-
MobileNet-SSD Public
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
-
LeNet5 Public
Pure numpy implementation of LeNet5, to help you understand how CNN works.
-
KCF Public
python implementation of "high-speed tracking with kernelized correlation filters"
-
rscnn Public
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
-
MobileNetv2-SSDLite Public
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
-
ssd Public
Forked from weiliu89/caffeCaffe: a fast open framework for deep learning.
-
FocalLoss Public
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
-
py-faster-rcnn Public
Forked from rbgirshick/py-faster-rcnnFaster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Python Other UpdatedNov 28, 2017 -
caffe-fast-rcnn Public
Forked from rbgirshick/caffe-fast-rcnnCaffe fork that supports Fast R-CNN
C++ Other UpdatedNov 27, 2017 -
SqueezeNet-SSD Public
SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643
-
caffe-model Public
Forked from soeaver/caffe-modelCaffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
-
{{ message }}