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基于AI的图片/视频硬字幕去除、文本水印去除，无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API，本地实现。AI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures.
Python tools for obtaining and working with ICESat-2 data
Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.
The CAMShift (Continuously Adaptive Mean Shift) algorithm is a colour-based object tracking method introduced by Gary Bradski in 1998
Individual Tree Extraction from Urban Mobile Laser Scanning Point Clouds Using Deep Pointwise Direction Embedding
[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)
基于Python OpenCV的图像算法原理及代码示例｜平移变换、尺度变换、旋转变换、仿射变换 求反、动态范围压缩、阶梯量化、阈值分割 加法、平均法消除噪声、减法 直方图均衡化、直方图规定化 线性平滑滤波器、线性锐化滤波器、非线性平滑滤波器、非线性锐化滤波器 傅里叶变换和反变换 理想滤波器、巴特沃斯滤波器，指数滤波器 高频增强滤波器、高频提升滤波器 带通带阻滤波器、同态滤波器 均值滤波器、排…
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Simple implementation of mean shift clustering in python
napari plugin for iteratively improving 3D instance segmentation of cells (u-net x watershed)
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Hyperspectral remote sensing images have high spectral resolution, but they can only provide two-dimensional spatial information, and some materials may have similar spectrum. In addition, hyperspe…
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
The K-Means algorithm, written from scratch using the Python programming language
🌎 Simple and fast watershed delineation in python.
通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
A simple implementation of DBSCAN in Python
A 3D Object detection pipeline using 3D LiDAR points
Implementation of DBSCAN Algorithm in Python.
The rrf file obtained TOF is converted into 3D point cloud coordinates and saved into csv file. The object distance is calculated by DBSCAN method.
【Tools】Face recognition and attribute segmentation using Python, dlib, and One Millisecond Face Alignment with an Ensemble of Regression Trees](http://www.cv-foundation.org/openaccess/content_cvpr_…
PyCrown - Fast raster-based individual tree segmentation for LiDAR data