "2019-08-24T14:15:22Z",
- "last_modified": "2019-08-24T14:15:22Z",
- "name": "/regex/",
- "shared": true,
- "version": "/regex/",
- "cloud_type": "aws"
}