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Showing 185 open source projects for "which"
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MoviePy
Video editing with Python
MoviePy is a Python module for video editing, which can be used for basic operations (like cuts, concatenations, title insertions), video compositing (a.k.a. non-linear editing), video processing, or to create advanced effects. It can read and write the most common video formats, including GIF. MoviePy is an open source software originally written by Zulko and released under the MIT licence. -
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Streamlink
Streamlink is a CLI utility which pipes video streams
Streamlink is a command-line utility that pipes video streams from various services into a video player, such as VLC. The main purpose of Streamlink is to avoid resource-heavy and unoptimized websites, while still allowing the user to enjoy various streamed content. There is also an API available for developers who want access to the stream data. Streamlink is built upon a plugin system that allows support for new services to be easily added. Most of the big streaming services are supported.... -
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The FreeMoCap Project
Free Motion Capture for Everyone
...The project’s goal is to democratize motion capture by removing the need for expensive suits or proprietary studio hardware, instead relying on computer vision and pose estimation pipelines. It processes synchronized video feeds to reconstruct skeletal motion, which can then be exported for animation, biomechanics research, or creative projects. FreeMoCap includes tools for calibration, recording, processing, and visualization, allowing users to move from raw footage to structured motion data within a single ecosystem. Because it is open and extensible, researchers and developers can adapt the pipeline for specialized motion analysis or integrate it into animation workflows. -
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rich
Rich is a Python library for rich text and beautiful formatting
...True color/emoji works with new Windows Terminal, classic terminal is limited to 16 colors. Rich requires Python 3.7 or later. Effortlessly add rich output to your application, you can import the rich print method, which has the same signature as the builtin Python function. Rich can be installed in the Python REPL, so that any data structures will be pretty printed and highlighted. As you might expect, this will print "Hello World!" to the terminal. Note that unlike the builtin print function, Rich will word-wrap your text to fit within the terminal width. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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AudioCraft
Audiocraft is a library for audio processing and generation
...It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. ... -
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Tauon
The music player of today
Tauon is a modern, streamlined music player app that's packed with features! An emphasis on playlists and drag-and-drop importing puts you in control of your music library. Faded volume control, 24-bit FLAC support, and gapless playback provide the ultimate listening experience. Excellent CUE sheet support, an original smart playlist system, and network playback from koel or Airsonic servers. Last.fm, Listenbrainz, and Maloja scribbling. MPRIS2 support for desktop integration. Tauon is a... -
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Segmentation Models
Segmentation models with pretrained backbones. PyTorch
...Preparing your data the same way as during weights pre-training may give you better results (higher metric score and faster convergence). It is not necessary in case you train the whole model, not only the decoder. Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels. -
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Image-Editor
AI based photo editing website for changing image background
...Then to, create a new Django project using django-admin startproject Website1, replacing 'Website1' with the name of your choice. Image-Editor uses Python's cv2 library, which provides an easy and efficient way to work with images and videos, including a wide range of image processing and computer vision algorithms. With cv2, you can easily read, write, filter, and display images, and much more. Image-Editor uses Mediapipe's selfie_segmentation model for background removal in real-time video streams. This advanced model uses deep neural networks to detect and remove the background. -
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ML Sharp
Sharp Monocular View Synthesis in Less Than a Second
...The core idea is speed: the 3D representation is produced in under a second on a standard GPU, and then the resulting scene can be rendered in real time to generate new views interactively. The representation is metric, meaning it supports camera movements with an absolute scale rather than only relative depth cues, which is useful for consistent viewpoint changes and downstream spatial tasks. The project is structured for reproducibility, with code and assets aimed at demonstrating view synthesis quality, sharp details, and fine structures when rendering high-resolution images. -
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Mozc Devices
Circuit diagrams and firmware source code for Gboard DIY keyboards
mozc-devices is an open source collection of circuit diagrams, firmware, and technical documentation for a series of experimental and often humorous Gboard and Google Japanese Input hardware keyboards, many of which were originally released as April Fools’ projects by Google Japan. Each subproject in the repository corresponds to a unique input device prototype, including versions such as the Drum Set, Morse Code, Patapata, Magic Hand, Piropiro, Physical Flick, Puchi Puchi, Nazoru, Mageru, Yunomi, Bar, Caps, Double Sided, and Dial editions. ... -
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Moshi
A speech-text foundation model for real time dialogue
...At inference, the stream from the user is taken from the audio input, and the one for Moshi is sampled from the model's output. Along these two audio streams, Moshi predicts text tokens corresponding to its own speech, its inner monologue, which greatly improves the quality of its generation. A small Depth Transformer models inter codebook dependencies for a given time step, while a large, 7B parameter Temporal Transformer models the temporal dependencies. -
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asciinema
Open source terminal session recorder
...It lets you easily record and play back terminal sessions in the terminal or in a web browser. Forget old screen recording methods and resulting blurry videos. asciinema lets you record your terminal sessions the right way, which is right where you work, in the terminal. Recording is as easy as running one command, and since it’s purely text-based you can copy and paste any content you want, simply pause the recording! You can also easily share your recordings on the web, embed an asciicast player in your blog post, project documentation page or in your conference talk slides. ... -
13
ipyvizzu
Build animated charts in Jupyter Notebook and similar environments
ipyvizzu - Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax ipyvizzu is an animated charting tool for Jupyter, Google Colab, Databricks, Kaggle and Deepnote notebooks among other platforms. ipyvizzu enables data scientists and analysts to utilize animation for storytelling with data using Python. It's built on the open-source JavaScript/C++ charting library Vizzu. There is a new extension of ipyvizzu, ipyvizzu-story with which the animated charts can be presented right from the notebooks. Since ipyvizzu-story's syntax is a bit different to ipyvizzu's, we suggest you to start from the ipyvizzu-story repo if you're interested in using animated charts to present your findings live or to share your presentation as an HTML file. -
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Perfect Pixel
Refine and quantize messy AI pixel art into clean, perfect pixels
perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. This makes it useful for game developers, sprite artists, and hobbyists who want to use AI-assisted ideation without shipping “almost pixel art” assets. ... -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. -
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Audiomentations
A Python library for audio data augmentation
...A folder of (background noise) sounds to be mixed in must be specified. These sounds should ideally be at least as long as the input sounds to be transformed. Otherwise, the background sound will be repeated, which may sound unnatural. Note that the gain of the added noise is relative to the amount of signal in the input. This implies that if the input is completely silent, no noise will be added. -
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PyRx - Virtual Screening Tool
Virtual Screening software for Computational Drug Discovery
...PyRx enables Medicinal Chemists to run Virtual Screening from any platform and helps users in every step of this process - from data preparation to job submission and analysis of the results. While it is true that there is no magic button in the drug discovery process, PyRx includes docking wizard with easy-to-use user interface which makes it a valuable tool for Computer-Aided Drug Design. PyRx also includes chemical spreadsheet-like functionality and powerful visualization engine that are essential for Rational Drug Design. Please visits PyRx home page to learn more about PyRx and watch videos on how to use it. -
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Stable Diffusion Rembg
Removes backgrounds from pictures. Extension for webui
...Because it runs within the Web UI, you can chain it with other operations such as upscaling, inpainting, or ControlNet to refine edges and composites. Batch processing helps clear backgrounds from whole sets of renders, which is useful for asset pipelines, catalogs, and thumbnails. The extension aims for convenience and predictable results, sparing users from round-tripping through separate editors just to knock out a background. -
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Comic panel detection
Program, written in python, which detect panels in comics
Program, written in python, which detect panels in comics, based on Max Halford's tutorial "https://maxhalford.github.io/blog/comic-book-panel-segmentation/". It allows you to process Jpg/Png images in a folder , and then save the individual panels in a folder or in a single pdf file. Unfortunately it is far from perfect and makes many mistakes especially with "black and white" comics. -
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MMEditing
MMEditing is a low-level vision toolbox based on PyTorch
...With elaborate designs of the new framework and careful implementations, hope MMEditing could provide a better experience. When installing PyTorch in Step 2, you need to specify the version of CUDA. If you are not clear on which to choose, follow our recommendations. -
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FluidPatcher
A performance-oriented patch interface for FluidSynth
...A patch is a collection of settings such as soundfont presets for each MIDI channel, control-change/sysex messages to send when the patch is selected, and midi router or effects settings. Groups of patches are stored in banks, which are saved as human-readable and -editable YAML files. This allows a musician to easily create complex combinations of synthesizer settings ahead of time and switch between them on the fly during a performance. -
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linux-file-converter-addon
Convert various image, audio and video formats from your context menu.
...It adds a new option to the context menu to create an easy way to convert between a huge amount of file types. The program offers many options to customize the appearance of its context menu. There are also a few extra formats which can be added by installing optional dependencies. The tool has a built-in auto-update function to make sure the newest version is always installed. -
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Nostalgic Photo DataBase (platform)
Active repository of jpeg-photos with tags suitable for personal needs
...This versatile system allows users to organize and search through their collection using customizable tags, catering to images of any vintage. One of NPDB's key features is its flexible tagging system, which allows users to categorize their images using an arbitrary set of tags tailored to their preferences. This intuitive approach streamlines the organization process, making it easier than ever to locate specific images amidst a vast collection. Powered by an embedded SQL database, NPDB delivers lightning-fast search results, ensuring that users can access the images they need almost instantaneously. ... -
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DALL-E 2 - Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as the denoising network) To train DALLE-2 is a 3 step process, with the training of CLIP being the most important. ... -
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Stable Diffusion in Docker
Run the Stable Diffusion releases in a Docker container
Run the Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. Run the Stable Diffusion releases on Huggingface in a GPU-accelerated Docker container. By default, the pipeline uses the full model and weights which requires a CUDA capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image. On less powerful GPUs you may need to modify some of the options; see the Examples section for more details. If you lack a suitable GPU you can set the options --device cpu and --onnx instead. Since it uses the model, you will need to create a user access token in your Huggingface account. ...
