Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

Focus on practical applications using various libraries such as scikit-image, OpenCV, and deep learning frameworks like PyTorch and TensorFlow. The text covers a range of image manipulation techniques, including image enhancement through filters and denoising methods like anisotropic diffusion and autoencoders. It also explores image registration for aligning multiple images and performing tasks like face alignment and panorama creation. Furthermore, the content extensively details image segmentation using algorithms such as watershed, self-organizing maps, and deep learning models, along with object detection using methods like HOG, YOLO, and Faster R-CNN. Finally, it touches on advanced topics such as face recognition, image colorization, and image generation using GANs and VAEs.

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Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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