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Files that changed from the base of the PR and between b18c66225ed623c4574088d4141f070639c0f99b and ed8a9dd3b722845fd031223d6dc491e362a07f4f.
The recent changes introduce a new image classification model within the mobilenet_classifier
module. This model can classify images as either "cheque return memo" or "vakalatnama." A new Dockerfile sets up the environment, and an API endpoint is added to handle image classification requests. Supporting files, including model.py
for model operations, request.py
for handling input images, and requirements.txt
for dependencies, complement the changes.
File | Summary of Changes |
---|---|
classifier/mobilenet_classifier/Dockerfile |
Set up a Python 3.9-slim environment with necessary dependencies, exposed port 8000, and used Hypercorn to serve the api:app . |
classifier/mobilenet_classifier/README.md |
Introduced instructions for building and running the image classification model using Docker, and making classification requests. |
classifier/mobilenet_classifier/__init__.py |
Imported request.py and model.py into the mobilenet_classifier module. |
classifier/mobilenet_classifier/api.py |
Implemented API endpoint /classify_image using Quart to classify uploaded images. Added startup function, classify_image function, and a global model variable. |
classifier/mobilenet_classifier/model.py |
Added ModelClassifier class with methods for initializing the model and classifying images using TensorFlow and OpenCV. |
classifier/mobilenet_classifier/request.py |
Added ModelRequest class to handle image files and convert them to JSON. |
classifier/mobilenet_classifier/requirements.txt |
Listed project dependencies, including aiohttp , quart , numpy , opencv-python-headless , and tensorflow . |
sequenceDiagram
participant User
participant API
participant ModelClassifier
User->>API: POST /classify_image (with image)
API->>ModelClassifier: classify_image(image)
ModelClassifier->>API: Classification Result
API->>User: JSON response with classification
In a realm of code, neat and bright,
A model awoke to classify right.
From cheques to memos, it sees the light,
Through Docker’s embrace, it takes its flight.
Quart whispers secrets, in data's delight,
Mobilenet dances, in frames so tight.
In the world of bytes, it shines so bright. 🌟
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Summary by CodeRabbit
New Features
Documentation
Chores