Showing results for Mask Vector Vector Vector Vector Vector
GitHub Repo
https://github.com/CrossmodalGroup/MaskedVectorQuantization
CrossmodalGroup/MaskedVectorQuantization
Official Pytorch Implementation of Our CVPR2023 Paper: "Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation"
GitHub Repo
https://github.com/fcaprile/PyFocus
fcaprile/PyFocus
This is PyFocus, a Python package that provides high-level functions and an user interface to perform full vectorial calculations of the focus of an electromagnetic field that has been modulated by a custom phase mask.
GitHub Repo
https://github.com/swiftuiux/swiftui-loop-videoPlayer
swiftuiux/swiftui-loop-videoPlayer
swift video player subtitles, looping, live video in background, vector effect, mac, macos, tvos, hint, stream, tip, tooltip, sdk, PiP, video mask, loop bg, cornerradius, Full screen, fit Swiftui, video from url streaming, remote video, playback, metal shader, filter, tvos, corner radius, Metal Shaders, example, uikit 비디오 플레이어 视频播放器 ビデオプレーヤー
GitHub Repo
https://github.com/http406/Vector-Field-matplotlib
http406/Vector-Field-matplotlib
Vector fields associate a 2D vector to each point of the 2D plane. Vector fields are common in Physics as they provide solutions to differential equations. Matplotlib provides functions to visualize vector fields. To illustrate the visualization of vector fields, let's visualize the velocity flow of an incompressible fluid around a cylinder. We do not need to bother about how to compute such a vector field but only about how to show it. The pyplot.quiver() function is what we need. How the project work: Although the script is a bit long, the purely graphical part is simple. The vector field is stored in the matrices U and V: the coordinates of each vector we sampled from the vector field. The matrices X and Y contain the sample positions. The matrices X, Y, U, and V are passed to pyplot.quiver(), which renders the vector field. Note that pyplot.quiver() can take just U and V as parameters, but then the legend will show the indexes of the samples rather than their coordinates. As the vector field that we used as an illustration here the fluid flow around a shape, the shape itself is shown as follows: shape = patches.Circle((0, 0), radius = 1., lw = 2., fc = 'w', ec = 'k', zorder = 0) plt.gca().add_patch(shape) The vector field inside the cylinder does not appear; we use a masked array. We first create a mask that defines which samples should be shown. Then, we apply this mask on U and V, as shown in the script.
GitHub Repo
https://github.com/erdogant/findpeaks
erdogant/findpeaks
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
GitHub Repo
https://github.com/SmartToolFactory/Compose-Cropper
SmartToolFactory/Compose-Cropper
🚀🏞✂️ Image cropper that can crop with static, dynamic crop behavior, can use customizable shapes, vectors, and other png files as mask to crop with various customizations
GitHub Repo
https://github.com/DPIRD-DMA/OmniWaterMask
DPIRD-DMA/OmniWaterMask
Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.
GitHub Repo
https://github.com/xiaolul2/MGMap
xiaolul2/MGMap
[CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"
GitHub Repo
https://github.com/wuliaobaxian/ShieldSentinel-AI
wuliaobaxian/ShieldSentinel-AI
Enterprise AI Security Gateway — PII masking, prompt injection & vector attack detection
GitHub Repo
https://github.com/codezri/react-native-opener-demo