Comments (2)
- Which component do you want to run from source code? We suggest only running one component from source code at once, and use docker compose to run all other dependent components, it will simple the developing process. For example, you can run backend component from source code, and using mysql, redis and minio running in docker compose, notice that you should connect these components using host binding ports. When you finish changing code, you can build an component image to replace the official one in docker compose.
- To create the default dataset, we need an default user, and this is the
admin
user, the password isroot@123
, but you can always register your own user. - When you run nginx out of docker compose, you should change each upstream's address to the local one. For mysql, redis and minio running in docker compose, you should use the host binding ports. For frontend and backend running from source code, you should use the localhost listening port, for backend it will be
http://localhost:8280/
if you following the backend README doc.
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thanks ,i have resolved this problem
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Related Issues (20)
- What is the Track Line for? HOT 1
- Upload dataset HOT 5
- 1GB Upload limit HOT 2
- Copy Feature v.09 HOT 11
- Cannot view or annotate the sample data after uploading HOT 2
- Request-URI Too Large HOT 3
- change docker image HOT 2
- Annotation on accumulation HOT 3
- Point cloud annotation HOT 7
- Seeking Detailed Information on the Model Architecture and Weight File Used in Basic AI for LiDAR-Camera Fusion Annotation HOT 2
- Status of Dataset does not change appropriately, when DataSet is composed of Scenes. HOT 2
- data_annotation_object table doesn't have model id column. HOT 4
- the bounding box of object is not parrell to ground HOT 2
- pre-labeling loading on lidar space HOT 4
- 版本问题 HOT 1
- when uploading dataset with pre-annotation results, tempDataId is not unique. HOT 8
- UI Refactor HOT 1
- Creating same dataset type multiple times with result HOT 5
- the default values for camera calibration HOT 2
- How to render a point cloud in a single image view HOT 4
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