├── .gitignore ├── LICENSE ├── README.md ├── color_segmentation_demo.py ├── extra_image_processing.ipynb ├── images ├── README.md ├── alley_night.jpg ├── balloons_noisy.png ├── bird.jpg ├── boat.jpg ├── book_page.jpg ├── camera.jpg ├── car.jpg ├── chessboard.png ├── color_spaces │ ├── README.md │ ├── pant.jfif │ ├── pant1.jfif │ ├── pant2.jfif │ ├── pant3.jfif │ ├── pant4.jfif │ └── pant5.jfif ├── dice.jfif ├── dog.jfif ├── flower.jfif ├── leaf.jpg ├── lena.jfif ├── lena.png ├── lena.tif ├── low_contrast_img.jfif ├── meal.jpg ├── monitor.jfif ├── name_card_sample.webp ├── native-bee.png ├── night_view.jpg ├── noise_lena.jpg ├── room.jpg ├── rotating_earth_large.gif ├── soccer.jpg ├── travel_hd.jpg ├── w8 │ ├── apples │ │ ├── README.md │ │ ├── apple1.jpg │ │ ├── apple2.jpg │ │ ├── apple3.jpg │ │ ├── apple4.jpg │ │ └── apple5.jpg │ ├── circles │ │ ├── README.md │ │ ├── clock.jpg │ │ ├── clock1.jpg │ │ ├── clock2.jpg │ │ ├── coins1.jpg │ │ └── coins2.jpg │ ├── docs │ │ ├── README.md │ │ ├── doc_ocr4.jpg │ │ ├── receipt.PNG │ │ ├── receipt1.jpeg │ │ ├── receipt2.webp │ │ └── receipt3.jpg │ └── rectangles │ │ ├── README.md │ │ ├── gadgets.jpg │ │ ├── ipad.jpg │ │ ├── phone.jpg │ │ ├── phones.jpg │ │ └── tablets.jpeg ├── w9 │ ├── README.md │ └── malaysia_car_plate │ │ ├── README.md │ │ ├── car1.jpeg │ │ ├── car10.jpeg │ │ ├── car11.jpeg │ │ ├── car2.jpeg │ │ ├── car3.jpeg │ │ ├── car4.jpeg │ │ ├── car5.jpeg │ │ ├── car6.jpeg │ │ ├── car7.jpeg │ │ ├── car8.jpeg │ │ ├── car9.jpeg │ │ └── results │ │ ├── README.md │ │ ├── res1.jpg │ │ ├── res10.jpg │ │ ├── res11.jpg │ │ ├── res3.jpg │ │ ├── res4.jpg │ │ ├── res5.jpg │ │ ├── res6.jpg │ │ ├── res7.jpg │ │ └── res9.jpg ├── winter.jfif ├── winter_low_contrast.jfif └── wood_planck.jfif ├── img_embed ├── 2D_Convolution_Animation.gif ├── README.md ├── activity3.PNG ├── billboard.jpg ├── bulleye.PNG ├── color_segmentation_diagram.png ├── crop_swap.PNG ├── dice_marked.jpg ├── diff_color_channels.jpg ├── exercise_w4.jpg ├── gamma_correction.jpg ├── hsv_cylindrical.jfif ├── keras_workflows.png ├── lena_mask.PNG ├── road.jpg ├── w8_circle_detection.webp ├── w8_color_segmentation.webp ├── w8_doc_scan.webp ├── w9_workflow1.png ├── w9_workflow2.png └── watermark_save.jpg ├── ml_model_archive └── structured_forest │ └── README.md ├── object_det └── hog_svm │ ├── README.md │ ├── res_77.jpg │ ├── res_78.jpg │ ├── res_79.jpg │ ├── res_93.jpg │ └── res_94.jpg ├── requirements.txt ├── segment_flood_area.ipynb ├── segmentation_human.ipynb ├── text_outputs ├── README.md └── output.txt ├── tmp ├── README.md ├── res1.jpg ├── res2.jpg ├── res3.jpg ├── res4.jpg └── res5.jpg ├── utils.py ├── videos ├── README.md └── img_pexels.mp4 ├── w10_autoencoder_denoise.ipynb ├── w10_cnn_multiclass_image.ipynb ├── w10_dl_with_keras.ipynb ├── w10_grayscale_img_class_dl.ipynb ├── w11_demo_project.ipynb ├── w11_imageSeg.ipynb ├── w2_tut_ans.ipynb ├── w2_tutorial.ipynb ├── w3_tut_ans.ipynb ├── w3_tutorial.ipynb ├── w4_tut_ans.ipynb ├── w4_tutorial.ipynb ├── w5_tut_ans.ipynb ├── w5_tutorial.ipynb ├── w6_tut_ans.ipynb ├── w6_tutorial.ipynb ├── w8_circle_rect.ipynb ├── w8_color_segmentation.ipynb ├── w8_demo_project.ipynb ├── w8_document_ocr.ipynb ├── w9_demo_project.ipynb ├── w9_ml_classification.ipynb └── w9_obj_det.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | /.venv 2 | /__pycache__ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Jacky-lim-data-analyst/mini_project_cv/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Jacky-lim-data-analyst/mini_project_cv/HEAD/README.md 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