Core functionality: Add (fuse) two images using OpenCV OpenCV v4.8.0

Previous tutorial: Image manipulation Next tutorial: Changing the contrast and brightness of an image Original author Ana Huamán Compatibility OpenCV >= 3.0 We’ll learn how to blend two images! Goals In this tutorial you will learn What is linear mixing? How to add two images using addWeighted() Principles Comment The following explanation is from the […]

Matlab research fuses infrared and visible light images, multi-focus images, multi-modal medical images and multi-exposure images

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]

[Image Fusion] Gaussian of Difference: A simple and effective universal image fusion method [used to fuse infrared and visible light images, multi-focus images, multi-modal medical images and multi-exposure images] (Matlab code implementation)

Welcome to this blog Advantages of bloggers:Blog content should be as thoughtful and logical as possible for the convenience of readers. Motto:He who travels a hundred miles is half as good as ninety. The directory of this article is as follows: Table of Contents 1 Overview 2 Operation results 3 References 4 Matlab code and […]

[Image Fusion] Gaussian of Difference: A simple and effective universal image fusion method [used to fuse infrared and visible light images, multi-focus images, multi-modal medical images and multi-exposure images] (Matlab code implementation)

Welcome to this blog Advantages of bloggers:Blog content should be as thoughtful and logical as possible for the convenience of readers. Motto:He who travels a hundred miles is half as good as ninety. The directory of this article is as follows: Table of Contents 1 Overview 2 Operation results 3 References 4 Matlab code and […]

controlnet training in diffusers

train_controlnet.py accelerate = Accelerator()-> tokenizer = AutoTokenizer.from_pretrained(,”tokenizer”)-> text_encoder_cls = import_model_class_from_model_name_or_path(args.pretrained_model_name_or_path, args.revision) noise_scheduler = DDPMScheduler.from_pretrained(,’scheduler’) text_encoder = text_encoder_cls.from_pretrained(,’text_encoder’) vae = AutoencoderKL.from_pretrained(,’vae’) unet = UNet2DConditionModel.from_pretrained(,’unet’) if controlnet_model_name_or_path: controlnet = ControlNetModel.from_pretrained(controlnet_model_name_or_path) else: controlnet = ControlNetModel.from_unet(unet) vae.requires_grad_(False) unet.requires_grad_(False) text_encoder.requires_grad_(False) controlnet.train() optimizer_class = torch.optim.AdamW params_to_optimize = controlnet.parameters() optimizer = optimizer_class(params_to_optimize,args.learning_rate,betas=(args.adam_beta1,args.adam_beta2),args.adam_weight_decay,args.adam_epsilon) train_dataset = make_train_dataset(args,tokenizer,accelerator) – dataset = load_dataset(args.train_data_dir,cache_dir) — builder_instance = […]

WebGL calculates diffuse light color under point light source

Table of Contents point light Per-vertex lighting (interpolation) Sample program (PointLightedCube.js) Detailed code explanation Example effect Unnatural phenomena that occur when processing point light lighting effects on a vertex-by-vertex basis More Realism: Fragment-by-Fragment Lighting Sample program (PointLightedCube_perFragment.js) Detailed code explanation Point light Compared with parallel light, the light emitted by a point light source has […]

Dreambooth fine-tuning and lora fine-tuning in diffusers

train_dreambooth.py Code: accelerator = Accelerator()-> # Generate class image if prior oreservation is enabled if args.with_prior_preservation: if cur_class_images<args.num_class_images: pipeline = DiffusionPipline.from_pretrained()-> sample_dataset = PromptDataset(args.class_prompt, num_new_images) sample_dataloader = torch.utils.data.DataLoader(sample_dataset, batch_size=args.sample_batch_size) for example in sample_dataloader: images = pipeline(example[‘prompt’]).images tokenizer = AutoTokenizer.from_pretrained(,”tokenizer”)-> text_encoder_cls = import_model_class_from_model_name_or_path()-> noise_scheduler = DDPMScheduler.from_pretrained(,”scheduler”)-> text_encoder = text_encoder_cls.from_pretrained(,”text_encoder”)-> vae = AutoencoderKL.from_pretrained(,”vae”)-> unet = UNet2DConditionModel.from_pretrained(,”unet”)-> accelerator.register_save_state_pre_hook(save_model_hook)-> […]

Analysis and solutions to the causes of non-standard HTTP error status codes such as ERR_CONNECTION_REFUSED

Article directory 1. DNS Resolution Failed 1. DNS server failure 2. DNS configuration error 3. DNS hijacking 4. Domain name expires -5, other network problems 2. ERR_CONNECTION_REFUSED -“ERR_CONNECTION_REFUSED” error can have multiple causes 3. ERR_SSL_PROTOCOL_ERROR “ERR_SSL_PROTOCOL_ERROR” error causes and solutions 1. SSL/TLS version mismatch 2. Certificate issues 3. Browser cache problem 4. Secure socket configuration […]