Pinned Repositories
Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
caffe
caffe 工程,支持depthwide层, 支持SSD目标检测
calculate_detect_mAP
计算目标检测的指标:mAP,检出率,漏检率
CCPD
[ECCV 2018] CCPD & PDRC: a diverse and well-annotated dataset for license plate detection and recognition
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
gen-Chinese-plate
生成**车牌,包括普通蓝牌和新能源车牌
mmdetection
Open MMLab Detection Toolbox and Benchmark
MobileNet-v2-SSD-caffe
SSD检测算法 MobileNet-v2 caffe
PSENET.Pytorch
PSENET.Pytorch 字符文本分割
ResNeSt
ResNeSt: Split-Attention Network
CV-deeplearning's Repositories
CV-deeplearning/gen-Chinese-plate
生成**车牌,包括普通蓝牌和新能源车牌
CV-deeplearning/calculate_detect_mAP
计算目标检测的指标:mAP,检出率,漏检率
CV-deeplearning/PSENET.Pytorch
PSENET.Pytorch 字符文本分割
CV-deeplearning/MobileNet-v2-SSD-caffe
SSD检测算法 MobileNet-v2 caffe
CV-deeplearning/caffe
caffe 工程,支持depthwide层, 支持SSD目标检测
CV-deeplearning/Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
CV-deeplearning/CCPD
[ECCV 2018] CCPD & PDRC: a diverse and well-annotated dataset for license plate detection and recognition
CV-deeplearning/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
CV-deeplearning/mmdetection
Open MMLab Detection Toolbox and Benchmark
CV-deeplearning/ResNeSt
ResNeSt: Split-Attention Network
CV-deeplearning/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
CV-deeplearning/YOLOV3.Pytorch
yolov3.pytorch 实现目标检测
CV-deeplearning/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite