Image Caption Generator OpenCV Python – Image caption generator is a popular Artificial Intelligence study topic that focuses on image interpretation and generating a linguistic description for that image. The ability to construct well-formed sentences necessitates both syntactic and semantic knowledge of the language.
Importance of Image Caption Generator Python OpenCV
Image caption is a key aspect of scene understanding, which combines computer vision and natural language processing knowledge to automatically generate natural language descriptions based on the content observed in an image.
Image Caption Generator In Python: Project Details and Technology
|Project Name:||Image Caption Generator Project In Python With Source Code|
|Abstract||Image Caption Generator Python OpenCV – A caption appears next to the image and identifies or describes the image.|
|Language/s Used:||Python Deep Learning|
|Python version (Recommended):||3.8/3.9|
|Developer:||Source Code Hero|
Image Caption Generator with CNN & LSTM OpenCV Python : About the project
Python Programming with CNN and LSTM was used to create the Image Caption Generator with CNN and LSTM in Python. The goal of this project is to learn about the ideas of a CNN and LSTM model, as well as to develop a working model of an image caption generator using CNN and LSTM.
We will develop the caption generator in Python using CNN (Convolutional Neural Networks) and LSTM (Latent Semantic Transform Machines) (Long short term memory). The image characteristics will be taken from Xception, a CNN model trained on the imagenet dataset, and then fed into the LSTM model, which will generate the image descriptions.
This Image Caption Generator In Python also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.
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To start executing a Image Caption Generator with CNN & LSTM OpenCV Python Source Code, make sure that you have installed Python in your computer.
Image Caption Generator with CNN & LSTM OpenCV Python Source Code : Steps on how to run the project
Time needed: 5 minutes.
These are the steps on how to run Image Caption Generator with CNN & LSTM OpenCV Python Source Code
- Step 1: Download Source Code
First, download the provided source code below.
- Step 2: Extract File
Next, after the download finished extract the zip file.
- Step 3: Import the project to your PyCharm IDE.
Next, import the source code you’ve download to your PyCharm IDE.
- Step 4: Install all Libraries.
Next, install all libraries given below.
- Step 5: Open cmd.
Next, click the folder directory of the project and type cmd.
- Step 6: Run Project.
last, run the project with the command “py main.py -i example.jpg”
Download Source Code below
In this advanced Python project, we have implemented a CNN-RNN model by building an image caption generator. Some key points to note are that our model depends on the data, so, it cannot predict the words that are out of its vocabulary. We used a small dataset consisting of 8000 images. For production-level models, we need to train on datasets larger than 100,000 images which can produce better accuracy models.
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