Louis

Deep-Learning-Approach-for-Surface-Defect-Detection. A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

A_surface_defect_detection_based_on_positive_samples. generate randomly defects on positive samples and restore them with GAN.

MVREC. Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)

baseline_segment_Resunet_pytorch. a baseline for defect segmentation

REB. REB：Reducing Biases in Representation for Industrial Anomaly Detection

MVTec-FS. The MVTec-FS dataset is a refined version of the MVTec AD dataset, designed for few-shot learning research.

res-unet_pytorch. 通过将残差网络作为编码器，改进UNet ( improving the unet by using the resnet as the encoder )

Bilinear_ConvTranspose_pytorch. A implement of bilinear interpolation with ConvTranspose(用转置卷积实现双线性插值过程）

vs2019_tensorRT_yolov5_dll_pro. C++

OCR_CRNN-Attention. A Tensorflow implementation of CRNN with attention mechanism for OCR recognition

resnet_for_grayImage_pytorch. 将resnet的输入通道设置为1，以适用单通道图片。导入预训练模式时，丢弃第一个卷积层权重。

train_yoloe. a repo to record the yoloe training scripts

dataset_APIs. 一些自己实现的数据接口 ( A repository to store the dataset APIs I have accomplished )

x2020_baseline. “2020创青春·交子杯” 新网银行金融科技挑战赛AI算法赛道baseline

parpare_object365v1_withmask. Shell

OCR_FCNN_pytorch. Python

a_util_for_params. 自己写的一个工具类，方便管理和使用深度学习的各种超参数

OCR_CRNN-CTC. A Tensorflow implementation of CRNN with CTC loss for OCR recognition

DefectMaker. DefectMaker is convenient libary to generate synthetic samples for unsupervised anomaly detection