| | |
| | | # Yolo-v2 Windows and Linux version |
| | | |
| | | [](https://circleci.com/gh/AlexeyAB/darknet) |
| | | |
| | | 1. [How to use](#how-to-use) |
| | | 2. [How to compile on Linux](#how-to-compile-on-linux) |
| | | 3. [How to compile on Windows](#how-to-compile-on-windows) |
| | |
| | | |
| | | 1. Train it first on 1 GPU for like 1000 iterations: `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg darknet19_448.conv.23` |
| | | |
| | | 2. Then stop and by using partially-trained model `/backup/yolo-voc_1000.weights` run training with multigpu (up to 4 GPUs): `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg yolo-voc_1000.weights -gpus 0,1,2,3` |
| | | 2. Then stop and by using partially-trained model `/backup/yolo-voc_1000.weights` run training with multigpu (up to 4 GPUs): `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg /backup/yolo-voc_1000.weights -gpus 0,1,2,3` |
| | | |
| | | https://groups.google.com/d/msg/darknet/NbJqonJBTSY/Te5PfIpuCAAJ |
| | | |