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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
| Date | Stars |
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| 2026-07-24 | 929 |
| 2026-07-25 | 929 |
| 2026-07-28 | 929 |
| 2026-07-30 | 929 |
| 2026-08-06 | 929 |
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# VEHICLE DETECTION, TRACKING AND COUNTING This sample project focuses on "Vechicle Detection, Tracking and Counting" using [**TensorFlow Object Counting API**](https://github.com/ahmetozlu/tensorflow_object_counting_api). ***Please contact if you need professional vehicle detection & tracking & counting project with the super high accuracy!*** --- ***The [TensorFlow Object Counting API](https://github.com/ahmetozlu/tensorflow_object_counting_api) is used as a base for object counting on this project, more info can be found on this [repo](https://github.com/ahmetozlu/tensorflow_object_counting_api).*** --- <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/36344830-095cc4ec-1431-11e8-8e57-976c40d87cf9.gif"> </p> --- ***The developing is on progress! This sample project will be updated soon, the more talented traffic analyzer app will be available in this repo!*** --- ## General Capabilities of This Sample Project This sample project has more than just counting vehicles, here are the additional capabilities of it: - Detection and classification of the vehicles (car, truck, bicycle, motorcycle, bus) - Recognition of approximate vehicle color - Detection of vehicle direction of travel - Prediction the speed of the vehicle - Prediction of approximate vehicle size - **The images of detected vehicles are cropped from video frame and they are saved as new images under "[detected_vehicles](https://github.com/ahmetozlu/vehicle_counting_tensorflow/tree/master/detected_vehicles)" folder path** - **The program gives a .csv file as an output ([traffic_measurement.csv](https://github.com/ahmetozlu/vehicle_counting_tensorflow/blob/master/traffic_measurement.csv)) which includes "Vehicle Type/Size", " Vehicle Color", " Vehicle Movement Direction", " Vehicle Speed (km/h)" rows, after the end of the process for the source video file.** ToDos: - More powerful detection models will be shared. - Sample codes will be developed to process different types of input videos (for different types of road traffics such as two way lane road). - Code cleanup will be performed. - UI will be developed. The input video can be accessible by this [link](https://github.com/ahmetozlu/vehicle_counting_tensorflow/blob/master/input_video.mp4). ## Theory ### System Architecture <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/103478400-80414280-4dd7-11eb-9874-3735359e2c20.png"> </p> - Vehicle detection and classification have been developed using TensorFlow Object Detection API, [see](https://github.com/ahmetozlu/vehicle_counting_tensorflow/blob/master/vehicle_detection_main.py) for more info. - Vehicle speed prediction has been developed using OpenCV via image pixel manipulation and calculation, [see](https://github.com/ahmetozlu/vehicle_counting_tensorflow/tree/master/utils/speed_and_direction_prediction_module) for more info. - Vehicle color prediction has been developed using OpenCV via K-Nearest Neighbors Machine Learning Classification Algorithm is Trained Color Histogram Features, [see](https://github.com/ahmetozlu/vehicle_counting_tensorflow/tree/master/utils/color_recognition_module) for more info. [TensorFlow™](https://www.tensorflow.org/) is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. [OpenCV (Open Source Computer Vision Library)](https://opencv.org/about.html) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. ### Tracker <p align="center"> <img src="https://user-images.githubusercontent.com/22610163/41812993-a4b5a172-7735-11e8-89f6-083ec0625f21.png" | width=700> </p> Source video is read frame by fr
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:dde3b9c59d12e97f, topic:computer-vision, topic:object-detection, topic:opencv
matched fp:dde3b9c59d12e97f, topic:deep-learning, topic:tensorflow