PicSimSearch is a Python package for image search based on keypoint-based feature extraction and matching. It allows you to search for similar images in a dataset using a query image.

PicSimSearch can be installed using pip:

pip install PicSimSearch

PicSimSearch can be installed using poetry:

1. Install Poetry:

   pip install poetry

2. Navigate to the project directory:

   cd path/to/your/project

3. Install the dependencies:

   poetry install

4. Install

   poetry add PicSimSearch
       ```

from PicSimSearch import Io
from PicSimSearch import *
from PicSimSearch import engine
from PicSimSearch import dataset

Io.upload.upload_image_of_local()

image = Io.read.read_image_from_folder()

Io.show.imshow(image)

dataset_path = dataset.set_dataset_path()
num_keypoints = 3000

engine.search(image, num_keypoints, dataset_path)

initialize engine ...

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

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extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

extract_features

...

[INFO] Serializing Features...

[INFO] Loading Features...

Searching ...

Folder : O

Contributions to PicSimSearch are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository: https://github.com/snmahsa/PicSimSearch. License

This project is licensed under the MIT License. See the LICENSE file for more information.