kpreeti096

Results 4 comments of kpreeti096

Hi, I am using yolo-obj.cfg which is as follow. I have trained my dataset with 70 images. [net] # Testing #batch=1 #subdivisions=1 # Training batch=64 subdivisions=8 height=416 width=416 channels=3 momentum=0.9...

Hi, Yes, I am using the latest code from AlexeyAB/darknet ![selection_014](https://user-images.githubusercontent.com/38974532/41057237-3bc8876e-69e4-11e8-97bc-44a2d6e63a73.png) ![selection_013](https://user-images.githubusercontent.com/38974532/41057259-45f73f46-69e4-11e8-98a9-ecedc6c68b3d.png) ./darknet detector train build/darknet/x64/data/obj.data build/darknet/x64/data/yolo-obj.cfg build/darknet/x64/data/yolo3.weights yolo-obj layer filters size input output 0 conv 32 3 x 3...

It is still running on CPU.After 6 iterations, it is coming like this 6: 9.334825, 9.320776 avg, 6: 9.334825, 9.320776 avg, 0.000000 rate, 943.138674 seconds, 384 images Loaded: 0.000048 seconds...

Hi, I am still facing the same issue, even after 23 iterations. I have used around 60 image to train my model.