chuanqi305

Pinned Repositories

caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Language:Python3 2 04
FocalLoss
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
Language:C++171 20 1158
KCF
python implementation of "high-speed tracking with kernelized correlation filters"
Language:Python45 3 014
LeNet5
Pure numpy implementation of LeNet5, to help you understand how CNN works.
Language:Python12 3 03
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Language:Python2k 85 1961.2k
MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
Language:Python448 29 66231
myshell
myshell
Language:C2 2 00
rscnn
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
Language:Java64 8 622
SqueezeNet-SSD
SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643
64 6 1335
ssd
Caffe: a fast open framework for deep learning.
Language:C++38 4 033

chuanqi305's Repositories

chuanqi305/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Language:Python2k 85 1961.2k
chuanqi305/MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
Language:Python448 29 66231
chuanqi305/FocalLoss
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
Language:C++171 20 1158
chuanqi305/rscnn
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
Language:Java64 8 622
chuanqi305/SqueezeNet-SSD
SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643
64 6 1335
chuanqi305/KCF
python implementation of "high-speed tracking with kernelized correlation filters"
Language:Python45 3 014
chuanqi305/ssd
Caffe: a fast open framework for deep learning.
Language:C++38 4 033
chuanqi305/LeNet5
Pure numpy implementation of LeNet5, to help you understand how CNN works.
Language:Python12 3 03
chuanqi305/caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Language:Python3 2 04
chuanqi305/myshell
myshell
Language:C2 2 00
chuanqi305/caffe-fast-rcnn
Caffe fork that supports Fast R-CNN
Language:C++
chuanqi305/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Language:Python