I am using yolov3 tiny for detecting the boundary box of an object. I trained over 14000 labelled images. And while predicting the boundary box on images, I am getting 0,0,0,0 as the boundary box co ordinates for few images. After further investigating, I found that the key "detections" is returning an empty list for those images. Is there any way to fix it out?
I am using yolov3 tiny for detecting the boundary box of an object. I trained over 14000 labelled images. And while predicting the boundary box on images, I am getting 0,0,0,0 as the boundary box co ordinates for few images. After further investigating, I found that the key "detections" is returning an empty list for those images. Is there any way to fix it out?
detections = { "detections": detections, "image": image, "caption": "\n
".join(imcaption) }