https://github.com/rathod-shubham/roboflow_modeldeployment
Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
https://github.com/rathod-shubham/roboflow_modeldeployment
deployment edge-computing edge-devices oak-d opencv python-sdk python3 roboflow
Last synced: 3 months ago
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Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
- Host: GitHub
- URL: https://github.com/rathod-shubham/roboflow_modeldeployment
- Owner: RATHOD-SHUBHAM
- Created: 2023-10-06T15:05:36.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2023-10-06T15:30:53.000Z (over 1 year ago)
- Last Synced: 2025-01-22T07:43:22.553Z (5 months ago)
- Topics: deployment, edge-computing, edge-devices, oak-d, opencv, python-sdk, python3, roboflow
- Language: Python
- Homepage: https://docs.roboflow.com/deploy/luxonis-oak
- Size: 76 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Roboflow_ModelDeployment
Must need a Roboflow Account.
## Deploy Custom Model Weights with Roboflow.
Have a ready-to-upload dataset.\
Steps:
1. Head to the Roboflow dashboard and create a new project.
2. Upload the images associated with your project.
3. Create a Dataset Version.
4. Upload Custom Model Weights.
5. Test Your Model: Navigate to the “Deploy” tab in the Roboflow dashboard.
Read this amazing article by [Roboflow](https://blog.roboflow.com/deploy-custom-model-weights-roboflow/#:~:text=Navigate%20to%20the%20%E2%80%9CDeploy%E2%80%9D%20tab,out%20our%20model%20deployment%20documentation)