Devendra Swamy
Devendra Swamy
optimizer = Adam(lr=1e-5) , lr means learning rate , by using optimizer we can get the global minima in model training so for that we are using optimizer and we...
> does anyone know: how to apply it to kitti dataset not just nuscenes? Did you get any solution ? if you got please help me.
> Hi, I have trained and tested it on my own dataset. Actually, I used SegTrack v2. > And I put my works here: https://github.com/JosieHong/SiamMask_on_Your_Own_Dataset > > I hope it...
How can i train the faster rcnn model with my own dataset ?
Any one can Please reply on this?
@Laughing-q BOFORE RESUME CMD:- yolo task=detect mode=train model=yolov8n.pt" data="/home/ec2-user/data2/data/ultralytics_v1/datasets/ASB_V26/train_ASB_03022023.yaml" iou=0.45 epochs=1000 imgsz=640 device=0 name=ASB_V26 batch=16 patience=100 augment=True project=/home/ec2-user/data2/data/ultralytics/runs/detect/BOTTOM/ RESUME CMD :- yolo task=detect mode=train model="/home/ec2-user/data2/data/ultralytics/runs/detect/BOTTOM/ASB_V26/weights/last.pt" data="/home/ec2-user/data2/data/ultralytics_v1/datasets/ASB_V26/train_ASB_03022023.yaml" iou=0.45 epochs=1000 imgsz=640 device=0...
@pubpy2015 can you please share the dataset details here , that will help me to fastest the process. thanking you in advance.
   Please refer above images for results and MAP values of model . kindly review it and if any files required please let me know. thanking you in...
Thank you for your valuable reply . Dataset: 593 train and 56 validation images and all labels had only one class is "foreign particle", for inference purpose i kept remaining...
--batch size : 64 --epochs : 1000 --patience :100 [hyp.txt](https://github.com/ultralytics/yolov5/files/10163398/hyp.txt) Please refer the hyp file and above parameters , Thank you for support.