https://github.com/himalayaashish/colortrend
This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images.
https://github.com/himalayaashish/colortrend
instance-segmentation object-detection tensorflow tensorflow2 unet unet-image-segmentation yolov5 yolov8
Last synced: 12 months ago
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This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images.
- Host: GitHub
- URL: https://github.com/himalayaashish/colortrend
- Owner: himalayaashish
- Created: 2024-10-15T05:21:43.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-17T08:59:21.000Z (over 1 year ago)
- Last Synced: 2025-04-08T15:48:33.249Z (about 1 year ago)
- Topics: instance-segmentation, object-detection, tensorflow, tensorflow2, unet, unet-image-segmentation, yolov5, yolov8
- Homepage:
- Size: 917 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Hello World! 
🚀 Welcome to my git repo :ColorTrends
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#### Color Trends Using YOLO and TensorFlow
###### This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images. TensorFlow is then employed to apply dynamic color changes to the detected hair segments, allowing for a wide range of color trends and styles. This project demonstrates the power of deep learning in creative applications, enabling users to experiment with and visualize different hair colors seamlessly.
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###### This project predicts the anomaly on timeseries data conversations using the tensorflow model.
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## Installation
1. Clone this repository or download the script.
2. Install the required packages using pip:
```bash
pip install -r requirements.txt
```
```bash
python main.py
```
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### Languages and Tools
### Languages
**Python**:
**JavaScript**:
**SQL:**
### Tools
**Software Development:**
**SDLC:**
  
**Software Engineering:**
[](https://github.com/Quananhle)
[](https://github.com/Quananhle)
**Version Control:**
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