Pinned Repositories
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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/KCF-
目标跟踪
2017TJM/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
2017TJM/car-detection-yolo
Autonomous driving - car detection using the very powerful YOLO model
2017TJM/Character-Segmentation
Character Segmentation using TensorFlow
2017TJM/HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
2017TJM/InceptionV3-SSD
Tensorflow implementation of InceptionV3-SSD
2017TJM/keras_textboxes_plusplus
2017TJM/learningdl
三个月教你从零入门深度学习Tensorflow版配套代码
2017TJM/spatial-transformer-network
A Tensorflow Implementation of Spatial Transformer Networks
2017TJM/SSD-pytorch
Single Shot MultiBox Detector in pytorch 0.4.0
2017TJM/benchmark_results
visual tracker benchmark results
2017TJM/carPlateRecognize
OpenCV+Qt5 进行车牌分割和字符识别
2017TJM/cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
2017TJM/Data-Augmentation-for-Object-Detection-YOLO-
This is a python based library to augment the training dataset for object detection using YOLO.
2017TJM/deep-unet-for-satellite-image-segmentation
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
2017TJM/DriverPostureClassification
PyTorch-based Driver Posture Classification
2017TJM/Fast-RCNN
My implementation of Fast-RCNN （tensorflow）
2017TJM/goodALPR
2017TJM/kaggle-Digit-Recognizer
Kaggle入门级比赛-数字识别
2017TJM/keras-text
Text Classification Library in Keras
2017TJM/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
2017TJM/mobilenetv2SSD
mobilenetv2SSD
2017TJM/Multi_Label_TextCNN
textcnn多标签文本分类
2017TJM/opencv-tutorial
OpenCV基础入门公开课 1Z学院出品
2017TJM/opencv_python
opencv of python
2017TJM/Plate_LPR
最终版车牌识别系统，使用Pyqt5实现GUI，运行MianWindow.py
2017TJM/PyQt5_example
2017TJM/PyQt5_exmaple
PyQt5_exmaple
2017TJM/SSD_tensorflow_VOC
2017TJM/Unets
Implemenation of UNets for Lung Segmentation