Is it possible to use yolov3 test and how to modify the code?
Hello, I am trying this as well and it looks that something is missing in the cfg
Parsing ../darknet/cfg/yolov3-tiny.cfg
Layer [yolo] not implemented
Hello, I am trying this as well and it looks that something is missing in the cfg
Parsing ./cfg/yolov3.cfg
Layer [shortcut] not implemented
U must implement some new layers and some new features in the yolov3 paper which is not easy.
Until now it is unavailable.
Parsing ./cfg/yolo.cfg
Layer [shortcut] not implemented
Parsing ./cfg/yolov3-tiny.cfg
Layer [yolo] not implemented
no solution yet?
Parsing ./cfg/yolov3.cfg
Layer [shortcut] not implemented
For those wanting to convert Yolo-v3 from Darknet to TensorFlow:
Yolo-v3 support was recently added to DW2TF (see this PR).
Worth noting that unlike Darkflow which is also a runtime env for training/inference, DW2TF can only convert a Darknet model & weights to TensorFlow. Running training/inference on it would then be up to the user.
Any solution to Layer [shortcut] not implemented??
Still facing the issue
Most helpful comment
U must implement some new layers and some new features in the yolov3 paper which is not easy.
Until now it is unavailable.