# 定义数据集路径dataset_path = 'PCB_Defect_Detection_Dataset' # 加载整体标注的图像和标注 def load_full_boards(folder): images_folder = os.path.join(dataset_path, 'full_boards', 'images', folder) annotations_folder = os.path.join(dataset_path, 'full_boards', 'annotations', folder) ...
你已经有一个 pcb_defect.yaml 文件,内容如下: yaml深色版本 train: ../pcb_defect_detection_dataset/images/train val: ../pcb_defect_detection_dataset/images/val test: ../pcb_defect_detection_dataset/images/test nc: 7 names: ['Short circuit', 'Damaged', 'Lack of part', 'Miss welding', ...
A novel group pyramid pooling module is proposed to efficiently extract features of a large range of resolutions, which are merged by group to predict PCB defect of corresponding scales. To train the deep model, a dataset is established, namely DeepPCB, which contains 1,500 image pairs with ...
In general, compared with the existing mainstream methods, CDI-YOLO is slightly inferior to YOLOv7-tiny in terms of the number of parameters and detection speed, but the gap is not large. It is worth noting that CDI-YOLO shows higher detection accuracy on the PCB Defect dataset. This prove...
detectionaccuracy,misseddetection,falsedetection,andunevenmodelaccuracyandsize.In ordertosolvetheproblemoflackofsampledata,thispaperproducesitsownPCBdefect dataset,whichisusedtoincreasethenumberofdetectionsamples.Inordertosolvethe problemsofleakage,misdetection,modelprecisionandsizebalance,thispaperproposesan improvedPC...
The experimental results show that the method achieves 98.3% mAP on the PCB defect dataset, the detection speed is 128 frames per second (FPS), the parameters is 5.8 M, and the giga floating-point operations per second (GFLOPs) is 12.6 G. Compared with the existing methods, th...
The main objective is to develop a PCB defect detection model that reduces the false detection rate and increases the production rate.To tackle this, in this project we are going to identify defects in a PCB using YOLO. You only look once (YOLO) is a state-of-the-art, real-time object...
In their work, they used DeepPCB, a binarized PCB dataset for defect detection. Their implementation of U-Net and DBSCAN algorithm in PCB image segmentation achieves high segmentation performance (mIoU), but with a huge model size of 31.03M parameters and it requires 36.93 GFLOPS. While SOTA ...
on the PCB defect dataset demonstrate that AP of FSPDD outperforms state-of-the-art methods under different shot settings (k=1,2,3,5,10,30) and our proposed FSPDD has a good generalization ability, in which AP reachs 0.273 whenk=30and is 5.28% higher than SOTA methods....
test: ./pcb_dataset/images/test nc: 3 # 类别数量(3类) names: ['defect1', 'defect2', 'normal'] # 类别名称 2. 训练模型 使用以下命令训练YOLOv8模型: bash深色版本 python train.py --data ./pcb_dataset/data.yaml --img 640 --batch 16 --epochs100 --name yolov8_pcb --weights yolov...