nl = model.model[-1].nl # number of detection layers (used for scaling hyp['obj']) imgsz, imgsz_test = [check_img_size(x, gs) for x in opt.img_size] # verify imgsz are gs-multiples # DP mode if cuda and rank == -1 and torch.cuda.device_count() > 1: ...
In the experiment results, the accuracy of vehicle position detection is evaluated based on the Euclidean distance. The average difference between the results of position detection with ground-truth is 12.07 pixels with a camera angle 40 掳. The percentage of speed measurement accuracy using the ...
Python pageauc/speed-camera Star1k A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for mot...
"], "vehicle_type": vehicle["vehicle_type"], "detection_confidence": vehicle["detection_confidence"], "color_info": vehicle["color_info"], "model_info": vehicle["model_info"], "speed_info": vehicle["speed_info"] } for vehicle in result['detected_vehicles'] ] }) vehicle_detection....
Type-1 fuzzy attention based YOLO detector for vehicle detection. Expert Syst. Appl. 237 https://doi.org/10.1016/j.eswa.2023.121209 (March. 2024). Janak, D., Trivedi, S. D., Mandalapu, D. H. & Dave Vision-based real-time vehicle detection and vehicle speed measurement using morphology ...
Sighthound ALPR+ API delivers precise vehicle detection, recognition, and analytics. It is designed for seamless integration into any workflow, whether you’re running it on local servers, edge devices, or in the cloud. Easy Integration and Setup Deploy as a Docker service Supports Windows, Linux...
We could use image downsampling, multi-threads, or GPU processing to improve the speed. But, there are probably a lot engineering work need to be done to make it running real-time. Also, in this application, I limit the vertical searching range to control the number of searching windows,...
[barracuda-fsh] rewrote the entire program for Python 3 and included a few other upgrades to it as well. Key feature updates with this version besides being completely rewritten in Python 3 include enhanced support for OBD-II commands as well as automating the detection of the vehicle’s ...
Vehicle-Car-detection-and-multilabel-classification 车辆检测和多标签属性识别 一个基于Pytorch精简的框架,使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别。 (A precise pytorch based framework for using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classificatio...
So We picked Linear SVM classifier because it provides a reasonable trade-off between speed and accuracy. The subset of the vehicle and non-vehicle images of the GTI Vehicle Image Database was used for the training. The sample of the vehicle and non-vehicle images of that dataset is shown ...