# Vehicle-Detection **Repository Path**: lpf20200714/Vehicle-Detection ## Basic Information - **Project Name**: Vehicle-Detection - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-13 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Vehicle Detection ## Compare different model by using same dataset 1. [MobileNet-YOLO](https://github.com/eric612/MobileNet-YOLO) 2. [YoloV3](https://pjreddie.com/darknet/yolo/) 3. [FasterRCNN](https://github.com/intel/caffe) 4. [MobileNet(V2) SSD](https://github.com/eric612/MobileNet-SSD-windows) ### New !! Detection and Segementation Dectection and Segementation in one stage end-to-end [models](http://ethereon.github.io/netscope/#/gist/4e0f9e4840f0cced223ee60c31772b68) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/rHMW8gkbe6s/0.jpg)](https://www.youtube.com/watch?v=rHMW8gkbe6s) [Training project](https://github.com/eric612/MobileNet-YOLO/edit/detection_with_segmentation/README.md) ### MobileNet-YOLO Result [Run on linux](https://github.com/eric612/MobileNet-YOLO) [Run on windows](https://github.com/eric612/Caffe-YOLOv2-Windows) [Models and Weights](/MobileNet-YOLO) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/moW84z9zKOg/0.jpg)](https://www.youtube.com/watch?v=moW84z9zKOg) ### YOLOv3 Tiny Result [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/rA5nHltRGRE/0.jpg)](https://www.youtube.com/watch?v=rA5nHltRGRE) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/KSsnJuSrWMw/0.jpg)](https://www.youtube.com/watch?v=KSsnJuSrWMw) ### YOLOv3 Tiny Model [weights](/YOLO/yolov3-tiny_final.weights) [model](/YOLO/yolov3-tiny.cfg) ### YOLOv3-416x416-full Result [![YOLOv3-full](https://img.youtube.com/vi/YYz58loXJU0/0.jpg)](https://www.youtube.com/watch?v=YYz58loXJU0) ### YOLOv3-416x416-full Model [weights](https://drive.google.com/open?id=1BIBiZmTQOuqV2yQ1S67FSMCzRTmzThon) [model](/YOLO/yolov3.cfg) ### MobileNetSSD Model [weights](https://drive.google.com/open?id=1LbLSTPFSlHML5qAUYN-kt1bw2HxvvNWS) [model](https://drive.google.com/open?id=1KOE5r-71FFWU0LZbpo9HMEUwM_RE1LHR) ### MobileNetSSD_V2 Model [weights](https://drive.google.com/open?id=1v5X4tCaMFa59cfS4Ksr1J-Fl40vKlfpl) [model](https://github.com/eric612/MobileNet-SSD-windows/blob/master/models/MobileNetV2/deploy.prototxt) ### MobileNetSSD Result [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/jn6SOzT_wPA/0.jpg)](https://www.youtube.com/watch?v=jn6SOzT_wPA) ### MobileNetSSD_V2 Result [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/oc3tXxOoSH4/0.jpg)](https://www.youtube.com/watch?v=oc3tXxOoSH4) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/dsdeU8B0CJE/0.jpg)](https://www.youtube.com/watch?v=dsdeU8B0CJE) ### FasterRCNN Model [VGG16](https://drive.google.com/open?id=1NQ9F74FTZnXM-hyuwYAoDBOYBjDSf5bp) [VGG19](https://drive.google.com/open?id=1FiSktKooiABZJB5UIun9tAmD5aTEAHxn) ### FasterRCNN Result ####VGG19 [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/NhID_pNwgac/0.jpg)](https://www.youtube.com/watch?v=NhID_pNwgac) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/AjnaTelt0KM/0.jpg)](https://www.youtube.com/watch?v=AjnaTelt0KM) [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/vxk77dicGAQ/0.jpg)](https://www.youtube.com/watch?v=vxk77dicGAQ) ####VGG16 [![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/xjIB9t1tLOg/0.jpg)](https://www.youtube.com/watch?v=xjIB9t1tLOg) ### Source Video [street](https://drive.google.com/open?id=1Wkk_n_yXz0C8nuwPK_1B8bJVJf7vzWeB) [tunnel](https://drive.google.com/open?id=1TDdBmZDtm_02WCLM3ENvnNnm6jUmeJFu) [rear view](https://drive.google.com/open?id=1pJQ4F1jqUHywI9bw0r2f3R-xyJOghujm) [night 1](https://drive.google.com/open?id=1r2QyxgAy_dt_30rWZXcHG5TE0zltXdkY) [night 2](https://drive.google.com/open?id=11NKTl15IPMdowTZnVVW8_HAYSdpTeJU-)