| | |
|---|
| | | |
|---|
| | | **Note:** After training use such command for detection: `darknet.exe detector test data/obj.data yolo-obj.cfg yolo-obj_8000.weights` |
|---|
| | | |
|---|
| | | **Note:** if error `Out of memory` occurs then in `.cfg`-file you should increase `subdivisions=16`, 32 or 64: [link](https://github.com/AlexeyAB/darknet/blob/0039fd26786ab5f71d5af725fc18b3f521e7acfd/cfg/yolov3.cfg#L4) |
|---|
| | | |
|---|
| | | ### How to train tiny-yolo (to detect your custom objects): |
|---|
| | | |
|---|
| | | Do all the same steps as for the full yolo model as described above. With the exception of: |
|---|
