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

f98855d93c preparing recognnition file to implimintation

20d32201ae dataset for recognition

f3e6d04eb4 recognition file changes + link for neuron model

71c18c567d requirements file changing

5910777fa4 changies in config file for work simplification

7490cc8e06 changies in main file for using power of config

7e3a9cf3d0 Last changies for correct work of neuron network

e8b8de741d changes for better understanding of code

s473566 closed this pull request

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

s473566 reopened this pull request