The screenshots below shows the original image, the inference using YoloX and the inference using YoloX with SAHI
SAHI is a lightweight vision library for performing large scale object detection & instance segmentation.It already comes with a code that shows the implementation of Yolov5, MMDetection and Detectron with SAHI.This can be found here.Here the implementation of YoloX with SAHI has been shown and can be put to use with a YoloX model trained on custom dataset as well as with the pretrained YoloX models already available.
You can find a detailed blog showing the usage of it here. You can also have a look at the colab notebook showing the steps that needs to be performed for inferencing with the help of SAHI.
- https://github.com/obss/sahi
- https://github.com/Megvii-BaseDetection/YOLOX
- https://www.kaggle.com/dragonzhang/yolox-inference-on-kaggle-for-cots-lb-0-520
Readme will be updated with more info...