ImageSense

A powerful platform for image processing & recognition.

Software

• Python 3.13
• Streamlit
• OpenCV2

Features & Details:

1. User Interface

• Basic UI
• Upload the image (JPG, PNG, SVG, WEBp)
• Rename image file
• Save image file
• [] Add undo, redo options
• [] Add the ability to share the image to other mediums

2. Image Preprocessing

• Display the uploaded image
• [] Convert to grayscale & histogram equalization
• [] Image resize, crop, rotate, compression, contrast streching, colour processing, inpainting, fusion - Stable Diffusion
• [] Apply smoothing & sharpening filters (Gaussian, Median, Bilateral)
• [] Deblurring & Denoising

3. Edge Detection & Segmentation

• [] Edge detection using Sobel, Prewitt, Laplacian, Canny
• [] Image thresholding (Global, Adaptive, Otsu's method)
• [] Segmentation using K-Means, Watershed, GrabCut
• [] Morphological operations (Erosion, Dilation, Opening, Closing)

4. Feature Extraction

• [] Extract & visualize key features using SIFT, SURF, ORB, HOG
• [] PCA-based dimensionality reduction visualization
• [] Compute texture features (GLCM, LBP)
• [] Histogram-based feature analysis

5. Pattern Recognition & Classification

• [] Train & test classifiers on extracted features
• [] Support for KNN, SVM, Decision Trees, CNN (Pretrained Models)
• [] Upload custom datasets for classification
• [] Evaluate models with accuracy, precision, recall

6. Face Detection & Recognition

• [] Detect faces using Haar Cascades, DNN (ResNet, MobileNet)
• [] Recognize faces using LBPH, Eigenfaces, Fisherfaces
• [] Live face recognition via webcam feed

7. Interactive Visualizations

• [] Show histograms, feature maps, contour plots
• [] Compare different image processing techniques side-by-side
• [] Display real-time classifier performance

8. API Integration & Deployment

• [] Allow image uploads via API for batch processing
• [] Deploy seamlessly on Streamlit Cloud
• [] Share app via public URL

Setup (for devs)

    python setup.py