YOLOv4: Optimal Speed and Accuracy of Object Detection

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1. Paper Yolo v4: https://arxiv.org/abs/2004.10934

2. source code: https://github.com/AlexeyAB/darknet

400+ textbooks free to download

CS books on Python, deep learning, data science & AI.

You are now only searching within the Free Textbooks and Library Link special issue during Covid 19 package

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3. http://bit.ly/SpringerCS

[CVPR 2020] Learning to See Through Obstructions

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Paper:
https://arxiv.org/abs/2004.01180

Project Page:
https://www.cmlab.csie.ntu.edu.tw/~yulunliu/ObstructionRemoval

Github:
https://github.com/alex04072000/ObstructionRemoval

Deepfakes Series

Part1=>Part2=>Part3=>Part4

Finally, our last part of the series looks at detecting Deepfakes videos with machine learning (ML) and/or deep learning (DL).

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https://medium.com/@jonathan_hui/deepfakes-series-7138afb825cc

Image inpainting with OpenCV and Python

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https://www.pyimagesearch.com/2020/05/18/image-inpainting-with-opencv-and-python/

Tesseract OCR: Text localization and detection

In this tutorial, you will learn how to utilize Tesseract to detect, localize, and OCR text, all within a single, efficient function call.

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https://www.pyimagesearch.com/2020/05/25/tesseract-ocr-text-localization-and-detection/

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Paper:

https://arxiv.org/pdf/2005.12872.pdf

Github (source codes):

https://github.com/facebookresearch/detr

youtube source: (paper explained):
https://www.youtube.com/watch?v=T35ba_VXkMY

WELCOME TO PYTORCH TUTORIALS

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3 .https://pytorch.org/tutorials/

The best FREE combined Computer Science curriculum

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2. https://laconicml.com/computer-science-curriculum/

Real time face recognition with Android + TensorFlow Lite

The impressive effect of having the state-of-the-art running on your hands

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2. https://medium.com/@estebanuri/real-time-face-recognition-with-android-tensorflow-lite-14e9c6cc53a5

Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series)

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DEEP LEARNING WITH PYTORCH

Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:

* Introduction to deep learning and the
* PyTorch library
* Pre-trained networks
* Tensors
* The mechanics of learning
* Using a neural network to fit data
* Using convolutions to generalize
* Real-world examples: Building a neural * network designed for cancer detection
* Deploying to production

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YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS

# [Tutorial] :https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/

# [Video] : https://www.youtube.com/watch?v=MdF6x6ZmLAY&feature=youtu.be

#[Repo] : https://github.com/ultralytics/yolov5

#[Colab Notebook] : https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ

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https://blog.roboflow.ai/yolov5-is-here/