YOLO-v2-Custom-dataset-MATLAB

所属分类:模式识别(视觉/语音等)
开发工具:matlab
文件大小:35KB
下载次数:1
上传日期:2022-01-25 04:35:53
上 传 者sh-1993
说明:  在MATLAB中使用darknet19和tinyYOLOv2基网络进行目标检测的YOLOV2预测和训练现在可以用于...
(YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks now can be used with any custom dataset (Tutorial included!))

文件列表:
YOLOv2_works (0, 2022-01-25)
YOLOv2_works\HOW_TO_RUN_TUTORIAL.png (36842, 2022-01-25)
YOLOv2_works\YOLOv2_Assignment_2 (0, 2022-01-25)
YOLOv2_works\YOLOv2_Assignment_2\Main_Code.m (1237, 2022-01-25)

# YOLO v2 custom data object detection - Download link [here](https://github.com/nicknggt/YOLO-v2-Custom-dataset-MATLAB/releases/download/v1.0/YOLO_v2_Custom_Dataset_darknet.zip) ## How to perform YOLOv2 analysation on the dataset: ### (Support .jpg only!!!) ![tutorial_lmao](./YOLOv2_works/HOW_TO_RUN_TUTORIAL.png) ## Code reference: [https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2) ## What changes: - Instead of using pretrained model in matlab files (like the [original](https://github.com/matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2) did), I have updated it so it can work on any dataset as long as it placed in the folder "testing_dataset" and the new result images will be saved inside "testing_results" folder

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