apxlwl / MNN-yolov3
MNN demo of Strongeryolo, including channel pruning, android support...
☆105Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for MNN-yolov3
- provide pytorch model and ncnn model☆77Updated 4 years ago
- centernet_mobilenetv2 inference by ncnn☆64Updated 4 years ago
- Darknet2ncnn converts the darknet model to the ncnn model☆158Updated 4 years ago
- MobileNetV3 based SSD-lite implementation in Pytorch☆98Updated 5 years ago
- A C++ API of the LFFD with ncnn☆99Updated 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
- Light-weight model with NCNN inference for person/pedestrian detection.☆47Updated 5 years ago
- Object detection model thundernet tensorflow.keras implementation☆83Updated 5 years ago
- YOLOv3-training-prune☆59Updated 3 years ago
- This is the unofficial implementation of the "CenterNet:Objects as Points".Just a simple try with self-modified shufflenetv2 and yolov3.…☆111Updated 3 years ago
- Caffe Implementation of MobileNets V3☆130Updated 5 years ago
- ☆33Updated 5 years ago
- 适用于移动端的人脸识别模型,计算量与mobilefacenet相同,但megaface上提升了2%+☆233Updated 4 years ago
- An experiment of transferring backbone of yolov3 into mobilenetv3☆103Updated 5 years ago
- Convert darknet weights to caffemodel☆182Updated last year
- use TensorRT accelerate yolo3☆122Updated 5 years ago
- centerNet Caffe inference CPP☆69Updated 5 years ago
- RK3399 Pro NPU support for Caffe SSD detector☆26Updated 4 years ago
- Convert YOLOv3 and YOLOv3-tiny (PyTorch version) into TensorRT models.☆61Updated 4 years ago
- Convert MXNet model to Caffe model☆113Updated 5 years ago
- caffe implementation of insightface's combined margin method☆92Updated 5 years ago
- Support most of operator which convert mxnet to caffe.☆60Updated 5 years ago
- ☆136Updated 6 years ago
- MNN MTCNN C++☆48Updated 5 years ago
- convert your yolov3-tiny model to trt model☆90Updated 4 years ago
- NMS\SoftNMS\两种非极大值抑制算法实现☆60Updated 6 years ago
- centernet pytorch model to torch script model☆30Updated 4 years ago