chuanqi305

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

chuanqi305

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

chuanqi305

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

chuanqi305

A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.

chuanqi305

python implementation of "high-speed tracking with kernelized correlation filters"

chuanqi305

SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643

chuanqi305

Caffe: a fast open framework for deep learning.

chuanqi305