ArtyZe / yolov3_lite
yolov3 model compress and acceleration (quantization, sparse)， c++ version
☆37Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for yolov3_lite
- centernet, mobilenetv2, centerface☆51Updated 4 years ago
- centernet_mobilenetv2 inference by ncnn☆64Updated 4 years ago
- Implementation RefinedetLite☆29Updated 4 years ago
- A C++ API of the LFFD with ncnn☆99Updated 4 years ago
- Support most of operator which convert mxnet to caffe.☆60Updated 5 years ago
- Modified RefineDet☆23Updated 4 years ago
- Lightweight Networks such as MobileNet, ShuffleNet and ThunderNet implemented in Pytorch☆72Updated 4 years ago
- Yolo(including yolov1 yolov2 yolov3)running on caffe windows. Anyone that is not familiar with linux can use this project to learn caffe …☆17Updated 6 years ago
- A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆52Updated 6 years ago
- train Snet(by thundernet) in imagenet☆18Updated 4 years ago
- ☆32Updated 5 years ago
- CenterNet with MobileNetV3 backboned helmet detection based on PyTorch with inference code only.☆51Updated 3 years ago
- provide pytorch model and ncnn model☆77Updated 4 years ago
- tensorRT retinaface mobilenet☆42Updated 5 years ago
- Stronger SSD & YOLO v3☆39Updated 5 years ago
- Retinaface caffe with mnetv2 0.25(and many more)☆57Updated 5 years ago
- Darknet implementation of CenterNet☆29Updated 4 years ago
- Apply the pruning strategy for MobileNet_v2☆51Updated 5 years ago
- This is caffe implementation of shuffleNet V2☆69Updated 6 years ago
- ☆33Updated 5 years ago
- centernet pytorch model to torch script model☆30Updated 4 years ago
- Lightweight-face-detection-CenterNet☆100Updated 4 years ago
- ☆34Updated 5 years ago
- Object detection model thundernet tensorflow.keras implementation☆83Updated 5 years ago
- Merge convolution and batchnorm layers in both Caffe and PyTorch using Python☆18Updated 5 years ago
- Parallel CUDA implementation of NON maximum Suppression☆77Updated 4 years ago
- 重新设计的RFBNet300,模型参数量只有0.99MB，AP达到0.78，200FPS☆99Updated 4 years ago
- Object Detection using EfficientNet☆45Updated 5 years ago
- Light-weight model with NCNN inference for person/pedestrian detection.☆47Updated 5 years ago
- MobileNetV3 based SSD-lite implementation in Pytorch☆98Updated 5 years ago