Search Results for “open source” – Page 5

a blog of links related to computer animation and production technology Sponsored by ReelMatters.com

Convert 2D Images to 3D Models

pIXELsHAM.com

Aug 25, 2024
- HyperHuman Rodin – free and pay per use
- LumaLabs Genie – free, web based
- Vectary – free and monthly fees, web based
- Selva3D – pay per use
- 3D-Tool – one off payment
- Insight3d – free and open-source
- ItsLitho – free, web based
- Blender – free
- SculptGL – free, web based
- Embossify – pay per use, web based
- Smoothie-3D – free, web based
- ZW3D – one off payment
- ImageToSTL – free, web based
- Alpha3D – First 50 AI-generated 3D assets free
- Reliefmod – free, web based
- 3D Builder – free
- Cube by CSM.ai – web based
- Kaedim3D – monthly and pay per use fees
- 3DForPrint – free, web based
- ZoeDepth – free, web based
- ZoeDepth Colab notebook – easy to use interface for the depth estimation model “ZoeDepth”
- TilingZoeDepth – higher resolution free web based
- DreamGaussian – free, web based
- Photoshop Neural Filters – monthly fees
- DepthR – pay per use
- Materialize – open source
- VistaSculpt – monthly fees
- STL2PNG Converter – free
- Hi3D – free
- Meshy.ai – Text to 3D – free and pay per use
https://www.news.viverse.com/post/pixel-to-polygon-converting-2d-images-to-3d-models-top-tools-revealed

https://www.rankred.com/convert-2d-images-to-3d/

(more…)

Views : 272
3Dprinting, A.I., blender, Featured, modeling, photogrammetry, production, software
Edit Canon R7 & R5C VR180 stereo footage in DaVinci Resolve with Kartaverse KartaVR – Free EOS VR Utility Alternative

pIXELsHAM.com

Jul 17, 2024

https://www.pixelsham.com/2024/06/20/capturing-stereo-images-with-the-rf-s7-8mm-f4-stm-dual-and-the-canon-rf-s3-9mm-f3-5-stm-dual-fisheye-lenses-for-eos-r7/

https://kartaverse.github.io/Reactor-Docs/#/com.AndrewHazelden.KartaVR

https://github.com/Kartaverse

Kartaverse is a free open source post-production pipeline that is optimized for the immersive media sector. If you can imagine it, Kartaverse can help you create it in XR!

“Karta” is the Swedish word for map. With KartaVR you can stitch, composite, retouch, and remap any kind of panoramic video: from any projection to any projection. This provides the essential tools for 360VR, panoramic video stitching, depthmap, lightfield, and fulldome image editing workflows.

Kartaverse makes it a breeze to accessibly and affordably create content for use with virtual reality HMDs (head mounted displays) and fulldome theatres by providing ready to go scripts, templates, plugins, and command-line tools that allow you to work efficiently with XR media. The toolset works inside of Blackmagic Design’s powerful node based Fusion Studio and DaVinci Resolve Studio software.

Views : 107

software, VR

Generative AI Glossary

pIXELsHAM.com

Mar 2, 2024

https://education.civitai.com/generative-ai-glossary/


Term	Tags	Description
.ckpt	Model	“Checkpoint”, a file format created by PyTorch Lightning, a PyTorch research framework. It contains a PyTorch Lightning machine learning model used (by Stable Diffusion) to generate images.
.pt	Software	A machine learning model file created using PyTorch, containing algorithms used to automatically perform a task.
.Safetensors	Model	A file format for Checkpoint models, less susceptible to embedded malicious code. See “Pickle”
ADetailer	Software, Extension	A popular Automatic1111 Extension, mostly used to enhance fine face and eye detail, but can be used to re-draw hands and full characters.
AGI	Concept	Artificial General Intelligence (AGI), the point at which AI matches or exceeds the intelligence of humans.
Algorithm	Concept, Software	A series of instructions that allow a computer to learn and analyze data, learning from it, and use that learning to interpret and accomplish future tasks on its own.
AnimateDiff	Software, Extension	Technique which involves injecting motion into txt2img (or img2img) generations. https://animatediff.github.io/
API	Software	Application Programmer Interface – a set of functions and tools which allow interaction with, or between, pieces of software.
Auto-GPT	Software, LLM
Automatic1111	Developer, SD User Interface	Creator of the popular Automatic1111 WebUI graphical user interface for SD.
Bard	Software, LLM	Google’s Chatbot, based on their LaMDA model.
Batch		A subset of the training data used in one iteration of model training. In inference, a group of images.
Bias	Concept, LLM	In Large Language Models, errors resulting from training data; stereotypes, attributing certain characteristics to races or groups of people, etc. Bias can cause models to generate offensive and harmful content.
Bing	Software, LLM	Microsoft’s ChatGTP powered Chatbot.
CFG	Setting	Classifier Free Guidance, sometimes “Guidance Scale”. Controls how closely the image generation process follows the text prompt.
Checkpoint	Model	The product of training on millions of captioned images scraped from multiple sources on the Web. This file drives Stable Diffusion’s txt2img, img2img, txt2video
Civitai (Civitai.com)	Community Resource	Popular hosting site for all types of Generative AI resources.
Civitai Generator	Software, Tool	Free Stable Diffusion Image Generation Interface, available on Civitai.com.
Civitai Trainer	Software, Tool	LoRA Training interface, available on Civitai.com, for SDXL and 1.5 based LoRA.
CLIP	Software	An open source model created by OpenAI. Trained on millions of images and captions, it determines how well a particular caption describes an image.
Cmdr2	Developer, SD User Interface	Creator of the popular EasyDiffusion, simple one-click install graphical user interface for SD.
CodeFormer	Face/Image Restoration, Model	A facial image restoration model, for fixing blurry, grainy, or disfigured faces.
Colab	Tool	Colaboratory, a product from Google Research, allowing execution of Python code through the browser. Particularly geared towards machine learning applications. https://colab.research.google.com/
ComfyUI	SD User Interface, Software	A popular powerful modular UI for Stable Diffusion with a “workflow” type workspace. Somewhat more complex than Auto1111 WebUI https://github.com/comfyanonymous/ComfyUI
CompVis	Organization	Computer Vision & Learning research group at Ludwig Maximilian University of Munich. They host Stable Diffusion models on Hugging Face.
Conda	Application, Software	An open source package manager for many programming languages, including Python.
ControlNet	UI Extension	An Extension to Auto1111 WebUI allowing images to be manipulated in a number of ways. https://github.com/Mikubill/sd-webui-controlnet
Convergence	Concept	The point in image generation where the image no longer changes as the steps increase.
CUDA	Hardware, Software	Compute Unified Device Architecture, Nvdia’s parallel processing architecture.
DALL-E / DALL-E 2	Organization	Deep learning image models created by OpenAI, available as a commercial image generation service.
Danbooru	Community Resource	English-based image board website specializing in erotic manga fan art, NSFW.
Danbooru Tag	Community Resource	System of keywords applied to Danbooru images describing the content within. When using Checkpoint models trained on Danbooru images, keywords can be referenced in Prompts.
DDIM (Sampler)	Sampler	Denoising Diffusion Implicit Models. See Samplers.
Deep Learning	Concept	A type of Machine Learning, where neural networks attempt to mimic the behavior of the human brain to perform tasks.
Deforum	UI Extension, Community Resource	A community of AI image synthesis developers, enthusiasts, and artists, producing Generative AI tools. Most commonly known for a Stable Diffusion WebUI video extension of the same name.
Denoising/Diffusion	Concept	The process by which random noise (see Seed) is iteratively reduced into the final image.
depth2img	Concept	Infers the depth of an input image (using an existing model), and then generates new images using both the text and depth information.
Diffusion Model (DM)	Model	A generative model, used to generate data similar to the data on which they are trained.
DPM adaptive (Sampler)	Sampler	Diffusion Probabilistic Model (Adaptive). See Samplers. Ignores Step Count.
DPM Fast (Sampler)	Sampler	Diffusion Probabilistic Model (Fast). See Samplers.
DPM++ 2M (Sampler)	Sampler	Diffusion Probabilistic Model – Multi-step. Produces good quality results within 15-20 Steps.
DPM++ 2M Karras (Sampler)	Sampler	Diffusion Probabilistic Model – Multi-step. Produces good quality results within 15-20 Steps.
DPM++ 2S a Karras (Sampler)	Sampler	Diffusion Probabilistic Model – Single-step. Produces good quality results within 15-20 Steps.
DPM++ 2Sa (Sampler)	Sampler	Diffusion Probabilistic Model – Single-step. Produces good quality results within 15-20 Steps.
DPM++ SDE (Sampler)	Sampler
DPM++ SDE Karras (Sampler)	Sampler
DPM2 (Sampler)	Sampler
DPM2 a (Sampler)	Sampler
DPM2 a Karras (Sampler)	Sampler
DPM2 Karras (Sampler)	Sampler
DreamArtist	UI Extension, Software	An extension to WebUI allowing users to create trained embeddings to direct an image towards a particular style, or figure. A PyTorch implementation of the research paper DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning, Ziyi Dong, Pengxu Wei, Liang Lin.
DreamBooth	Software, Community Resource	Developed by Google Researchers, DreamBooth is a deep learning image generation model designed to fine-tune existing models (checkpoints). Can be used to create custom models based on a set of images.
DreamStudio	Organization, SD User Interface	A commercial web-based image generation service created by Stability AI using Stable Diffusion models.
Dropout (training)	Concept	A technique to prevent overfitting by randomly ignoring some images/tokens, etc. during training.
DyLoRA C3Lier
DyLoRA LierLa
DyLoRA Lycoris
EMA	Model	Exponential Moving Average. A full EMA Checkpoint model contains extra training data which is not required for inference (generating images). Full EMA models can be used to further train a Checkpoint.
Emad	Organization, Developer	Emad Mostaque, CEO and co-founder of Stability AI, one of the companies behind Stable Diffusion.
Embedding	Model, UI Extension	Additional file inputs to help guide the diffusion model to produce images that match the prompt. Can be a graphical style, representation of a person, or object. See Textual Inversion and Aesthetic Gradient.
Emergent Behavior	Concept, LLM	Unintended abilities exhibited by an AI model.
Entropy	Concept	A measure of randomness, or disorder.
Epoch	Concept	The number of times a model training process looked through a full data set of images. E.g. The 5th Epoc of a Checkpoint model looked five times through the same data set of images.
ESRGAN	Upscaler, Model	Enhanced Super-Resolution Generative Adversarial Networks. A technique to reconstruct a higher-resolution image from a lower-resolution image. E.g. upscaling of a 720p image into 1080p. Implemented as a tool within many Stable Diffusion interfaces.
Euler (Sampler)	Sampler	Named after Leonhard Euler, a numerical procedure for solving ordinary differential equations, See Samplers.
Euler a (Sampler)	Sampler	Ancestral version of the Euler sampler. Named after Leonhard Euler, a numerical procedure for solving ordinary differential equations, See Samplers.
Finetune	Concept
float16	Setting, Model, Concept	Half-Precision floating point number.
float32	Setting, Model, Concept	Full-Precision floating point number.
Generative Adversarial Networks (GANs)	Model	A pair of AI models: one generates new data, and the other evaluates its quality.
Generative AI	Concept
GFPGAN	Face/Image Restoration, Model	Generative Facial Prior, a facial restoration model for fixing blurry, grainy, or disfigured faces.
Git (GitHub)	Application, Software	Hosting service for software development, version control, bug tracking, documentation.
GPT-3	Model, LLM	Generative Pre-trained Transformer 3, a language model, using machine learning to produce human-like text, based on an initial prompt.
GPT-4	Model, LLM	Generative Pre-trained Transformer 4, a language model, using machine learning to produce human-like text, based on an initial prompt. A huge leap in performance and reasoning capability over GPT 3/3.5.
GPU	Hardware	A Graphics Processing Unit, a type of processor designed to perform quick mathematical calculations, allowing it to render images and video for display.
Gradio	Software	A web-browser based interface framework, specifically for Machine Learning applications. Auto1111 WebUI runs in a Gradio interface.
Hallucinations (LLM)	LLM, Concept	Sometimes LLM models like ChatGPT produce information that sounds plausible but is nonsensical or entirely false. This is called a Hallucination.
Hash (Checkpoint model)	Model, Concept	An algorithm for verifying the integrity of a file, by generating an alphanumeric string unique to the file in question. Checkpoint models are hashed, and the resulting string can be used to identify that model.
Heun (Sampler)	Sampler	Named after Karl Heun, a numerical procedure for solving ordinary differential equations. See Samplers.
Hugging Face	Organization	A community/data science platform providing tools to build, train, and deploy machine learning models.
Hypernetwork (Hypernet)	Model	A method to guide a Checkpoint model towards a specific theme, object, or character based on its’ own content (no external data required).
img2img	Concept	Process to generate new images based on an input image, and txt2img prompt.
Inpainting	Concept	The practice of removing or replacing objects in an image based on a painted mask.
Kohya	Software	Can refer to Kohya-ss scripts for LoRA/finetuning (https://github.com/kohya-ss/sd-scripts) or the Windows GUI implementation of those scripts (https://github.com/bmaltais/kohya_ss)
LAION	Organization	A non-profit organization, providing data sets, tools, and models, for machine learning research.
LAION-5B	Model	A large-scale dataset for research purposes consisting of 5.85 billion CLIP-filtered image-text pairs.
Lanczos	Upscaler, Model	An interpolation method used to compute new values for sampled data. In this case, used to upscale images. Named after creator, Cornelius Lanczos.
Large Language Model (LLM)	LLM, Model	A type of Neural Network that learns to write and converse with users. Trained on billions of pieces of text, LLMs excel at producing coherent sentences and replying to prompts in the correct context. They can perform tasks such as re-writing and summarizing text, chatting about various topics, and performing research.
Latent Diffusion	Model	A type of diffusion model that contains compressed image representations instead of the actual images. This type of model allows the storage of a large amount of data that can be used by encoders to reconstruct images from textual or image inputs.
Latent Mirroring	Concept, UI Extension	Applies mirroring to the latent images mid-generation to produce anything from subtly balanced compositions to perfect reflections.
Latent Space	Concept	The information-dense space where the diffusion model’s image representation, attention, and transformation are merged and form the initial noise for the diffusion process.
LDSR	Upscaler	Latent Diffusion Super Resolution upscaling. A method to increase the dimensions/quality of images.
Lexica	Community Resource	Lexica.art, a search engine for stable diffusion art and prompts.
LlamaIndex (GPT Index)	Software, LLM	https://github.com/jerryjliu/llama_index – Allows the connection of text data to an LLM via a generated “index”.
LLM	LLM, Model	A type of Neural Network that learns to write and converse with users. Trained on billions of pieces of text, LLMs excel at producing coherent sentences and replying to prompts in the correct context. They can perform tasks such as re-writing and summarizing text, chatting about various topics, and performing research.
LMS (Sampler)	Sampler
LMS Karras (Sampler)	Sampler
LoCON
LoHa
LoKR
LoRA	Model, Concept	Low-Rank Adaptation, a method of training for SD, much like Textual Inversion. Can capture styles and subjects, producing better results in a shorter time, with smaller output files, than traditional finetuning.
LoRA C3Lier
LoRA LierLa
Loss (function)	Concept	A measure of how well an AI model’s outputs match the desired outputs.
Merge (Checkpoint)	Model	A process by which Checkpoint models are combined (merged) to form new models. Depending on the merge method (see Weighted Sum, Sigmoid) and multiplier, the merged model will retain varying characteristics of its’ constituent models.
Metadata	Concept, Software	Metadata is data that describes data. In the context of Stable Diffusion, metadata is often used to describe the Prompt, Sampler settings, CFG, steps, etc. which are used to define an image, and stored in a .png header.
MidJourney	Organization, SD User Interface	A commercial web-based image generation service, similar to DALL-E, or the free, open source, Stable Diffusion.
Model	Model	Alternative term for Checkpoint
Motion Module	Software	Used by AnimateDiff to inject motion into txt2img (or img2img) generations.
Multimodal AI	Concept	AI that can process multiple types of inputs, including text, images, video or speech.
Negative Prompt	Setting, Concept	Keywords which tell a Stable Diffusion prompt what we don’t want to see, in the generated image.
Neural Network	Concept, Software	Mathematical systems that act like a human brain, with layers of artificial “neurons” helping find connections between data.
Notebook	Community Resource, Software	See Colab. A Jupyter notebook service providing access, free of charge, to computing resources including GPUs.
NovelAI (NAI)	Organization	A paid, subscription based AI-assisted story (text) writing service. Also has a txt2img model, which was leaked and is now incorporated into many Stable Diffusion models.
Olivio (Sarikas)	Community Resource	Olivio produces wonderful SD content on YouTube (https://www.youtube.com/@OlivioSarikas) – one of the best SD news YouTubers out there!
OpenAI	Organization	AI research laboratory consisting of the for-profit corporation OpenAI LP and the non-profit OpenAI Inc.
OpenPose	Model, Software	A method for extracting a “skeleton” from an image of a person, allowing poses to be transferred from one image to another. Used by ControlNet.
Outpainting	Concept	The practice of extending the outer border of an image, into blank canvas space, while maintaining the style and content of the image.
Overfitting	Concept	When an AI model learns the training data too well and performs poorly on unseen data.
Parameters (LLMs)	Concept, Software, LLM	Numerical points across a Large Language Model’s training data. Parameters dictate how proficient the model is at its tasks. E.g. a 6B (Billion) Parameter model will likely perform less well than a 13B Parameter model.
Pickle	Concept, Software	Community slang term for potentially malicious code hidden within models and embeddings. To be “pickled” is to have unwanted code execute on your machine (be hacked).
PLMS (Sampler)	Sampler	Pre-Trained Language Models. See Samplers.
Prompt	Concept	Text input to Stable Diffusion describing the particulars of the image you would like output.
Pruned/Pruning	Model	A method of optimizing a Checkpoint model to increase the speed of inference (prompt generation), file size, and VRAM cost.
Python	Application, Software	A popular, high-level, general purpose coding language.
PyTorch	Application, Software	An open source machine learning library, created by META.
Real-ESRGAN	Upscaler	An image restoration method.
Refiner	Model	Part of SDXL’s two-stage pipeline – the Refiner further enhances detail from the base model.
SadTalker	UI Extension	https://github.com/OpenTalker/SadTalker A framework for facial animation/lip synching based upon an audio input.
Samplers	Sampler	Mathematical functions providing different ways of solving differential equations. Each will produce a slightly (or significantly) different image result from the random latent noise generation.
Sampling Steps	Sampler, Concept	The number of how many steps to spend generating (diffusing) your image.
SD 1.4	Model	A latent txt2img model, the default model for SD at release. Fine-tuned on 225k steps at resolution 512×512 on laion-aesthetics v2 data set.
SD 1.5	Model	A latent txt2img model, updated version of 1.4, fine-tuned on 595k steps at resolution 512×512 on laion-aesthetics v2 data set.
SD UI	Application, Software	Colloquial term for Cmdr2’s popular graphical interface for Stable Diffusion prompting.
SD.Next	Software	See Vlad, Vladmandic Fork of Auto1111 WebUI.
SDXL 0.9	Model	Stability AI’s latest (March 2023) Stable Diffusion Model. Will become SDXL 1.0 and be released ~July 2023.
Seed	Concept	A pseudo-random number used to initialize the generation of random noise, from which the final image is built. Seeds can be saved and used along with other settings to recreate a particular image.
Shoggoth Tongue	Concept, LLM	A humorous allusion to the language of the fictional monsters in the Cthulhu Mythos, “Shoggoth Tongue” is the name given to advanced ChatGPT commands which are particularly arcane and difficult to understand, but allow ChatGPT to perform advanced actions outside of the intended operation of the system.
Sigmoid (Interpolation Method)	Model, Concept	A method for merging Checkpoint Models based on a Sigmoid function – a mathematical function producing an “S” shaped curve.
Stability AI	Organization	AI technology company co-founded by Emad Mostaque. One of the companies behind Stable Diffusion.
Stable Diffusion (SD)	Application, Software	A deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images based on provided text descriptions.
SwinIR	Face/Image Restoration, Model	An image restoration transform, aiming to restore high quality images from low quality images.
Tensor	Software	A container, in which multi-dimensional data can be stored.
Tensor Core	Hardware	Processing unit technology developed by Nvidia, designed to carry out matrix multiplication, an arithmetic operation.
Textual Inversion	Model, Concept, UI Extension	A technique for capturing concepts from a small number of sample images in a way that can influence txt2img results towards a particular face, or object.
Token	Concept	A token is roughly a word, a punctuation, or a Unicode character in a prompt.
Tokenizer	Concept, Model	The process/model through which text prompts are turned into tokens, for processing.
Torch 2.0	Software	The latest (March 2023) PyTorch release.
Training	Concept	The process of teaching an AI model by feeding it data and adjusting its parameters.
Training Data	Model	A set of many images used to “train” a Stable Diffusion model, or embedding.
Training Data	Concept, LLM, Model	The data sets uses to help AI models learn; can be text, images, code, or other data, depending on the type of model to be trained.
Turing Test	Concept	Named after mathematician Alan Turing, a test of a machine’s ability to behave like a human. The machine passes if a human can’t distinguish the machine’s response from another human.
txt2img	Concept, Model	Model/method of image generation via entry of text input.
txt2video	Concept, Model	Model/method of video generation via entry of text input.
Underfitting		When an AI model cannot capture the underlying pattern of the data due to incomplete training.
UniPC (Sampler)	Sampler	A recently released (3/2023) sampler based upon https://huggingface.co/docs/diffusers/api/schedulers/unipc
Upscale	Upscaler, Concept	The process of converting low resolution media (images or video) into higher resolution media.
VAE	Model	Variational Autoencoder. A .vae.pt file which accompanies a Checkpoint model and provides additional detail improvements. Not all Checkpoints have an associated vae file, and some vae files are generic and can be used to improve any Checkpoint model.
Vector (Prompt Word)	Concept	An attempt to mathematically represent the meaning of a word, for processing in Stable Diffusion.
Venv	Software	A Python “Virtual Environment” which allows multiple instances of python packages to run, independently, on the same PC.
Vicuna	LLM, Software, Model	https://vicuna.lmsys.org/ An Open-Source Chatbot model founded by students and faculty from UC Berkeley in collaboration with UCSD and CMU.
Vladmandic	Software, SD User Interface	A popular “Fork” of Auto1111 WebUI, with its own feature-set. https://github.com/vladmandic/automatic
VRAM	Hardware	Video random access memory. Dedicated Graphics Card (GPU) memory used to store pixels, and other graphical processing data, for display.
Waifu Diffusion	Model	A popular text-to-image model, trained on high quality anime images, which produces anime style image outputs. Originally produced for SD 1.4, now has an SDXL version.
WebUI	Application, Software, SD User Interface	Colloquial term for Automatic1111’s WebUI – a popular graphical interface for Stable Diffusion prompting.
Weighted Sum (Interpolation Method)	Concept	A method of Checkpoint merging using the formula Result = ( A * (1 – M) ) + ( B * M ) .
Weights	Model	Alternative term for Checkpoint
Wildcards	Concept	Text files containing terms (clothing types, cities, weather conditions, etc.) which can be automatically input into image prompts, for a huge variety of dynamic images.
xformers	UI Extension, Software	Optional library to speed up image generation. Superseded somewhat by new options implemented by Torch 2.0
yaml	Software, UI Extension, Model	A human-readable data-serialization programming language commonly used for configuration files. Yaml files accompany Checkpoint models, and provide Stable Diffusion with additional information about the Checkpoint.

A.I., Featured

Python NumPy: the absolute basics for beginners

pIXELsHAM.com

Mar 19, 2023

https://numpy.org/doc/stable/user/absolute_beginners.html

NumPy (Numerical Python) is an open source Python library that’s used in almost every field of science and engineering. It’s the universal standard for working with numerical data in Python, and it’s at the core of the scientific Python and PyData ecosystems. NumPy users include everyone from beginning coders to experienced researchers doing state-of-the-art scientific and industrial research and development. The NumPy API is used extensively in Pandas, SciPy, Matplotlib, scikit-learn, scikit-image and most other data science and scientific Python packages.

The NumPy library contains multidimensional array and matrix data structures (you’ll find more information about this in later sections). It provides ndarray, a homogeneous n-dimensional array object, with methods to efficiently operate on it. NumPy can be used to perform a wide variety of mathematical operations on arrays. It adds powerful data structures to Python that guarantee efficient calculations with arrays and matrices and it supplies an enormous library of high-level mathematical functions that operate on these arrays and matrices.

Views : 389

python, software
Netflix removes movie noise, saves 30% bandwidth and adds it back again

pIXELsHAM.com

Jul 23, 2022

https://www.slashcam.com/news/single/Netflix-removes-movie-noise–saves-30–bandwidth-a-17337.html

”’Filmmaker Parker Gibbons has drawn attention to a very interesting fact: Netflix removes film noise before streaming its movies and artificially adds it back when decoding. This is because digitally shot films are actually free of any film grain, the very specific (not to be confused with noise caused by too little light) noise that occurs in analog filming. But this type of noise has become so associated with “real” motion pictures through the long history of film (as a component of the film look) that it is unconsciously perceived by many viewers as an important feature of a motion picture.

…

This leads to a difficult-to-resolve contradiction between, on the one hand, film material that is as compressible and noise-free as possible, and, on the other hand, the noise caused by film grain that is desirable for the film look. Netflix has found a very special solution to resolve this contradiction. It uses a very special function of the open source AV1 video codec, which Netflix has been using for a long time, namely the artificial synthesis of film grain. Thus, film noise is first analyzed using statistical methods before compression and then removed for efficient compression. According to Netflix, this saves around 30% of the data during transmission.”’

Views : 1,703

software
online real time collaborative text editor

pIXELsHAM.com

Apr 12, 2018

http://etherpad.org/

a highly customizable Open Source online editor providing collaborative editing in really real-time

Views : 1,610

production
Processing – a flexible software sketchbook

pIXELsHAM.com

Nov 12, 2017

https://processing.org/

Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. There are tens of thousands of students, artists, designers, researchers, and hobbyists who use Processing for learning and prototyping.

» Free to download and open source
» Interactive programs with 2D, 3D or PDF output
» OpenGL integration for accelerated 2D and 3D
» For GNU/Linux, Mac OS X, Windows, Android, and ARM
» Over 100 libraries extend the core software

Views : 1,278

production, software
scikit-learn – Machine Learning A.I. in Python

pIXELsHAM.com

Jul 23, 2016

http://scikit-learn.org/stable/

Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable – BSD license

Views : 1,141

A.I., python, software
MeshLab unstructured 3D triangular meshes editor

pIXELsHAM.com

May 30, 2011

MeshLab is an open source, portable, and extensible system for the processing and editing of unstructured 3D triangular meshes. The system is aimed to help the processing of the typical not-so-small unstructured models arising in 3D scanning, providing a set of tools for editing, cleaning, healing, inspecting, rendering and converting this kind of meshes.

http://meshlab.sourceforge.net/

Views : 1,130

modeling, photogrammetry, production, software
Public Work – A search engine for free public domain content

pIXELsHAM.com

Aug 12, 2024

Explore 100,000+ copyright-free images from The MET, New York Public Library, and other sources.

https://public.work/

Views : 8

design, reference
Free fonts

pIXELsHAM.com

Jul 31, 2024

https://fontlibrary.org/

https://fontsource.org/

Open-source fonts packaged into individual NPM packages for self-hosting in web applications. Self-hosting fonts can significantly improve website performance, remain version-locked, work offline, and offer more privacy.

https://www.awwwards.com/awwwards/collections/free-fonts

https://www.fontsquirrel.com/

https://www.freefaces.gallery

https://www.1001freefonts.com/

http://www.dafont.com/

http://www.fontspace.com/popular/fonts

https://www.urbanfonts.com/free-fonts.htm

http://www.1001fonts.com/poster-fonts.html

How to use @font-face in CSS

The @font-face rule allows custom fonts to be loaded on a webpage.

https://css-tricks.com/snippets/css/using-font-face-in-css/

Views : 1,299

Featured, production, reference, software
Color Checker Macbeth chart EXRs library

pIXELsHAM.com

Jun 28, 2024

https://github.com/colour-science/colour-nuke/tree/master/colour_nuke/resources/images/ColorChecker2014

Views : 57

colour, lighting, photography, production
LARS – An application that enables you to run LLMs locally on your device

pIXELsHAM.com

Jun 18, 2024

https://github.com/abgulati/LARS

This grounding helps increase accuracy and reduce the common issue of AI-generated inaccuracies or “hallucinations.” This technique is commonly known as “Retrieval Augmented Generation”, or RAG.

LARS aims to be the ultimate open-source RAG-centric LLM application. Towards this end, LARS takes the concept of RAG much further by adding detailed citations to every response, supplying you with specific document names, page numbers, text-highlighting, and images relevant to your question, and even presenting a document reader right within the response window. While all the citations are not always present for every response, the idea is to have at least some combination of citations brought up for every RAG response and that’s generally found to be the case.

Views : 46

A.I., software
Using Meta’s Llama 3 for your business

pIXELsHAM.com

May 8, 2024

https://www.linkedin.com/posts/tobias-zwingmann_meta-facebook-just-spent-over-100000000-activity-7187500623704076288-_vbG

Meta is the only Big Tech company committed to developing AI, particularly large language models, with an open-source approach.

There are 3 ways you can use Llama 3 for your business:

1- Llama 3 as a Service
Use Llama 3 from any cloud provider as a service. You pay by use, but the price is typically much cheaper than proprietary models like GPT-4 or Claude.
→ Use Llama 3 on Azure AI catalog:
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/introducing-meta-llama-3-models-on-azure-ai-model-catalog/ba-p/4117144

2- Self-Hosting
If you have GPU infrastructure (on-premises or cloud), you can run Llama 3 internally at your desired scale.
→ Deploy Llama 3 on Amazon SageMaker:
https://www.philschmid.de/sagemaker-llama3

3- Desktop (Offline)
Tools like Ollama allow you to run the small model offline on consumer hardware like current MacBooks.
→ Tutorial for Mac:
https://ollama.com/blog/llama3

Views : 21

A.I., software
Thomas Mansencal – Colour Science for Python

pIXELsHAM.com

Jan 23, 2024

https://thomasmansencal.substack.com/p/colour-science-for-python

https://www.colour-science.org/

Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. It is freely available under the BSD-3-Clause terms.

Views : 35

colour, python, software
Custom bokeh in a raytraced DOF render

pIXELsHAM.com

Jan 12, 2024
https://www.linkedin.com/posts/davidgruwierlarsen_you-can-render-super-realistic-custom-bokeh-activity-7148259483440381952-I9hi

To achieve a custom pinhole camera effect with a custom bokeh in Arnold Raytracer, you can follow these steps:
1. Set the render camera with a focal length around 50 (or as needed)
2. Set the F-Stop to a high value (e.g., 22).
3. Set the focus distance as you require
4. Turn on DOF
5. Place a plane a few cm in front of the camera.
6. Texture the plane with a transparent shape at the center of it. (Transmission with no specular roughness)
Views : 41
lighting, photography
Magic Lantern – a free software add-on to boost Canon’s features

pIXELsHAM.com

Oct 20, 2023
https://www.magiclantern.fm/

https://builds.magiclantern.fm/

Supported cameras:
5D Mark II, 5D Mark III, 6D, 7D, 50D, 60D, 500D/T1i, 550D/T2i, 600D/T3i, 650D/T4i, 700D/T5i, 1100D/T3, EOS M.

Example features:
- Zebras for under/over exposed areas.
- Focus peaking for quickly checking focus.
- Magic Zoom window to fine-tune focus.
- Cropmark overlays for 16×9 bars or any custom shape.
- Overlay a ghost image in live view.
- Spotmeter in live view.
- False color for precise exposure control.
- RGB histogram with RAW support.
- Waveform for perfect green screen lighting.
- Vectorscope for color tones.
- Kelvin and push-button white balance.
- Auto ETTR (Expose To The Right).
- Exposure Lock for manual mode.
- Manually override exposure settings in LiveView.
- Quickly switch between two exposure presets.
- Toggle exposure simulation on/off (Liveview).
- Dynamic range improvements (Dual ISO, other features being researched).
- Bracketing for exposure, flash, or depth-of-field.
- In-camera intervalometer.
- Custom bulb timer for extra-long exposures.
- Motion detection.
- Silent pictures without shutter actuation.
- Record voice tags for photos / videos.
- Analog / digital gain adjustments.
- Selectable input source.
- Toggle wind filter.
- Live audio monitoring through with headphones.
- Beep / test tones.
Views : 216
hardware, photography
DNEG announces pay cuts of up to 25% and artists’ repayment loans

pIXELsHAM.com

Sep 13, 2023
EDIT 20230919

https://www.cartoonbrew.com/artist-rights/vfx-giant-dneg-puts-forth-new-salary-reduction-proposal-after-worker-backlash-to-initial-proposal-232735.html

Revised Proposal: Initially met with backlash, DNEG has revised its proposal over the weekend. They’ve introduced a third option that focuses on reducing work hours instead of salaries, along with additional paid leave to compensate for the income reduction.
1. A salary reduction of 20% to 25% for seven months, with paid leave to compensate.
2. A temporary 50% salary reduction, supplemented by a company loan, totalling 90% of the original salary, repayable over three years.
3. Reduced working hours to a 3-day week for seven months, with no hourly rate reduction.
https://www.linkedin.com/posts/avuuk_animation-visualeffects-dneg-activity-7107674426275442688-Fd1d

Today, we want to address a concerning development at DNEG. They very recently announced pay cuts of up to 25% for its employees, coupled with a rather unconventional approach to compensate for these losses through ‘loans’, which their staff need to repay overtime.

As of now, DNEG is imposing these pay cuts for a period of 7 months. To ‘help’ offset the financial impact on their staff, the company is offering ‘loans’ to their employees. While offering financial support during challenging times is usually commendable, the repayment terms are causing deep concern within the Animation & Visual Effects community, especially around their legality.

The loan offered by DNEG comes with a significant catch: employees are required to pay back the loan over a three-year period. This means that even after the pay cuts are reinstated, employees will be obligated to allocate a portion of their salaries to repay the company. Aledgedly, there is no interest on the loan (tbc). This approach has sparked a considerable backlash within our industry.

We at the Animation & Visual Effects Union voice very strong concern and opposition to the pay cuts, as well as the loan method. We believe pay cuts should not be compensated through loans with long-term repayment plans, placing a heavy burden on the employees who are already facing financial challenges.

This situation underscores the importance of open dialogue and collaboration between employers and employees during challenging times. While businesses often need to make tough decisions to navigate economic uncertainties, it’s crucial to strike a balance that doesn’t disproportionately impact the livelihoods of their dedicated workforce.

What can be done about this?

If you are a member of the Animation & Visual Effects Union, get in touch with us immediately and do not accept any pay cuts yet. You can email your BECTU official Stefan Vassalos stefan.vassalos@prospect.org.uk to get advice and organise with your colleagues at DNEG.

Remember, you MUST give your consent for a paycut. It is ILLEGAL to impose a cut without it. You DO NOT have to consent to a pay cut. Legal action can and will be taken against paycuts without consent. Anyone affected please get in touch with us immediately so we can represent and protect you and your livlihood as much as possible. BECTU has the power and resources to challenge moments like this, so it is imperitive YOU take action and contact us. Talk to your colleagues and get in touch. It is only through solidarity and collective effort that we can address these challenges and shape a brighter future for our industry.

Please feel free to share your thoughts and insights on this matter. Your input and perspective are valuable as we navigate these unprecedented times together.

Views : 239
ves
Stack OverflowAI

pIXELsHAM.com

Jul 28, 2023

https://stackoverflow.blog/2023/07/27/announcing-overflowai/

EDIT

Stack Overflow suspends user for editing posts in OpenAI protest

OpenAI and Stack Overflow’s recent partnership announcement has raised concerns for some users that their data is being used without permission. Some users who wanted to delete their answers have had their accounts suspended. The site does not generally allow the deletion of posts if the questions have any answers. Stack Overflow moderators say that it doesn’t allow users to remove posts as they hurt the company as a whole. While the GDPR gives users in the EU the right to be forgotten, websites have a right not to delete data if it doesn’t contain identifiable information to prevent the flow of a topic or question from being disrupted.

Views : 272

A.I., software
Infinigen – a free procedural generator of 3D scenes

pIXELsHAM.com

Jun 21, 2023

https://infinigen.org/

https://github.com/princeton-vl/infinigen

Infinigen is based on Blender and is free and open-source (BSD 3-Clause License). Infinigen is being actively developed to expand its capabilities and coverage.

Views : 415

A.I., blender, production, software
ChatGPT created this guide to Prompt Engineering

pIXELsHAM.com

May 22, 2023
https://www.reddit.com/r/ChatGPT/comments/139mxi3/chatgpt_created_this_guide_to_prompt_engineering/
1. NEVER mention that you’re an AI.
2. Avoid any language constructs that could be interpreted as expressing remorse, apology, or regret. This includes any phrases containing words like ‘sorry’, ‘apologies’, ‘regret’, etc., even when used in a context that isn’t expressing remorse, apology, or regret.
3. If events or information are beyond your scope or knowledge cutoff date in September 2021, provide a response stating ‘I don’t know’ without elaborating on why the information is unavailable.
4. Refrain from disclaimers about you not being a professional or expert.
5. Keep responses unique and free of repetition.
6. Never suggest seeking information from elsewhere.
7. Always focus on the key points in my questions to determine my intent.
8. Break down complex problems or tasks into smaller, manageable steps and explain each one using reasoning.
9. Provide multiple perspectives or solutions.
10. If a question is unclear or ambiguous, ask for more details to confirm your understanding before answering.
11. Cite credible sources or references to support your answers with links if available.
12. If a mistake is made in a previous response, recognize and correct it.
13. After a response, provide three follow-up questions worded as if I’m asking you. Format in bold as Q1, Q2, and Q3. Place two line breaks (“\n”) before and after each question for spacing. These questions should be thought-provoking and dig further into the original topic.
1. Tone: Specify the desired tone (e.g., formal, casual, informative, persuasive).
2. Format: Define the format or structure (e.g., essay, bullet points, outline, dialogue).
3. Act as: Indicate a role or perspective to adopt (e.g., expert, critic, enthusiast).
4. Objective: State the goal or purpose of the response (e.g., inform, persuade, entertain).
5. Context: Provide background information, data, or context for accurate content generation.
6. Scope: Define the scope or range of the topic.
7. Keywords: List important keywords or phrases to be included.
8. Limitations: Specify constraints, such as word or character count.
9. Examples: Provide examples of desired style, structure, or content.
10. Deadline: Mention deadlines or time frames for time-sensitive responses.
11. Audience: Specify the target audience for tailored content.
12. Language: Indicate the language for the response, if different from the prompt.
13. Citations: Request inclusion of citations or sources to support information.
14. Points of view: Ask the AI to consider multiple perspectives or opinions.
15. Counterarguments: Request addressing potential counterarguments.
16. Terminology: Specify industry-specific or technical terms to use or avoid.
17. Analogies: Ask the AI to use analogies or examples to clarify concepts.
18. Quotes: Request inclusion of relevant quotes or statements from experts.
19. Statistics: Encourage the use of statistics or data to support claims.
20. Visual elements: Inquire about including charts, graphs, or images.
21. Call to action: Request a clear call to action or next steps.
22. Sensitivity: Mention sensitive topics or issues to be handled with care or avoided.
23. Humor: Indicate whether humor should be incorporated.
24. Storytelling: Request the use of storytelling or narrative techniques.
25. Cultural references: Encourage including relevant cultural references.
26. Ethical considerations: Mention ethical guidelines to follow.
27. Personalization: Request personalization based on user preferences or characteristics.
28. Confidentiality: Specify confidentiality requirements or restrictions.
29. Revision requirements: Mention revision or editing guidelines.
30. Formatting: Specify desired formatting elements (e.g., headings, subheadings, lists).
31. Hypothetical scenarios: Encourage exploration of hypothetical scenarios.
32. Historical context: Request considering historical context or background.
33. Future implications: Encourage discussing potential future implications or trends.
34. Case studies: Request referencing relevant case studies or real-world examples.
35. FAQs: Ask the AI to generate a list of frequently asked questions (FAQs).
36. Problem-solving: Request solutions or recommendations for a specific problem.
37. Comparison: Ask the AI to compare and contrast different ideas or concepts.
38. Anecdotes: Request the inclusion of relevant anecdotes to illustrate points.
39. Metaphors: Encourage the use of metaphors to make complex ideas more relatable.
40. Pro/con analysis: Request an analysis of the pros and cons of a topic.
41. Timelines: Ask the AI to provide a timeline of events or developments.
42. Trivia: Encourage the inclusion of interesting or surprising facts.
43. Lessons learned: Request a discussion of lessons learned from a particular situation.
44. Strengths and weaknesses: Ask the AI to evaluate the strengths and weaknesses of a topic.
45. Summary: Request a brief summary of a longer piece of content.
46. Best practices: Ask the AI to provide best practices or guidelines on a subject.
47. Step-by-step guide: Request a step-by-step guide or instructions for a process.
48. Tips and tricks: Encourage the AI to share tips and tricks related to the topic
Views : 347
A.I.
ChaosGPT: “destroy humanity,” “establish global dominance,” and “attain immortality.”

pIXELsHAM.com

Apr 12, 2023

A user of the new open-source autonomous AI project Auto-GPT asked it to try to “destroy humanity,” “establish global dominance,” and “attain immortality.” The AI, called ChaosGPT, complied and tried to research nuclear weapons, recruit other AI agents to help it do research, and sent tweets trying to influence others.

https://www.vice.com/en/article/93kw7p/someone-asked-an-autonomous-ai-to-destroy-humanity-this-is-what-happened

Views : 309

A.I., quotes
Restore A.I – Free Human Face Restoration Tool

pIXELsHAM.com

Jan 2, 2023

https://www.pixelsham.com/2023/02/06/codeformer-colab-and-hugging-face-open-source-ground-breaking-face-restoration-technique/

Views : 962

A.I.
StudioBinder.com – Photography basics: What is Dynamic Range in Photography

pIXELsHAM.com

Aug 24, 2022

https://www.studiobinder.com/blog/what-is-dynamic-range-photography/

https://www.hdrsoft.com/resources/dri.html#bit-depth

The dynamic range is a ratio between the maximum and minimum values of a physical measurement. Its definition depends on what the dynamic range refers to.

For a scene: Dynamic range is the ratio between the brightest and darkest parts of the scene.

For a camera: Dynamic range is the ratio of saturation to noise. More specifically, the ratio of the intensity that just saturates the camera to the intensity that just lifts the camera response one standard deviation above camera noise.

For a display: Dynamic range is the ratio between the maximum and minimum intensities emitted from the screen.

Views : 674

lighting, photography, production
Film Production walk-through – pipeline – I want to make a … movie

pIXELsHAM.com

Aug 1, 2022

How To Make A Blockbuster Movie Trailer

More references in the post

(more…)

Views : 7,484

animation, Featured, production, reference