Make drawing and labeling bounding boxes a piece of cake
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Updated
Jun 27, 2025 - Python
Make drawing and labeling bounding boxes a piece of cake
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Get labels' position to make faster r-cnn samples. 制作 faster r-cnn 样本
Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".
Labeling tool for image annotations
Detection is performed by combining two approaches: Yolo bounding box and pose landmarks, where both outputs are mapped into a 10x10 grid (made with OpenCV), which serves as a reference for the wheelchair to avoid obstacles. Commands are sent from the NUC to the ESP32, which then moves the motor.
OpenCVを用いたバウンディングボックス装飾の作例集。
RnD effort (to overlay polygon on video) that is more towards using opencv or PIL for overlay and using some annotation tools to get the polyline/bounding box.
A Robust, light-weight and unique 3D object detection architecture providing results (better than the conventional architectures) in real-time autonomous driving scenarios
Python library for Object Detection metrics.
A real-time object detection system that identifies and classifies objects in images or video streams using deep learning models like YOLO, Faster R-CNN, or SSD. Built with TensorFlow and OpenCV, it supports applications in surveillance, autonomous vehicles, and more.
Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
Tool to inflate the bounding box of a Collada file to match the bounding box of another.
Implementation for 3D bounding box prediction of objects using images, point clouds, and segmentation masks.
Annotate images with bounding boxes inside Jupyter*
A utility script to transform bounding boxes along with the object image.
A real time face detection that captures video from your webcam. Highlights detected faces with bounding boxes in the live feed.
Multi-class bounding box labeling tool
This project is aimed at converting between two representations of text detection bounding box labels (rotated rectangle bounding boxes): txt and xml.
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