Image search in network Leave feedback
To run a reverse image search, use the search_first method of the Searcher class. This method returns the first portion of results as a NetworkImageSearchResult object, which contains the images found in one shard.
To continue the search, the search_next method is used, returning the second and subsequent portions of results. Continue the search while the network_image_search_token property of the result is not None.
The search image object and search options object are the same as those used for single index searches. Images can be found only if image indexing was enabled when the documents were added.
The examples on this page use the master node of a running search network. The following code creates and starts the master node as described on the Search network deployment page; the slave nodes must be started beforehand. The examples that follow continue this code in the same Python process.
from groupdocs.search.common import FileLogger
from groupdocs.search.scaling import SearchNetworkNode
from groupdocs.search.scaling.configuring import Configuration, TcpSettings
base_path = "./SearchNetwork/"
base_port = 49100
# Loading the search network configuration from a file
configuration = Configuration.load(base_path + "Configuration.xml")
# Creating, configuring and starting the master node; the timeouts are specified in milliseconds
node = SearchNetworkNode.create_master_node(
0,
base_path + "Node0",
TcpSettings(base_port, 3000, 3000, 3000, 1000),
FileLogger(base_path + "Log.txt", 4.0),
configuration)
node.configure_all_nodes()
node.start()
The following sample file is used in this example: SearchNetwork/Configuration.xml
The following code example, which continues the previous one, demonstrates performing a reverse image search on the search network.
from groupdocs.search.common import SearchImage
from groupdocs.search.options import ImageSearchOptions
# Creating a search image from a file
search_image = SearchImage.create("./documents/Image.png")
hash_differences = 8 # The maximum allowed difference between the image hashes
print("First image search")
searcher = node.searcher
options = ImageSearchOptions()
options.hash_differences = hash_differences
total = 0
result = searcher.search_first(search_image, options)
print("Images found (shard %d): %d" % (result.shard_index, result.image_count))
total += result.image_count
while result.network_image_search_token is not None:
print()
print("Next image search")
result = searcher.search_next(result.network_image_search_token)
print("Images found (shard %d): %d" % (result.shard_index, result.image_count))
total += result.image_count
print()
print("Total images found (diffs = %d): %d" % (hash_differences, total))
The following sample file is used in this example: documents/Image.png
More information about reverse image search can be found on the Reverse image search page.
You may easily run the code from documentation articles and see the features in action in our GitHub examples:
Along with the full-featured Python library, we provide simple but powerful free apps.
You are welcome to search over your PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX and more with our free online Free Online Document Search App.
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