By AISSAOUI Tayeb
During last 09 years more than 1300 Tours created based on 3D content
Started with Tourweaver, Panotour pro, Pano2vr, and 3Dvista softwares
Worked Essentially in Real estate field, Interior design, and Archviz
I become very lazy with time and search to make tasks with less effort " Lol"
I found some shortcuts to use my tours as "Data" and train AI to generate tours
I asked Chatgpt for this TO TELL ME FROM WHERE TO START
Question 1
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How can I use my created virtual tours content as a data to generate other tours based on AI
Chatgpt Answer:
To generate new tours based on AI using your existing virtual tour content, you can use machine learning algorithms like clustering or deep learning. Here's a general outline of how you might do this:
Started with Tourweaver, Panotour pro, Pano2vr, and 3Dvista softwares
Worked Essentially in Real estate field, Interior design, and Archviz
I become very lazy with time and search to make tasks with less effort " Lol"
I found some shortcuts to use my tours as "Data" and train AI to generate tours
I asked Chatgpt for this TO TELL ME FROM WHERE TO START
Question 1
--------------
How can I use my created virtual tours content as a data to generate other tours based on AI
Chatgpt Answer:
To generate new tours based on AI using your existing virtual tour content, you can use machine learning algorithms like clustering or deep learning. Here's a general outline of how you might do this:
- Preprocess and format your data: Clean and organize your virtual tour data into a format that can be used for machine learning. This might include converting images and text into numerical data and splitting your data into training and testing sets.
- Train a model: Choose a machine learning algorithm that is appropriate for your data and use your training data to train a model. For example, you could use a clustering algorithm to group similar virtual tours together, or a deep learning algorithm to learn the patterns in your data.
- Use the trained model to generate new tours: Once your model is trained, you can use it to generate new virtual tours based on your existing data. For example, you might input a new virtual tour location and have the model suggest elements to include in the tour based on similar tours it has seen in your data.
- Evaluate the generated tours: Evaluate the quality of the generated tours and make adjustments to your model as necessary. You may need to repeat steps 2 and 3 several times to get the results you're looking for.
This is just a general outline, and the exact steps you take will depend on the specifics of your data and the machine learning algorithms you choose to use. If you're new to machine learning, it might be helpful to take an online course or consult with a data scientist to get started.
2nd Question: What about using Tensorflow
Chatgpt Answer:
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TensorFlow is an open-source software library for machine learning and deep learning that can be used for generating new virtual tours based on existing content. To use TensorFlow to generate virtual tours, you can follow the general outline described in my previous answer, but with some modifications specific to TensorFlow:
- Preprocess and format your data: Clean and organize your virtual tour data into a format that can be used for deep learning. You may need to convert images into numerical data and resize them to a consistent size. You may also need to convert text data into numerical data using techniques such as word embeddings or one-hot encoding.
- Define your model: Choose a deep learning architecture that is appropriate for your data and use TensorFlow's API to define your model. For example, you could use a Convolutional Neural Network (CNN) to process image data or a Recurrent Neural Network (RNN) to process text data.
- Train your model: Use TensorFlow's API to train your model on your training data. You will need to specify the loss function and optimization algorithm to use, as well as the batch size and number of epochs.
- Use the trained model to generate new tours: Once your model is trained, you can use it to generate new virtual tours. This might involve using the model to predict missing elements in an existing virtual tour, or using the model to generate a completely new tour from scratch.
- Evaluate the generated tours: Evaluate the quality of the generated tours and make adjustments to your model as necessary. You may need to repeat steps 2-4 several times to get the results you're looking for.
TensorFlow is a powerful tool for deep learning and can be used to generate new virtual tours based on existing content. However, it can also be complex and time-consuming to use, especially if you're new to deep learning. If you're new to TensorFlow, it might be helpful to start with some introductory tutorials or take an online course to get familiar with the basics.
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Conclusion
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it will be a good start for 360° and 3D content creators in the next stage and era
if there will be a place for us humans lol
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Created at 2023-02-09T17:14:46.000Z