The official implement of "VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning"
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Updated
May 30, 2025 - Python
The official implement of "VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning"
An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.
CVPR2023 Zero-shot Counting
Counting number of Objects using Python-OpenCV
A computer vision deep learning model to automatically count the number of rebars.
Counting Sheep without Sleep. This project utilizing YOLO and several image processing techniques to accurately track, count and segment sheep.
Image Processing Mini Projects | Python, OpenCV, NumPy, Matplotlib
annotation environment for object counting
In this repo I am sharing a simple code for detecting and counting cars.
Image processing using various algorithms on openCV
Project I did during 5th semester for course Introduction to image processing (Wprowadzenie do przetwarzania obrazów). Final MARPE was 0.5625%.
This work is an extension of the project https://github.com/ablanco1950/LicensePlate_Yolov8_Filters_PaddleOCR adding the possibility to detect the speed, tracking and counting cars
Counting of Human Faces in a Frame
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
annotation environment for object counting
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