PhenomenalOnee
PhenomenalOnee
Sir the confidence is high for the false detection, is there a way to add negative samples in training
Also increasing the confidence decreases the detection rate too
@ShiqiYu Sir I have trained the model (original caffe yunetv1) on wider dataset, (I have modified the pytorch model to match the original caffe v1 model), and in this model...
 This image has detection on hand with 86% confidence
i am doing detection at 160x120 dimension, i just want to know the way i can modify the multiloss function to accept negative samples
So We need to do some changes to train with negative samples in data.py and multibox_loss.py In file data.py In class PreProc , if we pass an image with label...
Can someone please provide your pretrained model with inference code in python
@Watebear yes sure we can . I have mailed you. we can contact and start this journey
@dingjiansw101 i am using demo_large_image.py for inference. I have downloded these images from https://unsplash.com/s/photos/military-base-aerial-view
I am using CPU for predictions.