- Visualization (e.g tensorboard)
-
data
-
models
-
results
- Hyperparameters Tuning
- Data Augmentation
- Code Optimization
- Optional: DeepSORT
- Define the ROI (Region of Interest) Detection
-
__init__.py
-
setup.py
-
test_sample.py
(pytest)
- Optional: Documentation
- Docstrings
- Optional: Segmentation
- Flask UI (Admin/Client)
- Face Recognition search (Image search)
- Text Prompt to Inference
- Optional: Build data lake (database)
- Optional: Command-Line Arguments
-
requirements.txt
-
LICENSE
-
.gitignore
-
.gitattributes
- Docker Integration