Implementation-neuron-model #28

s473601 · 2023-06-04T19:22:35+02:00

s473601 commented

2023-06-04 19:22:35 +02:00

The implementation of a neural model requires changing the value of the variable 'is_neural_network_off' to False. The program will then replace the usual map generation with random object placement. During the object placement, random images will be loaded from the dataset, and depending on the object recognition, the map will be filled. You can track whether the neural network correctly identified the object in the console.

Please confirm this Pull Request ;)

The implementation of a neural model requires changing the value of the variable 'is_neural_network_off' to False. The program will then replace the usual map generation with random object placement. During the object placement, random images will be loaded from the dataset, and depending on the object recognition, the map will be filled. You can track whether the neural network correctly identified the object in the console. Please confirm this Pull Request ;)

s473601 added 8 commits 2023-06-04 19:22:36 +02:00

preparing recognnition file to implimintation f98855d93c

dataset for recognition 20d32201ae

recognition file changes + link for neuron model f3e6d04eb4

requirements file changing 71c18c567d

changies in config file for work simplification 5910777fa4

changies in main file for using power of config 7490cc8e06

Last changies for correct work of neuron network 7e3a9cf3d0

changes for better understanding of code e8b8de741d

s473566 closed this pull request

2023-06-04 20:16:02 +02:00

s473566 reopened this pull request