Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AgriSwarm
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 31.5 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Detector
Usage
Python
Perform inference effortlessly by calling predict(...) as demonstrated below:
```python import json from predict_shot import predict
with open("coco_converted/val/images/000056.jpg", 'rb') as file: image = file.read() results = predict(image) print(json.dumps(results, indent=4)) ```
Sample output:
bash
[
{
"bbox_xyxy": [
214.08851623535156,
846.3001098632812,
541.779296875,
1198.1767578125
],
"conf": 0.896393895149231
},
...
]
Command Line Interface (CLI)
Run inference directly from the command line:
bash
python predict_shot.py coco_converted/val/images/000056.jpg
Setting Up the Docker Container
If you need to launch your own Docker container, simply execute the following command:
bash
bash run_docker.sh
For Machine Learning Engineers
Streamline your workflow with the full pipeline:
bash
bash run_docker.sh
bash all_pipeline.sh
Elevate your ML tasks with these simple, yet powerful commands!
Owner
- Name: AgriSwarm
- Login: AgriSwarm
- Kind: organization
- Repositories: 1
- Profile: https://github.com/AgriSwarm
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: If you use this software, please cite it as below.
authors:
- family-names: Jocher
given-names: Glenn
orcid: "https://orcid.org/0000-0001-5950-6979"
- family-names: Chaurasia
given-names: Ayush
orcid: "https://orcid.org/0000-0002-7603-6750"
- family-names: Qiu
given-names: Jing
orcid: "https://orcid.org/0000-0003-3783-7069"
title: "Ultralytics YOLO"
version: 8.0.0
# doi: 10.5281/zenodo.3908559 # TODO
date-released: 2023-1-10
license: AGPL-3.0
url: "https://github.com/ultralytics/ultralytics"
GitHub Events
Total
- Push event: 3
- Create event: 1
Last Year
- Push event: 3
- Create event: 1