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Implemented image tagging using TensorFlow InceptionV3 (#28)

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* Refactor docker-compose to its own folder
* Added FastAPI development environment
* Added support for GPU in docker file
* Added image classification
* creating endpoint for smart Image info
* added logo with white background on ios
* Added endpoint and trigger for image tagging
* Classify image and save into database
* Update readme
This commit is contained in:
Alex
2022-02-19 22:42:10 -06:00
committed by GitHub
parent 75b1ed08b4
commit 619735fea0
54 changed files with 2297 additions and 10672 deletions
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12
README.md
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@@ -44,13 +44,15 @@ You can use docker compose for development, there are several services that comp
2. PostgreSQL
3. Redis
4. Nginx
5. TensorFlow and Keras
## Populate .env file
Navigate to `server` directory and run
Navigate to `docker` directory and run
````
```
cp .env.example .env
```
Then populate the value in there.
@@ -59,13 +61,13 @@ Pay attention to the key `UPLOAD_LOCATION`, this directory must exist and is own
To start, run
```bash
docker-compose -f ./server/docker-compose.yml up
````
docker-compose -f ./docker/docker-compose.yml up
```
To force rebuild node modules after installing new packages
```bash
docker-compose -f ./server/docker-compose.yml up --build -V
docker-compose -f ./docker/docker-compose.yml up --build -V
```
The server will be running at `http://your-ip:2283` through `Nginx`