Geminate comes with the feature of searching for products based on images with the feature extractor (Keras, VGG16) technique. so it will give you a product list of matching or related products to match with your search criteria and, by this technique, you will get accurate results. you can search for the product and add them to the shopping cart by clicking on the "Add to Cart" button. If you search for a product and do not find any product lists, then it will raise a notification. Hot Features ● Search product images with the feature extractor (Keras, VGG16) technique. ● Power of tensorflow for image search engine. ● Returns a product list of matching or related products to match based on your search criteria.

2. Ecommerce Product Reverse Image Search
Geminate comes with the feature of searching for products based on images with
the feature extractor (Keras, VGG16) technique. so it will give you a product list of
matching or related products to match with your search criteria and, by this
technique, you will get accurate results. you can search for the product and add
them to the shopping cart by clicking on the "Add to Cart" button.
If you search for a product and do not find any product lists, then it will raise a
notification.

3. Hot Features
● Search product images with the feature extractor (Keras,
VGG16) technique.
● Power of tensorflow for image search engine.
● Returns a product list of matching or related products to
match based on your search criteria.
Note:
Extensively Tested on Odoo Vanilla with Ubuntu OS

4. HOW IT WORKS?
● Workflow

6. Overview:
Content-based sales product image reverse search is one of the most
essential techniques used for interacting with visual collections. Although
significant progress has been made in the last decade, existing technologies
have only been evaluated on a standard benchmark such as the Oxford
dataset, which mainly consists of building images. There has not been
enough discussion about how to create a practical and large-scale visual
search system for real-world applications, such as recommendation for
shopping items in online marketplaces or re-identification for pedestrians in
a security scenario.

7. Configuration:
Configuration sample
----------------------------
Server with 4 CPU, 8 Thread
60 concurrent users
60 users / 6 = 10 <- theoretical number of worker needed
(4 * 2) + 1 = 9 <- theoretical maximal number of worker
We use 8 workers + 1 for cron. We also use a monitoring
system to measure cpu load, and check if it is between 7 and
7.5 .
RAM = 3072(Mb) * 1024 * 1024 ~= 3Go RAM for Odoo

8. in /etc/odoo.conf:
---------------------------
[options]
limit_memory_hard = 3221225472
limit_memory_soft = 3221225472
limit_request = 8192
limit_time_cpu = 600
limit_time_real = 1200
max_cron_threads = 1
workers = 8

9. ● Go to Settings -> General Settings -> Reverse Image Search
● Click on "Update image reverse search" to regenerate the
tensorflow image dataset.

11. ● Go to the WEBSITE -> Shop.

13. ● Click on the button to open the wizard.

16. ● Upload a product image into the "Image" section and
click on the "Search" button to get the matching products
in the product list.

18. ● If you change the product image into the "Image"
section and click on the "Search" button, then old
records are automatically removed and new records
are shown in the product list.

21. ● Click on the "Add to Cart" button to add products to "My
Cart" and you can also add multiple-quantity products to
"My Cart".
● My cart is empty!

23. ● When you click on the "Add to Cart" button, products will
be added to "My Cart".

25. ● Products are added to "My Cart".

28. ● If there is no matching product record then it will raise a
notification.

30. Note: Based on the concept of tensorflow reverse image
search, first priority is given to exact or similar images, and if
the limit is still greater, the next search will be done based on
color, and whatever product has that color, it will return those
products as well from the list.

31. GeminateCS Suggested Apps

32. Watch on YouTube
Geminate Oddo Services
Our Services
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33. Complimentary Support
You will get 60 days free support for any doubt,
queries, and bug fixing (excluding data recovery) or
any type of issue related to this module.

34. Contact / Support
Need assistance?
WEBSITE SENT MAIL

35. THANK YOU