Hi everyone,
I have been working to deploy my YOLOv4 model to Flask recently. When I finished the deployment, I checked the performance of detection between the tf-yolov4 model and the darknet model performance. With IOU and confidence set to 0.5, the tf-yolov4 was performing way worse than the darknet model.
Let alone the tf-yolov4 can only detect the maximum of 50 objects in the pic but darknet can do more than that, the classes of detection is also different from the darknet model.
Does anyone encounter the same situation? Any insight or solution is very appreciated! Thank you very much!
Hi everyone, I have been working to deploy my YOLOv4 model to Flask recently. When I finished the deployment, I checked the performance of detection between the tf-yolov4 model and the darknet model performance. With IOU and confidence set to 0.5, the tf-yolov4 was performing way worse than the darknet model.
Let alone the tf-yolov4 can only detect the maximum of 50 objects in the pic but darknet can do more than that, the classes of detection is also different from the darknet model.
Does anyone encounter the same situation? Any insight or solution is very appreciated! Thank you very much!