{"id":18339924,"url":"https://github.com/mxagar/pyimagesearch_tutorials","last_synced_at":"2025-04-09T20:39:01.032Z","repository":{"id":177858789,"uuid":"629066878","full_name":"mxagar/pyimagesearch_tutorials","owner":"mxagar","description":"This repository contains code from some of the tutorials at PyImageSearch.","archived":false,"fork":false,"pushed_at":"2023-08-09T08:52:07.000Z","size":4944,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T12:49:49.178Z","etag":null,"topics":["computer-vision","deep-learning","image-classification","image-processing","object-detection","ocr"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mxagar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-17T14:48:57.000Z","updated_at":"2024-11-17T05:09:14.000Z","dependencies_parsed_at":null,"dependency_job_id":"bb3c553f-66ec-4abf-9881-c361964f8fe6","html_url":"https://github.com/mxagar/pyimagesearch_tutorials","commit_stats":null,"previous_names":["mxagar/pyimagesearch_tutorials"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fpyimagesearch_tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fpyimagesearch_tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fpyimagesearch_tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fpyimagesearch_tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mxagar","download_url":"https://codeload.github.com/mxagar/pyimagesearch_tutorials/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248109296,"owners_count":21049285,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","image-classification","image-processing","object-detection","ocr"],"created_at":"2024-11-05T20:19:52.010Z","updated_at":"2025-04-09T20:39:01.011Z","avatar_url":"https://github.com/mxagar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyImageSearch Tutorials\n\nThis repository contains code from some of the tutorials at [PyImageSearch](https://pyimagesearch.com/), as well as from other sources, properly referenced.\n\n## Tutorials and Examples\n\nEach tutorial has a dedicated folder with the code and a `README.md`.\n\nIn addition to these tutorials, I have the following repositories with related content:\n\n- [deep_learning_udacity](https://github.com/mxagar/deep_learning_udacity)\n- [computer_vision_udacity](https://github.com/mxagar/computer_vision_udacity)\n- [deep-learning-v2-pytorch](https://github.com/mxagar/deep-learning-v2-pytorch)\n- [detection_segmentation_pytorch](https://github.com/mxagar/detection_segmentation_pytorch)\n- [ocr_guide](https://github.com/mxagar/ocr_guide)\n- [hyperparameter-optimization](https://github.com/mxagar/hyperparameter-optimization)\n\n### Siamese Networks\n\n\u003c!--Page 3--\u003e\n\nFolder: [`siamese_networks/`](./siamese_networks/).\n\n- Building Image Pairs for Siamese Networks\n- Implementing Your First Siamese Network with Keras and TensorFlow\n- Comparing Images for Similarity with Siamese Networks\n- Improving Accuracy with Contrastive Loss\n- Face Recognition with Siamese Networks, Keras, and TensorFlow\n- Building a Dataset for Triplet Loss with Keras and TensorFlow\n- Triplet Loss with Keras and TensorFlow\n- Training and Making Predictions with Siamese Networks and Triplet Loss\n\n### NeRFs\n\n\u003c!--Page 2--\u003e\n\n:construction:\n\nTBD.\n\n- Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 1\n- Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 2\n- Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3\n\n\n### Data Pipelines\n\n\u003c!--Page 2--\u003e\n\n:construction:\n\nTBD.\n\n- A Gentle Introduction to tf.data with TensorFlow\n- Data Pipelines with tf.data and TensorFlow\n- Data Augmentation with tf.data and TensorFlow\n\n### Hyperparameter Tuning\n\n\u003c!--Page 2--\u003e\n\n:construction:\n\nTBD.\n\n- Introduction to Hyperparameter Tuning\n- Hyperparameter Tuning for Computer Vision Projects \n- Using scikit-learn to Tune Deep Learning Model Hyperparameters\n- Easy Hyperparameter Tuning with Keras Tuner\n\n### Vision Fusion\n\n\u003c!--Page 5--\u003e\n\n:construction:\n\nTBD.\n\n- Welcome to the Visual Fusion Mini-Course\n- What to Expect From This Course\n- Understanding Cameras\n- Understanding LiDARs\n- Review of the 2 Sensors\n- Introduction to Sensor Fusion\n- Point Pixel Projection\n- Projecting a LiDAR Point (3D) to an Image (2D)\n- Applying the Magic Formula\n- Using Google Colab\n- 3D-2D Visualization and Code\n- Coding the Magic Formula\n\n### OAK\n\n\u003c!--Page 7--\u003e\n\n:construction:\n\nTBD.\n\n- Introduction to OAK (OpenCV AI Kit) \n- OAK-D: Understanding and Running Neural Network Inference with DepthAI API\n- Training a Custom Image Classification Network for OAK-D\n- Deploying a Custom Image Classifier on an OAK-D\n\n- Training the YOLOv8 Object Detector for OAK-D - Part 1\n- Training the YOLOv8 Object Detector for OAK-D - Part 2\n- Training the YOLOv8 Object Detector for OAK-D - Part 3\n- Training the YOLOv8 Object Detector for OAK-D - Part 4\n- Training the YOLOv8 Object Detector for OAK-D - Part 5\n- Training the YOLOv8 Object Detector for OAK-D - Part 6\n- Training the YOLOv8 Object Detector for OAK-D - Part 7\n- Training the YOLOv8 Object Detector for OAK-D - Part 8\n\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 1\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 2\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 3\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 4\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 5\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 6\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 7\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 8\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 9\n- Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time - Part 10\n\n### Hugging Face\n\n\u003c!--Page 7--\u003e\n\n:construction:\n\nTBD.\n\n- Train a MaskFormer Segmentation Model with Hugging Face Transformers\n\n### OpenCV Tools\n\n\u003c!--Page 1--\u003e\n\n:construction:\n\nTBD.\n\n### Augmented Reality - Fiducial Tracking\n\n\u003c!--Page 1--\u003e\n\n:construction:\n\nTBD.\n\n\n## Authorship, License\n\nMost of the original code was created by Adrian Rosebrock et al. and is hosted at [PyImageSearch](https://pyimagesearch.com/).\n\nI (Mikel Sagardia) modified some files to the present state.\n\nFor more information on the allowed usage, check the [LICENSE.md](LICENSE.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fpyimagesearch_tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmxagar%2Fpyimagesearch_tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fpyimagesearch_tutorials/lists"}