NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
Jul 16, 2024 - Python
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🚀 TensorRT-YOLO: Supports YOLOv3, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, and PP-YOLOE using TensorRT acceleration with EfficientNMS, CUDA Kernels and CUDA Graphs!
It's a work-in-progress repo!
Develop a real-time object detection algorithm using computer vision and machine learning techniques.
Implementation of popular deep learning networks with TensorRT network definition API
YAYA - Yet annother YOLO annoter for images (in QT5). Support yolo format, image modifications, labeling and detecting with previously trained detector.
This repository contains all the necessary material to implement a YOLOv3 object detection algorithm on the PYNQ-Z2 FPGA. There is a step-by-step tutorial associated so everyone can do it.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Drowning Detector - A computer vision project using OpenCV and deep learning to detect drowning incidents in videos.
Aims at helping Policemen to identify a potentially dangerous situation like a person holding a deadly weapon and is trained especially for detection of the presence of GUNS in an image.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
My 2nd sem uni project with Ahsan and Umar as team members
Offers Neural Network Recognition (Yolov3) of IP Camerafeeds and signalling
YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).
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