We write your reusable computer vision tools. 💜
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Updated
May 20, 2024 - Python
We write your reusable computer vision tools. 💜
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Open source Python library for building bioimage analysis pipelines
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Python Computer Vision & Video Analytics Framework With Batteries Included
Images to inference with no labeling (use foundation models to train supervised models).
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
OpenMMLab Detection Toolbox and Benchmark
[CVPR 2024] DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
一键训练yolov8目标检测或者实例分割模型,只需要输入一个图片路径,根据提示训练。包含一键导出onnx
A tool with GUI and CUI for image analysis based on deep learning
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
Official Github for "PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling" (NeurIPS 2023 Workshop)
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Syclops is a tool for creating synthetic data from 3D virtual environments with photorealistic renderings and pixel-perfect annotations.
Semi-active suspension system regulated by Fuzzy Logic, utilizing sensor input and object detection on Raspberry Pi 5
基于官方yolov8的onnxruntime的cpp例子修改,目前已经支持图像分类、目标检测、实例分割。Based on the cpp example modification of official yolov8's onnxruntime, it currently supports image classification, target detection, and instance segmentation.
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