英文:
CVAT REST API to upload files
问题
我能够使用下面的代码在CVAT的现有项目中创建一个任务，但无法上传文件，即使我尝试引用此链接：https://github.com/opencv/cvat/issues/4704
任何建议将不胜感激！
import requests# 创建项目（这部分代码有效）link = 'http://xx.x.xxx.xx:8080/api/tasks'd = {"name": "ABC","project_id": 3}Header = {"X-Organization": "ABC_labelling"}r = requests.post(link, data=d, headers=Header, auth=('username','pw'))r.json
# 上传文件（这部分代码无效）task_id = 8link = 'http://xx.x.xxx.xx:8080/api/tasks/{task_id}/data/'files = ['/Users/username/Documents/images/abc001.tif','/Users/username/Documents/images/abc002.tif']Header = {"X-Organization": "ABC_labelling","Upload-Start": "true","Upload-Finish": "true"}d = {"image-quality": 70,"server_files": files}r = requests.post(link, data=d, headers=Header, auth=('username','pw'))
英文:
I am able to create a Task in an existing project in CVAT using the below code, but I am unable to upload files, even if I try to reference this link here: https://github.com/opencv/cvat/issues/4704
Any advice would be greatly appreciated please!
import requests# to create project (this works)link = 'http://xx.x.xxx.xx:8080/api/tasks'd = {"name": "ABC","project_id": 3}Header = {"X-Organization":"ABC_labelling"}r = requests.post(link, data=d, headers=Header, auth=('username','pw'))r.json
# to upload file (doesn't work)task_id = 8link = 'http://xx.x.xxx.xx:8080/api/tasks/{task_id}/data/'files = ['/Users/username/Documents/images/abc001.tif','/Users/username/Documents/images/abc002.tif']Header = {"X-Organization":"ABC_labelling","Upload-Start":"true","Upload-Finish":"true"}d = {"image-quality": 70,"server_files": files}r = requests.post(link, data=d, headers=Header, auth=('username','pw'))
答案1
得分: 1
虽然对我来说有时候有些小问题，但Voxel51是实现这一目标的最简单方式。
# 用于此运行的唯一标识符import fiftyone as fo# 仅需CVAT密码和用户名assert os.environ['FIFTYONE_CVAT_URL'], '设置FIFTYONE_CVAT_URL环境变量'assert os.environ['FIFTYONE_CVAT_PASSWORD'], '设置FIFTYONE_CVAT_PASSWORD环境变量'dataset = fo.Dataset.from_dir(dataset_dir=<coco-dir-path>,dataset_type=fo.types.COCODetectionDataset,)dataset.name = "example_task_name"anno_key = 'something_voxel51_uses'dataset.annotate(anno_key,label_field="ground_truth",attributes=["iscrowd"],launch_editor=True,classes=['car','truck','person'],)
可能会遗漏一些细节，但CVAT Api 使用起来很痛苦，而Voxel51的设计要简单得多。
英文:
While it's sometimes a bit buggy for me. Voxel51 is by far the easiest way to achieve this.
# A unique identifier for this runimport fiftyone as fo# Just the CVAT password and usernameassert os.environ['FIFTYONE_CVAT_URL'], 'Set FIFTYONE_CVAT_URL env var'assert os.environ['FIFTYONE_CVAT_PASSWORD'], 'Set FIFTYONE_CVAT_PASSWORD env var'dataset = fo.Dataset.from_dir(dataset_dir=<coco-dir-path>,dataset_type=fo.types.COCODetectionDataset,)dataset.name = "example_task_name"anno_key = 'something_voxel51_uses'dataset.annotate(anno_key,label_field="ground_truth",attributes=["iscrowd"],launch_editor=True,classes=['car','truck','person'],)
I may be missing some detail but the CVAT Api is a pain to use, while the voxel51 design is much simpler.
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