Here is a simple example to get started with Detr and aloception. To learn more about Detr, you can checkout the Detr Tutorials or the scripts described bellow.
# Load model
model = alonet.detr.DetrR50(num_classes=91, weights="detr-r50").eval()
# Open and normalized frame
frame = aloscene.Frame("/path/to/image.jpg").norm_resnet()
# Run inference
pred_boxes = model.inference(model([frame]))
# Add and display the predicted boxes
frame.append_boxes2d(pred_boxes[0], "pred_boxes")
frame.get_view().render()python alonet/detr/detr_r50.py /path/to/image.jpg
python alonet/detr/train_on_coco.py
python alonet/detr/eval_on_coco.py --weights detr-r50 --batch_size 1
| all | .50 | .55 | .60 | .65 | .70 | .75 | .80 | .85 | .90 | .95 |
-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
box | 39.93 | 58.80 | 56.57 | 54.00 | 50.99 | 47.06 | 42.17 | 36.12 | 28.74 | 18.62 | 6.25 |
-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+