# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.5.0 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import sys sys.path.append("../python/recoai_visual_search/") from visual_search import RecoAIVisualSearch from models import * import json from glob import glob import ipyplot from matplotlib import pyplot as plt from tqdm import tqdm # Creating a collection to keep the images # ------------- # # In this case we are using MOBILE_NET_V2 as the feature extractor. api = RecoAIVisualSearch(bearer_token="secrettoken", address="http://localhost:8890") upsert_collection = UpsertCollection( config=GenericModelConfig( model_architecture=ModelArchitecture.MOBILE_NET_V2 ), name="images" ) response = api.upsert_collection(upsert_collection) # Indexing local images # ----------- # # It is possible to index local images using `ImageBytes` or `ImageSource(url="link_to_image")` for img_path in tqdm(sorted(glob("../../images/ecommerce-images/data/Apparel/Boys/Images/images_with_product_ids/*.jpg"))): image_id = img_path.split("/")[-1].split(".")[0] with open(img_path, "rb") as inp: image_bytes = list(inp.read()) image_source = ImageSource(image_bytes=ImageBytes(image_bytes)) add_image = AddImage(collection_name="images", id=image_id, source=image_source) resp = api.add_image(add_image) # Searching for a cat # ----------- img = plt.imread("../../images/ecommerce-images/data/Apparel/Boys/Images/images_with_product_ids/10054.jpg") ipyplot.plot_images([img], img_width=300) with open("../../images/ecommerce-images/data/Apparel/Boys/Images/images_with_product_ids/10054.jpg", "rb") as inp: image_bytes = list(inp.read()) image_source = ImageSource(image_bytes=ImageBytes(image_bytes)) search_image = SearchImage(collection_name="images", n_results=8, source=image_source) # %time search_results = json.loads(api.search_image(search_image).content) search_results images_paths = [] for result in search_results["results"]: fn = "../../images/ecommerce-images/data/Apparel/Boys/Images/images_with_product_ids/{}.jpg".format(result["id"]) img = plt.imread(fn) images_paths.append(img) ipyplot.plot_images(images_paths, img_width=200)