Pinned Repositories
3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
3d-tiles
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
3d-tiles-samples
Sample tilesets for learning how to use 3D Tiles :books:
3DCNN-Vis
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
A-Hybrid-Method-for-Pavement-Crack-Width-Measurement
A method to calculate the width of a binary image as described in:
A_Fast_And_Accurate_Robotic_Grasping_System_Using_Deep_Learning
acerta-abide
Deep learning using the ABIDE data
AS_6Dof_Arm
robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms
COCO-dataset-explorer
Streamlit tool to explore coco datasets
PYQT5-yolov5-1
PYQT5 Yolov5 python GUI
KEniuniu's Repositories
KEniuniu/PYQT5-yolov5-1
PYQT5 Yolov5 python GUI
KEniuniu/3d-tiles
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
KEniuniu/3d-tiles-samples
Sample tilesets for learning how to use 3D Tiles :books:
KEniuniu/A-Hybrid-Method-for-Pavement-Crack-Width-Measurement
A method to calculate the width of a binary image as described in:
KEniuniu/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
KEniuniu/Crack-Detection-TF-1.x.x
Mask and instance-based crack detection for Python 3, Keras and TensorFlow 1.x.x
KEniuniu/CustomTkinter
A modern and customizable python UI-library based on Tkinter
KEniuniu/CV_final_experiment
计算机视觉大作业
KEniuniu/Dash-by-Plotly
Interactive data analytics
KEniuniu/dash-sample-apps
Open-source demos hosted on Dash Gallery
KEniuniu/dash-uploader
The alternative upload component for python Dash applications.
KEniuniu/example-app-commenting
A Streamlit app to show how you can easily empower viewers to comment and collaborate on your app using a commenting component. The comments are hosted on a Google Sheets.
KEniuniu/geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
KEniuniu/hydralit
A library to create multi-page Streamlit applications with ease.
KEniuniu/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
KEniuniu/labelGo-Yolov5AutoLabelImg
💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕一个基于labelImg及YOLOV5的图形化半自动标注工具
KEniuniu/leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
KEniuniu/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
KEniuniu/MultiView-3D-Reconstruction
Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.
KEniuniu/panorama
Image alignment and stitching with MATLAB
KEniuniu/PyQT-Object-Detection-App
Real-time object detection app with Python and PyQt framework.
KEniuniu/pyqt-yolo-image-processing-gui
KEniuniu/PySimpleGUI-YOLO
A YOLO Artificial Intelligence algorithm demonstration using PySimpleGUI
KEniuniu/QT-PyQt-PySide-Custom-Widgets
Awesome custom widgets made for QT Desktop Applications. Simplify your UI development process. These widgets can be used in QT Designer then imported to PySide code.
KEniuniu/Streamlit-Authenticator
A secure authentication module to validate user credentials in a Streamlit application.
KEniuniu/streamlit-drawable-canvas
Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
KEniuniu/streamlit-geospatial
A multi-page streamlit app for geospatial
KEniuniu/streamlit-webrtc
Real-time video and audio streams over the network, with Streamlit.
KEniuniu/YOLOv5-GUI
🎉Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). 🎉YOLOv5算法(ver.6及ver.5)的Qt-GUI实现
KEniuniu/yolov7
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥