Cloudlabeling API
conda create -n cloudlabeling python pip
conda activate cloudlabeling
pip install cloudlabeling
How to use (Python)
from cloudlabeling import cloudlabeling
cloud_labeler = cloudlabeling.CloudLabeling()
results = cloud_labeler.infer_remotely(image_path, project_id="MSCOCO")
Results output in JSON format
{
"detection":[ # list of detections
{
"box":[
268.44647216796875, # x min
4.61001443862915, # y min
2401.08740234375, # x max
1919.837646484375 # y max
],
"label":"bowl", # class name
"label_idx":45, # class ID
"confidence":0.7302282 # confidence score
}, ...
],
"labels":[ # list of labels in detection
"dining table",
"bowl",
"cake"
],
"error":None # error (if any)
}
1 maintainer
Metadata
1 maintainer
Release files for cloudlabeling 0.0.16
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cloudlabeling-0.0.16.tar.gz | 10.2 kB | Without provenance | Details for cloudlabeling-0.0.16.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cloudlabeling-0.0.16-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for cloudlabeling-0.0.16-py2.py3-none-any.whl |
Total release size: 19.3 kB
Release files / cloudlabeling-0.0.16.tar.gz
| Download URL | cloudlabeling-0.0.16.tar.gz |
|---|---|
| Size | 10.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6
|
Release files / cloudlabeling-0.0.16-py2.py3-none-any.whl
| Download URL | cloudlabeling-0.0.16-py2.py3-none-any.whl |
|---|---|
| Size | 9.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6
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Security for cloudlabeling 0.0.16
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