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User Interface\n\n- [x] Basic UI\n- [x] Upload the image (JPG, PNG, SVG, WEBp)\n- [x] Rename image file\n- [x] Save image file\n- [] Add undo, redo options\n- [] Add the ability to share the image to other mediums\n\n2. Image Preprocessing\n\n- [x] Display the uploaded image\n- [] Convert to grayscale \u0026 histogram equalization\n- [] Image resize, crop, rotate, compression, contrast streching, colour processing, inpainting, fusion - Stable Diffusion\n- [] Apply smoothing \u0026 sharpening filters (Gaussian, Median, Bilateral)\n- [] Deblurring \u0026 Denoising\n- [] Colouring \u0026 Declouring images - Using GANs\n- [] Image reslution increases - Using GANs\n- [] Professional photo generator from user's photo\n\n3. Edge Detection \u0026 Segmentation\n\n- [] Edge detection using Sobel, Prewitt, Laplacian, Canny\n- [] Image thresholding (Global, Adaptive, Otsu's method)\n- [] Segmentation using K-Means, Watershed, GrabCut\n- [] Morphological operations (Erosion, Dilation, Opening, Closing)\n\n4. Feature Extraction\n\n- [] Extract \u0026 visualize key features using SIFT, SURF, ORB, HOG\n- [] PCA-based dimensionality reduction visualization\n- [] Compute texture features (GLCM, LBP)\n- [] Histogram-based feature analysis\n\n5. Pattern Recognition \u0026 Classification\n\n- [] Train \u0026 test classifiers on extracted features\n- [] Support for KNN, SVM, Decision Trees, CNN (Pretrained Models)\n- [] Upload custom datasets for classification\n- [] Evaluate models with accuracy, precision, recall\n\n6. Face Detection \u0026 Recognition\n\n- [] Detect faces using Haar Cascades, DNN (ResNet, MobileNet)\n- [] Recognize faces using LBPH, Eigenfaces, Fisherfaces\n- [] Live face recognition via webcam feed\n\n7. Interactive Visualizations\n\n- [] Show histograms, feature maps, contour plots\n- [] Compare different image processing techniques side-by-side\n- [] Display real-time classifier performance\n\n8. API Integration \u0026 Deployment\n\n- [] Allow image uploads via API for batch processing\n- [] Deploy seamlessly on Streamlit Cloud\n- [] Share app via public URL\n\n## Setup (for devs)\n\n```\n    python setup.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feshan-sud%2Fimagesense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feshan-sud%2Fimagesense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feshan-sud%2Fimagesense/lists"}