Yolov5_ncnn
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tf Faster Rcnn | 3,595 | 3 years ago | 215 | mit | Python | |||||
| Tensorflow Faster RCNN for Object Detection | ||||||||||
| Yolov4 Pytorch | 1,572 | 2 years ago | 119 | Python | ||||||
| This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO | ||||||||||
| Yolov5_ncnn | 1,407 | 2 years ago | 43 | gpl-3.0 | C++ | |||||
| 🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。 | ||||||||||
| Pytorch Ssd | 1,301 | a year ago | 106 | mit | Python | |||||
| MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv. | ||||||||||
| Tensornets | 968 |  | 2 | 2 | 3 years ago | 12 | March 31, 2020 | 15 | mit | Python |
| High level network definitions with pre-trained weights in TensorFlow | ||||||||||
| Tensorflow Face Detection | 683 | 4 years ago | 19 | apache-2.0 | Python | |||||
| A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset. | ||||||||||
| Keras Yolov3 Mobilenet | 488 | 5 years ago | 45 | mit | Python | |||||
| I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101 | ||||||||||
| Flutter_realtime_detection | 436 | 4 years ago | 8 | Dart | ||||||
| Real-time detection demo for Flutter tflite plugin | ||||||||||
| Traffic Sign Detection | 236 | 2 years ago | mit | Jupyter Notebook | ||||||
| Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems". | ||||||||||
| Tiny Dsod | 193 | 5 years ago | 20 | other | C++ | |||||
| Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage | ||||||||||
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