Using DETR for object detection can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, and mask image analysis.
The solution process is:
Annotate images -> convert to coco format -> training -> inference
After running, open the web page for image annotation.
In # parameters, --port 8801 is the port occupied by the webpage. If user 8801 is occupied, please change the port value by yourself.
The training and verification images are in data/train and data/val2017.
Convert the annotation file from VOC format to COCO format.
The converted json annotation file is stored in data/annotations.
Start training images after running.
Inferring a single image.
--inference_file is the inference image path.
--num_classes is how many classes are trained.
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