|
|
# galdric
machine learning server, for image classification
- Reads all the datasets in the folder /dataset - Runs a server that allows to upload images to classify - Accepts PNG, JPG, JPEG - Each image is resized to the same size and converted to PNG type, configured in the config.json - For the input images, calculates the euclidean distances - Applyies KNN (K-Nearest Neighbours algorithm) to classify the images - Server returns the classification result, that is the label of the object in the image
### Instructions
Put dataset in /dataset directory with subdirectories, where each subdirectory contains images of one element.
For example: ``` dataset/ leopard/ img01.png img02.png img03.png ... laptop/ img01.png img02.png ... camera/ img01.png img02.png ... ``` So, we have each image and to which element category is (the name of subdirectory).
Then, run the server: ``` >./galdric ```
Now, just need to perform petitions with new images, to get the response from the server classifying them: ```bash curl -F file=@./testimage.png http://127.0.0.1:3055/image ``` And the server will return: ``` seems to be a leopard ```
Can perform some tests with the test.sh file: ``` bash test.sh ```
------------- #### Useful commands
send file over ssh: ``` scp dataset.tar.gz root@SERVERIP:/root/galdric ```
on the server, untar file: ``` tar -xvzf dataset.tar.gz ```
|