Python Computer Vision & Video Analytics Framework With Batteries Included
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Updated
Jun 11, 2024 - Python
Python Computer Vision & Video Analytics Framework With Batteries Included
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A FYP project for degree. It is a web app that provide automatic guitar chord recognition by using visual data.
Images to inference with no labeling (use foundation models to train supervised models).
The cards-object-detection repository on GitHub is a project that utilizes OpenCV with Python to create a visual detection system for card games. It's designed to capture and process data in real time during a card game, leveraging OpenCV's powerful image-processing capabilities to identify cards.
Edge computing models for IoT Analytics
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
Developing a pipeline for Hand Gesture Recognition
🍷 Gracefully claim weekly free games and monthly content from Epic Store.
Driver Drowsiness Detection with YOLOv8 and Facial Features Combat driver fatigue with this deep learning-powered system that utilizes YOLOv8 to detect open and closed eyes, accurately assessing drowsiness levels.
AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)
This generates a concise and contextual summary for a given cricket match video utilizing only visual information
Zone Evaluation: Revealing Spatial Bias in Object Detection (TPAMI 2024)
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
YOLOv8 implementation to run in a JetsonNano and send detected object bounding boxes through serial port
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
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