Pinned Repositories
-
python 等资料的学习汇总
ALFNet
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
AnnotatedNetworkModelGit
加注释的网络模型（便于理解）
ASFF
yolov3, ASFF
CCPD-data-for-YOLO-v3
CCPD data for YOLO v3
DIoU-SSD-pytorch
Distance-IoU Loss into SSD
KCF-
目标跟踪
Study-python-is-becoming-better
yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
2017TJM's Repositories
2017TJM/-License-plate-end-to-end-recognition
Convolutional neural network is used for end-to-end recognition, input the whole license plate and the corresponding label for training; during the test, input the image including the license plate, and output the corresponding license plate label. It can realize license plate recognition based on convolution neural network, and can realize license plate recognition without character segmentation.
2017TJM/2017TJM
Config files for my GitHub profile.
2017TJM/2017TJM.github.io
个人博客
2017TJM/LicensePlateDetection
2017TJM/yolo3-keras
这是一个yolo3-keras的源码，可以用于训练自己的模型。
2017TJM/YOLOV3
yolov3 by pytorch
2017TJM/Study-python-is-becoming-better
2017TJM/yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
2017TJM/Ai-learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域
2017TJM/crnn_seq2seq_ocr_pytorch
Extremely simple implement for Chinese OCR by PyTorch.
2017TJM/CVPR2020-Code
CVPR 2020 论文开源项目合集
2017TJM/Data-analysis
机器学习数据和代码
2017TJM/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
2017TJM/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
2017TJM/docs
The open-source repo for docs.github.com
2017TJM/fake-plate
fake plate
2017TJM/imgaug
Image augmentation for machine learning experiments.
2017TJM/keras
Deep Learning for humans
2017TJM/Keras-DIOU-YOLOv3
Keras上700行代码复现YOLOv3！使用DIOU loss。支持将模型导出为pytorch模型！
2017TJM/model-compression
model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for binary value of feature(A))
2017TJM/my_fake_plate
my_fake_plate
2017TJM/PyMIC
2017TJM/Python-Core-50-Courses
Python语言基础50课
2017TJM/python_data_analysis_and_mining_action
《python数据分析与挖掘实战》的代码笔记
2017TJM/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
2017TJM/Pytorch_Retina_License_Plate
轻量级的车牌检测项目（支持车牌四角定位、矫正对齐）
2017TJM/SEU-AI
AI项目
2017TJM/tensorflow-serving-yolov3
主要对原tensorflow版本算法进行了网络修改，显示调整，数据处理等细节优化，详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集（非80类中的一类），mAP为97.51，FPS在1080上测试15-20帧！
2017TJM/text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
2017TJM/Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5
天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案