Open InstantWindy opened 5 years ago
https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data
Does the train.py file in the repository you link to works for with the darknet.py file in this (ayooshkathuria/pytorch-yolo-v3) repository?
https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data
Does the train.py file in the repository you link to works for with the darknet.py file in this (ayooshkathuria/pytorch-yolo-v3) repository?
Hey, did u find it out?
The YOLOv3 repository below is MacOS/Windows/Linux compatible, includes multigpu/multiscale, performs rectangular+batchnorm fused inference on images, videos, webcams, and even an iOS app. It tests slightly better than darknet (60.7 COCO2014 mAP with yolov3-spp.weights
), and trains FP16/FP32 custom datasets from scratch to darknet performance, all using PyTorch :)
https://github.com/ultralytics/yolov3
@glenn-jocher I'm using a MacOS and have just finished training my dataset. How would I go by detecting my custom object using my webcam and or iphone? I have followed the tutorial you linked above.
Run this to use webcam:
git clone https://github.com/ultralytics/yolov3
cd yolov3
python3 detect.py --webcam
@glenn-jocher Is there anyway to then use a custom trained weights on ios?
@NOssendryver of course. That’s the entire point of what we do. See YOLOv5 to get started.
@glenn-jocher thanks. I've got my trained weights, but I just can not get it to work. What's the best way to get this done? Weights are in Darknet format. I can convert to Modelml, but nothing gets detected in the xcode project when I deploy to my iphone.
See YOLOV5 export tutorial https://github.com/ultralytics/yolov5#tutorials
Hi! If I want to tain my own data with your model, how to run it? Thanks!