Hand Landmark Detection OpenCV Python – Many human hand-related computer vision applications, such as hand posture estimation, hand gesture identification, human activity analysis, and so on, require hand detection as a vital pre-processing method.
Importance of Hand Landmark Detection Python
This allows for the detection of landmarks both on the contour and inside the hand masks.
Hand Landmark Detection In Python: Project Details and Technology
| Project Name: | Hand Landmark Detection Project In Python With Source Code |
| Abstract | Hand Landmark Detection Python OpenCV is the process of finding renowned human-made sculptures, buildings, and monuments inside a picture. |
| Language/s Used: | Python Deep Learning |
| Python version (Recommended): | 3.8/3.9 |
| Database: | None |
| Type: | Desktop Application |
| Developer: | Source Code Hero |
| Updates: | 0 |
Hand Landmark Detection OpenCV Python: About the project
This 2022 Hand Landmark Detection OpenCV Python was created with Python and OpenCV. In this Python Project With Source Code, we’ll learn how to get hand landmarks from a webcam using Python, MediaPipe, and OpenCV.
This Hand Landmark Detection 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 Hand Landmark Detection OpenCV Python With Source Code, make sure that you have installed Python in your computer.
Hand Landmark Detection OpenCV Python With Source Code: Steps on how to run the project
Time needed: 5 minutes
These are the steps on how to run Hand Landmark Detection OpenCV Python With Source Code
- Step 1: Download Source Code
First, download the provided source code below.
- Step 2: Extract File
Next, after the download is finished extract the zip file.
- Step 3: Import the project to your PyCharm IDE.
Next, import the source code you’ve downloaded 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”
Download the Source Code below
Summary
Hand detection is the process of finding the joints on the fingers as well as the finger-tips in a given image. It is similar to finding key points on Face or Body.
But, different from Hand Detection since in that case, we treat the whole hand as one object.
In this Python OpenCV Project also includes a downloadable Python Project With Source Code for free.
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Inquiries
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